Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Sahu, S.

  • Google
  • 2
  • 9
  • 16

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023A Comparative Evaluation of the Effect of Different Beverages on Colour Stability and Surface Micromorphology of Nanocomposite Restorative Material.3citations
  • 2019Fine-needle aspiration cytology of gallbladder with an attempt of cytomorphological classification.13citations

Places of action

Chart of shared publication
Faseeha Haqh, M.
1 / 1 shared
Chatterjee, S.
1 / 9 shared
M., V.
1 / 1 shared
Singh, V.
1 / 6 shared
Mustafa Khan, A.
1 / 1 shared
Singh, T.
1 / 2 shared
Chandra, Smita
1 / 2 shared
Sk, Shukla
1 / 1 shared
Chandra, H.
1 / 2 shared
Chart of publication period
2023
2019

Co-Authors (by relevance)

  • Faseeha Haqh, M.
  • Chatterjee, S.
  • M., V.
  • Singh, V.
  • Mustafa Khan, A.
  • Singh, T.
  • Chandra, Smita
  • Sk, Shukla
  • Chandra, H.
OrganizationsLocationPeople

article

Fine-needle aspiration cytology of gallbladder with an attempt of cytomorphological classification.

  • Chandra, Smita
  • Sk, Shukla
  • Sahu, S.
  • Chandra, H.
Abstract

<h4>Background</h4>Image-guided fine-needle aspiration has emerged as an effective diagnostic tool for precise diagnosis of deep-seated lesions. Although occasional studies have made an attempt to classify the gallbladder carcinoma on cytology, literature lacks the standardized cytological nomenclature system used for it. The present study was conducted to study the role of fine-needle aspiration cytology (FNAC) in diagnosis of gallbladder lesions with an attempt of cytomorphological classification.<h4>Methods</h4>The study included cases of image-guided FNAC of the gallbladder over a period of 3½ years. An attempt was made to categorize gallbladder lesions on basis of architectural and cytomorphological features along with analysis of management.<h4>Results</h4>The study included 433 cases and lesions were categorized on FNAC into five categories ranging from Category 1 (inadequate), Category 2 (negative for malignancy), Category 3 (atypical cells), Category 4 (highly atypical cells suggestive of malignancy), and Category 5 (positive for malignancy). The most common architectural pattern observed on FNAC of neoplasm was sheets and acini with predominance of columnar cells and adenocarcinoma being the most common malignancy. The histopathological diagnosis was available in 93 cases with cytohistopathological concordance of 94.4% in malignant cases.<h4>Conclusions</h4>Image-guided FNAC plays an important role in diagnosis of gallbladder lesions with minimal complications. The cytomorphological classification of gallbladder lesions provides an effective base for accurate diagnosis and management. Category 3 and 4 are the most ambiguous category on FNAC which should be managed by either repeat FNAC or surgery in the light of worrisome radiological features. The vigilant examination of architectural pattern and cytomorphological features of the smears may be helpful in clinching the diagnosis and precisely subtyping malignant tumors along with prognostication of these tumors.

Topics