Jaideep Chakladar

41 total papers · 706 total citations
23 papers, 499 citations indexed

About

Jaideep Chakladar is a scholar working on Molecular Biology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Jaideep Chakladar has authored 23 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Infectious Diseases and 5 papers in Cancer Research. Recurrent topics in Jaideep Chakladar's work include Gut microbiota and health (8 papers), COVID-19 Clinical Research Studies (6 papers) and Cancer-related molecular mechanisms research (5 papers). Jaideep Chakladar is often cited by papers focused on Gut microbiota and health (8 papers), COVID-19 Clinical Research Studies (6 papers) and Cancer-related molecular mechanisms research (5 papers). Jaideep Chakladar collaborates with scholars based in United States and Netherlands. Jaideep Chakladar's co-authors include Weg M. Ongkeko, Wei Tse Li, Eric Y. Chang, Mahadevan Rajasekaran, Selena Z. Kuo, Aditi Gnanasekar, Michael Yu, Joseph C. Tsai, Xiao Qi Wang and Lindsay M. Wong and has published in prestigious journals such as International Journal of Molecular Sciences, Cells and Cancers.

In The Last Decade

Jaideep Chakladar

22 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Jaideep Chakladar 179 110 98 98 67 23 499
Amos Cahan 103 0.6× 42 0.4× 53 0.5× 46 0.5× 58 0.9× 32 588
Akram Mohammed 131 0.7× 40 0.4× 58 0.6× 26 0.3× 46 0.7× 27 453
Honglin Jiang 102 0.6× 121 1.1× 52 0.5× 28 0.3× 27 0.4× 38 491
Adam S. Kim 67 0.4× 291 2.6× 61 0.6× 91 0.9× 109 1.6× 16 511
Anne Chen 45 0.3× 130 1.2× 257 2.6× 171 1.7× 47 0.7× 30 571
Richard M. Wardrop 129 0.7× 50 0.5× 41 0.4× 74 0.8× 38 0.6× 29 510
Rupinder Mann 45 0.3× 122 1.1× 139 1.4× 57 0.6× 194 2.9× 38 612
Patrick D. Tyler 88 0.5× 31 0.3× 9 0.1× 58 0.6× 113 1.7× 31 613
Sarah Sandmann 193 1.1× 28 0.3× 33 0.3× 39 0.4× 31 0.5× 40 567
Yuncui Gan 72 0.4× 70 0.6× 38 0.4× 302 3.1× 29 0.4× 12 481

Countries citing papers authored by Jaideep Chakladar

Since Specialization
Citations

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

Fields of papers citing papers by Jaideep Chakladar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaideep Chakladar

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