Munmun Chowdhury

15 total papers · 790 total citations
8 papers, 595 citations indexed

About

Munmun Chowdhury is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Munmun Chowdhury has authored 8 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Microbiology. Recurrent topics in Munmun Chowdhury's work include Invertebrate Immune Response Mechanisms (4 papers), Insect Resistance and Genetics (3 papers) and Antimicrobial Peptides and Activities (3 papers). Munmun Chowdhury is often cited by papers focused on Invertebrate Immune Response Mechanisms (4 papers), Insect Resistance and Genetics (3 papers) and Antimicrobial Peptides and Activities (3 papers). Munmun Chowdhury collaborates with scholars based in United States, China and Philippines. Munmun Chowdhury's co-authors include Xiao‐Qiang Yu, Yadong Huang, Hui‐Yu Yi, Zhen He, Yuzhen Lu, Xu‐Sheng Liu, Y. Tony Ip, Yu‐Feng Wang, Michael R. Strand and Chunfeng Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Munmun Chowdhury

7 papers receiving 584 citations

Hit Papers

Insect antimicrobial pept... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Munmun Chowdhury 382 259 223 200 83 8 595
Jean Lambert 305 0.8× 366 1.4× 463 2.1× 321 1.6× 62 0.7× 7 688
Bruce M. Christensen 310 0.8× 253 1.0× 94 0.4× 133 0.7× 44 0.5× 9 547
Jérôme Beaufays 156 0.4× 164 0.6× 28 0.1× 199 1.0× 47 0.6× 10 660
Nouara Lhocine 233 0.6× 437 1.7× 37 0.2× 203 1.0× 103 1.2× 7 688
Vincent Leclerc 334 0.9× 403 1.6× 45 0.2× 184 0.9× 173 2.1× 13 695
Elisabeth Keppi 249 0.7× 311 1.2× 444 2.0× 337 1.7× 42 0.5× 9 644
Bok‐Luel Lee 268 0.7× 393 1.5× 113 0.5× 268 1.3× 160 1.9× 9 637
Kuninori Kinoshita 247 0.6× 453 1.7× 128 0.6× 209 1.0× 138 1.7× 9 690
Anette Carlsson 227 0.6× 270 1.0× 232 1.0× 318 1.6× 42 0.5× 11 593
M. Charlet 207 0.5× 268 1.0× 309 1.4× 247 1.2× 52 0.6× 6 545

Countries citing papers authored by Munmun Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Munmun Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munmun Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Munmun Chowdhury. A scholar is included among the top collaborators of Munmun Chowdhury 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 Munmun Chowdhury. Munmun Chowdhury 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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