Subhanjan Mondal

60 total papers · 1.8k total citations
30 papers, 1.4k citations indexed

About

Subhanjan Mondal is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Subhanjan Mondal has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Subhanjan Mondal's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Cellular Mechanics and Interactions (6 papers) and Membrane Separation Technologies (4 papers). Subhanjan Mondal is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Cellular Mechanics and Interactions (6 papers) and Membrane Separation Technologies (4 papers). Subhanjan Mondal collaborates with scholars based in United States, Germany and China. Subhanjan Mondal's co-authors include Hongbo R. Luo, Said A. Goueli, Besnik Bajrami, Amit Prasad, Jiro Sakai, Yonghui Jia, Angelika A. Noegel, Kevin Hsiao, Yitang Li and Kulandayan K. Subramanian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Subhanjan Mondal

28 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Subhanjan Mondal 703 414 227 149 112 30 1.4k
Neil Dufton 932 1.3× 474 1.1× 148 0.7× 145 1.0× 174 1.6× 23 1.7k
Mohammad Tauseef 769 1.1× 261 0.6× 187 0.8× 232 1.6× 64 0.6× 41 1.6k
Robert A. Matthijsen 430 0.6× 298 0.7× 161 0.7× 121 0.8× 92 0.8× 23 1.2k
Anca Violeta Gafencu 521 0.7× 299 0.7× 124 0.5× 237 1.6× 92 0.8× 42 1.3k
Hermann Haller 610 0.9× 400 1.0× 143 0.6× 106 0.7× 127 1.1× 33 1.5k
Marion Wiesnet 970 1.4× 281 0.7× 179 0.8× 126 0.8× 135 1.2× 17 1.5k
Yasushi Adachi 620 0.9× 572 1.4× 107 0.5× 98 0.7× 134 1.2× 25 1.5k
Edith Fitzke 866 1.2× 410 1.0× 149 0.7× 128 0.9× 134 1.2× 40 1.4k
Barbara Geering 1.1k 1.5× 590 1.4× 111 0.5× 131 0.9× 246 2.2× 22 1.8k
Martin J. Romeo 703 1.0× 270 0.7× 174 0.8× 235 1.6× 97 0.9× 31 1.2k

Countries citing papers authored by Subhanjan Mondal

Since Specialization
Citations

This map shows the geographic impact of Subhanjan Mondal'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 Subhanjan Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhanjan Mondal more than expected).

Fields of papers citing papers by Subhanjan Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhanjan Mondal. 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 Subhanjan Mondal. The network helps show where Subhanjan Mondal may publish in the future.

Co-authorship network of co-authors of Subhanjan Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Subhanjan Mondal. A scholar is included among the top collaborators of Subhanjan Mondal 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 Subhanjan Mondal. Subhanjan Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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