Rama P. Cherla

28 total papers · 1.4k total citations
26 papers, 1.1k citations indexed

About

Rama P. Cherla is a scholar working on Endocrinology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Rama P. Cherla has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, 10 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Rama P. Cherla's work include Escherichia coli research studies (11 papers), Viral gastroenteritis research and epidemiology (9 papers) and Cell death mechanisms and regulation (7 papers). Rama P. Cherla is often cited by papers focused on Escherichia coli research studies (11 papers), Viral gastroenteritis research and epidemiology (9 papers) and Cell death mechanisms and regulation (7 papers). Rama P. Cherla collaborates with scholars based in United States. Rama P. Cherla's co-authors include Vernon L. Tesh, Ramesh K. Ganju, Sang-Yun Lee, Moo‐Seung Lee, Aaron Z. Fernandis, Dinorah Leyva‐Illades, Rebecca D. Chernock, In-Woo Park, Neru Munshi and Yan Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Rama P. Cherla

26 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Rama P. Cherla 424 378 351 314 171 26 1.1k
Sang-Yun Lee 440 1.0× 212 0.6× 348 1.0× 160 0.5× 117 0.7× 21 914
Cheryl G. Pfeifer 274 0.6× 395 1.0× 375 1.1× 158 0.5× 98 0.6× 30 1.3k
Domenica Carnicelli 462 1.1× 361 1.0× 441 1.3× 248 0.8× 42 0.2× 48 1.1k
Thomas Falguières 251 0.6× 246 0.7× 702 2.0× 134 0.4× 270 1.6× 37 1.4k
Pedro Escoll 591 1.4× 456 1.2× 697 2.0× 108 0.3× 73 0.4× 33 1.5k
Beatriz Álvarez 344 0.8× 186 0.5× 880 2.5× 93 0.3× 112 0.7× 34 1.3k
Vincenzo Torraca 609 1.4× 162 0.4× 402 1.1× 134 0.4× 87 0.5× 35 1.3k
Melanie A. Sherman 683 1.6× 246 0.7× 489 1.4× 173 0.6× 165 1.0× 28 1.4k
Heinz Hoschützky 258 0.6× 407 1.1× 537 1.5× 90 0.3× 90 0.5× 24 1.2k
Irena Adkins 372 0.9× 170 0.4× 380 1.1× 80 0.3× 171 1.0× 32 1.1k

Countries citing papers authored by Rama P. Cherla

Since Specialization
Citations

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

Fields of papers citing papers by Rama P. Cherla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rama P. Cherla. 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 Rama P. Cherla. The network helps show where Rama P. Cherla may publish in the future.

Co-authorship network of co-authors of Rama P. Cherla

This figure shows the co-authorship network connecting the top 25 collaborators of Rama P. Cherla. A scholar is included among the top collaborators of Rama P. Cherla 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 Rama P. Cherla. Rama P. Cherla 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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