Jaydeep K. Srimani

17 total papers · 1.3k total citations
12 papers, 909 citations indexed

About

Jaydeep K. Srimani is a scholar working on Genetics, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Jaydeep K. Srimani has authored 12 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Molecular Medicine. Recurrent topics in Jaydeep K. Srimani's work include Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Gene Regulatory Network Analysis (2 papers). Jaydeep K. Srimani is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Gene Regulatory Network Analysis (2 papers). Jaydeep K. Srimani collaborates with scholars based in United States, China and Singapore. Jaydeep K. Srimani's co-authors include Lingchong You, Allison J. Lopatkin, Hannah R. Meredith, Robert P. Smith, Rick Durrett, Shuqiang Huang, David Karig, Tatyana A. Sysoeva, Sharon Bewick and Anna J. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Jaydeep K. Srimani

12 papers receiving 903 citations

Author Peers

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

Author Last Decade Papers Cites
Jaydeep K. Srimani 385 376 277 237 170 12 909
Alejandro Couce 389 1.0× 371 1.0× 401 1.4× 191 0.8× 111 0.7× 23 978
Andreas Porse 528 1.4× 444 1.2× 248 0.9× 253 1.1× 199 1.2× 14 996
Orsolya Méhi 329 0.9× 279 0.7× 331 1.2× 90 0.4× 102 0.6× 10 699
Hansi Kumari 655 1.7× 327 0.9× 240 0.9× 165 0.7× 193 1.1× 22 1.1k
Etthel M. Windels 392 1.0× 369 1.0× 347 1.3× 86 0.4× 100 0.6× 13 845
Joran Michiels 517 1.3× 476 1.3× 487 1.8× 90 0.4× 156 0.9× 9 1.0k
Mónika Hrtyan 448 1.2× 227 0.6× 308 1.1× 77 0.3× 64 0.4× 10 960
Laura Martínez‐Solano 451 1.2× 429 1.1× 181 0.7× 253 1.1× 132 0.8× 8 1.0k
Klaus Harms 492 1.3× 370 1.0× 232 0.8× 188 0.8× 244 1.4× 28 954
Siobhán O’Brien 539 1.4× 244 0.6× 195 0.7× 40 0.2× 201 1.2× 22 889

Countries citing papers authored by Jaydeep K. Srimani

Since Specialization
Citations

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

Fields of papers citing papers by Jaydeep K. Srimani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaydeep K. Srimani. 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 Jaydeep K. Srimani. The network helps show where Jaydeep K. Srimani may publish in the future.

Co-authorship network of co-authors of Jaydeep K. Srimani

This figure shows the co-authorship network connecting the top 25 collaborators of Jaydeep K. Srimani. A scholar is included among the top collaborators of Jaydeep K. Srimani 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 Jaydeep K. Srimani. Jaydeep K. Srimani 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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