Ramesh Subrahmanyam

16 total papers · 1.1k total citations
13 papers, 914 citations indexed

About

Ramesh Subrahmanyam is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Ramesh Subrahmanyam has authored 13 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 3 papers in Hematology. Recurrent topics in Ramesh Subrahmanyam's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Genomics and Chromatin Dynamics (3 papers). Ramesh Subrahmanyam is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Genomics and Chromatin Dynamics (3 papers). Ramesh Subrahmanyam collaborates with scholars based in United States and Austria. Ramesh Subrahmanyam's co-authors include Ranjan Sen, Ruibao Ren, Tirtha Chakraborty, Chaitali Parikh, Stephen Desiderio, Yun Liu, Ирина Иванова, Xiaowu Zhang, Alec W. Gross and Subramanya Srikantan and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Immunity.

In The Last Decade

Ramesh Subrahmanyam

13 papers receiving 900 citations

Author Peers

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

Author Last Decade Papers Cites
Ramesh Subrahmanyam 601 332 207 157 104 13 914
Michael Lutteropp 446 0.7× 348 1.0× 106 0.5× 302 1.9× 118 1.1× 12 914
Charlotte Rorsman 669 1.1× 207 0.6× 126 0.6× 188 1.2× 182 1.8× 15 1.1k
Yuzuru Kanakura 354 0.6× 391 1.2× 87 0.4× 203 1.3× 172 1.7× 17 834
Evelyn N. Garrett 461 0.8× 205 0.6× 146 0.7× 76 0.5× 142 1.4× 11 927
Tracee S. Panetti 559 0.9× 117 0.4× 187 0.9× 170 1.1× 94 0.9× 18 930
N Kabrun 776 1.3× 321 1.0× 305 1.5× 155 1.0× 139 1.3× 10 1.1k
Matt Teater 700 1.2× 393 1.2× 147 0.7× 120 0.8× 264 2.5× 19 1.1k
Vadym Zaberezhnyy 699 1.2× 158 0.5× 330 1.6× 351 2.2× 213 2.0× 25 1.1k
Nicola Hawe 641 1.1× 511 1.5× 130 0.6× 137 0.9× 280 2.7× 8 1.2k
Julie L. Rinkenberger 577 1.0× 365 1.1× 215 1.0× 117 0.7× 186 1.8× 11 1.1k

Countries citing papers authored by Ramesh Subrahmanyam

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Subrahmanyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Subrahmanyam

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