Suhas Srinivasan

31 total papers · 596 total citations
8 papers, 208 citations indexed

About

Suhas Srinivasan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Suhas Srinivasan has authored 8 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Clinical Psychology. Recurrent topics in Suhas Srinivasan's work include Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA Research and Splicing (2 papers). Suhas Srinivasan is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA Research and Splicing (2 papers). Suhas Srinivasan collaborates with scholars based in United States. Suhas Srinivasan's co-authors include Dmitry Korkin, Hongzhu Cui, Oleksandr Narykov, Ziyang Gao, Ming Liu, Senbao Lu, Nathan Johnson, Douglas F. Porter, Shiying Tao and Robin M. Meyers and has published in prestigious journals such as Nature, Nature Methods and Cell Reports.

In The Last Decade

Suhas Srinivasan

7 papers receiving 205 citations

Author Peers

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

Author Last Decade Papers Cites
Suhas Srinivasan 138 85 38 24 14 8 208
Ruiying Han 144 1.0× 92 1.1× 21 0.6× 25 1.0× 18 1.3× 10 271
Weizhu Yan 143 1.0× 124 1.5× 49 1.3× 31 1.3× 8 0.6× 8 244
Serap Beldar 93 0.7× 73 0.9× 30 0.8× 25 1.0× 8 0.6× 7 188
Jorge da Rocha 104 0.8× 76 0.9× 37 1.0× 16 0.7× 12 0.9× 10 233
Stacy Gellenoncourt 157 1.1× 87 1.0× 17 0.4× 37 1.5× 10 0.7× 6 228
Rimanshee Arya 183 1.3× 96 1.1× 58 1.5× 30 1.3× 14 1.0× 5 252
Line A. Ryberg 178 1.3× 103 1.2× 67 1.8× 14 0.6× 14 1.0× 10 283
Almagul Seitova 104 0.8× 59 0.7× 39 1.0× 28 1.2× 9 0.6× 8 195
Alekxander Binderup 147 1.1× 44 0.5× 60 1.6× 11 0.5× 9 0.6× 7 173
Francesco Costacurta 152 1.1× 61 0.7× 81 2.1× 15 0.6× 9 0.6× 8 196

Countries citing papers authored by Suhas Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Suhas Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhas Srinivasan

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