Suhasni Gopalakrishnan

18 total papers · 829 total citations
9 papers, 608 citations indexed

About

Suhasni Gopalakrishnan is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Suhasni Gopalakrishnan has authored 9 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Suhasni Gopalakrishnan's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Suhasni Gopalakrishnan is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Suhasni Gopalakrishnan collaborates with scholars based in United States, Italy and Hungary. Suhasni Gopalakrishnan's co-authors include Keith D. Robertson, Beth O. Van Emburgh, Stefania Trazzi, Giuliano Della Valle, Beth A. Sullivan, Justin K. Ichida, Philip H. Schwartz, C. Robert Fields, Johannes Vieweg and Naohiro Terada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Brain Research.

In The Last Decade

Suhasni Gopalakrishnan

9 papers receiving 599 citations

Author Peers

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

Author Last Decade Papers Cites
Suhasni Gopalakrishnan 462 106 72 64 53 9 608
Yoko Narumi 429 0.9× 143 1.3× 26 0.4× 101 1.6× 23 0.4× 14 519
Vladimir Wolf 500 1.1× 82 0.8× 49 0.7× 53 0.8× 29 0.5× 12 659
Claas Wodarczyk 353 0.8× 301 2.8× 27 0.4× 26 0.4× 28 0.5× 9 565
Michael Gyda 387 0.8× 127 1.2× 65 0.9× 54 0.8× 12 0.2× 12 564
Laina Freyer 324 0.7× 87 0.8× 47 0.7× 78 1.2× 13 0.2× 15 516
Antoine Forget 479 1.0× 101 1.0× 74 1.0× 44 0.7× 22 0.4× 15 643
Saeed Al Turki 280 0.6× 276 2.6× 121 1.7× 12 0.2× 39 0.7× 13 520
John R. Timmer 513 1.1× 186 1.8× 29 0.4× 44 0.7× 10 0.2× 9 643
Jue Feng 311 0.7× 58 0.5× 73 1.0× 250 3.9× 15 0.3× 14 674
Brigitte L. Arduini 405 0.9× 73 0.7× 85 1.2× 25 0.4× 51 1.0× 15 648

Countries citing papers authored by Suhasni Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Suhasni Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhasni Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Suhasni Gopalakrishnan. A scholar is included among the top collaborators of Suhasni Gopalakrishnan 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 Suhasni Gopalakrishnan. Suhasni Gopalakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026