D. Majumdar

407 citations
11 papers · 324 indexed · h-index 7
Topics
Optimal Experimental Design Methods (3 papers)Service-Oriented Architecture and Web Services (2 papers)Cancer Research and Treatments (2 papers)
Partner nations
United StatesIsraelIndia

In The Last Decade

D. Majumdar

11 papers receiving 319 citations

Peers

D. Majumdar
Comparison fields: 5 of 73
  • Molecular Biology 197
  • Oncology 79
  • Cancer Research 51
  • Biotechnology 44
  • Immunology and Allergy 38
Replace Brian D. O’Connor with:
Brian D. O’Connor United States
Panagiotis Karras Belgium
Emanuele Dragonetti Italy
Yum L. Yip Switzerland
Antonio G. Trinidad Spain
Mariko Kambe Japan
Máirín Rafferty Ireland
Roland Weís Austria
D. Majumdar relative to Brian D. O’Connor United States Brian D. O’Connor's profile →
Citations per field
00.5×1.5×1.9×
Brian D. O’Connor · 1×
Citations per year

Countries citing papers authored by D. Majumdar

Since Specialization
Citations

This map shows the geographic impact of D. Majumdar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Majumdar more than expected).

Fields of papers citing papers by D. Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Majumdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Majumdar. The network helps show where D. Majumdar may publish in the future.

Co-authorship network of co-authors of D. Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of D. Majumdar. A scholar is included among the top collaborators of D. Majumdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Majumdar. D. Majumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 146
3 6
4 12
5 15
6 45
7 4
8
Distribution of Endothelial Cell Markers on Uveal Melanoma Cells in Primary Human Tumor Tissue: Effect on the Determination of Microvascular Density (MVD)
1
9
Prognostic significance of periodic acid-Schiff-positive patterns in primary cutaneous melanoma.
81
10 3
11 8

About D. Majumdar

D. Majumdar is a scholar working on Immunology and Allergy, Statistics and Probability and Management Science and Operations Research, having authored 11 papers that have together received 324 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (3 papers), Service-Oriented Architecture and Web Services (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (38 citations), Biotechnology (44 citations) and Microbiology (21 citations). D. Majumdar has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Tapas K. Das Gupta, Michael Warso, Robert Folberg, Tohru Yamada, Cynthia Schaeffer, Konstantin Christov, Craig W. Beattie, Linda R. Bressler, Jon Richards and Andrew J. Maniotis. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer and Biometrika.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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