Subramanian Krishnan

27 total papers · 777 total citations
24 papers, 471 citations indexed

About

Subramanian Krishnan is a scholar working on Molecular Biology, Endocrinology and Microbiology. According to data from OpenAlex, Subramanian Krishnan has authored 24 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Endocrinology and 7 papers in Microbiology. Recurrent topics in Subramanian Krishnan's work include Escherichia coli research studies (10 papers), Bacterial Infections and Vaccines (7 papers) and Immune Response and Inflammation (4 papers). Subramanian Krishnan is often cited by papers focused on Escherichia coli research studies (10 papers), Bacterial Infections and Vaccines (7 papers) and Immune Response and Inflammation (4 papers). Subramanian Krishnan collaborates with scholars based in United States, India and United Kingdom. Subramanian Krishnan's co-authors include Nemani V. Prasadarao, Rama Shanker Verma, Mark W. Reid, Rahul Mittal, Ignacio González-Gómez, Jennifer K. Raymond, Alexander Chang, Georgeanna J. Klingensmith, Cari Berget and John F. Thomas and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Subramanian Krishnan

24 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Subramanian Krishnan 160 125 73 72 67 24 471
Janice Matthews-Greer 135 0.8× 50 0.4× 102 1.4× 55 0.8× 67 1.0× 15 468
Meng Xun 169 1.1× 49 0.4× 32 0.4× 31 0.4× 81 1.2× 38 510
Shivani Agarwal 192 1.2× 140 1.1× 25 0.3× 114 1.6× 90 1.3× 23 482
Christopher Whitfield 146 0.9× 94 0.8× 34 0.5× 109 1.5× 42 0.6× 28 424
Tad Eichler 171 1.1× 55 0.4× 114 1.6× 33 0.5× 69 1.0× 17 518
Gabriella Cipollaro de l'Ero 144 0.9× 53 0.4× 70 1.0× 34 0.5× 177 2.6× 14 471
Kathrin Schlatterer 141 0.9× 41 0.3× 34 0.5× 37 0.5× 76 1.1× 27 442
Ahmad Nasser 128 0.8× 36 0.3× 67 0.9× 13 0.2× 35 0.5× 24 443
Emma Caraher 157 1.0× 53 0.4× 26 0.4× 38 0.5× 76 1.1× 20 419
Zehui Yu 171 1.1× 61 0.5× 35 0.5× 33 0.5× 151 2.3× 39 421

Countries citing papers authored by Subramanian Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Subramanian Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramanian Krishnan

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