Ramesh S. Kashi

9 total papers · 644 total citations
9 papers, 489 citations indexed

About

Ramesh S. Kashi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Ramesh S. Kashi has authored 9 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Hematology. Recurrent topics in Ramesh S. Kashi's work include Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Hemophilia Treatment and Research (4 papers). Ramesh S. Kashi is often cited by papers focused on Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Hemophilia Treatment and Research (4 papers). Ramesh S. Kashi collaborates with scholars based in United States, Germany and Japan. Ramesh S. Kashi's co-authors include C. Russell Middaugh, Mark A. McCoy, Xiaoyu Yang, Giovanna Scapin, Paul Reichert, Corey Strickland, W.W. Prosise, Jennifer M. Johnston, Lina Hu and Mary E. Krause and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Nature Structural & Molecular Biology.

In The Last Decade

Ramesh S. Kashi

9 papers receiving 466 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 S. Kashi 286 227 104 102 69 9 489
Stephen W. Raso 280 1.0× 130 0.6× 74 0.7× 37 0.4× 20 0.3× 10 417
Diane L. Hevehan 339 1.2× 62 0.3× 66 0.6× 73 0.7× 54 0.8× 6 463
Jainik Panchal 381 1.3× 240 1.1× 107 1.0× 43 0.4× 10 0.1× 8 541
Thomas Schreitmüller 285 1.0× 125 0.6× 111 1.1× 116 1.1× 24 0.3× 13 533
Miranda M. C. van Beers 378 1.3× 277 1.2× 176 1.7× 37 0.4× 14 0.2× 12 529
Uli Binder 343 1.2× 189 0.8× 123 1.2× 92 0.9× 14 0.2× 12 549
Jyothsna Visweswaraiah 303 1.1× 200 0.9× 94 0.9× 86 0.8× 12 0.2× 13 456
Kazuo Nagase 369 1.3× 201 0.9× 51 0.5× 37 0.4× 14 0.2× 8 498
Ellen C. Havenaar 357 1.2× 106 0.5× 181 1.7× 37 0.4× 19 0.3× 11 528
Daniel G. Mackensen 279 1.0× 295 1.3× 74 0.7× 141 1.4× 11 0.2× 9 494

Countries citing papers authored by Ramesh S. Kashi

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh S. Kashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh S. Kashi

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