Aparna Raval

67 total papers · 2.0k total citations
37 papers, 1.0k citations indexed

About

Aparna Raval is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Aparna Raval has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Genetics. Recurrent topics in Aparna Raval's work include Chronic Lymphocytic Leukemia Research (9 papers), Epigenetics and DNA Methylation (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Aparna Raval is often cited by papers focused on Chronic Lymphocytic Leukemia Research (9 papers), Epigenetics and DNA Methylation (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Aparna Raval collaborates with scholars based in United States, Switzerland and India. Aparna Raval's co-authors include Christoph Plass, Dinah S. Singer, Jocelyn D. Weissman, Laura Z. Rassenti, John C. Byrd, T. Kevin Howcroft, Beverly S. Mitchell, Shih-Shih Chen, Sandya Liyanarachchi and John C. Byrd and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Blood.

In The Last Decade

Aparna Raval

37 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Aparna Raval 677 250 223 189 148 37 1.0k
Charis E. Teh 425 0.6× 401 1.6× 230 1.0× 189 1.0× 161 1.1× 34 936
Anagh A. Sahasrabuddhe 520 0.8× 222 0.9× 137 0.6× 216 1.1× 258 1.7× 23 921
Albert G. Tsai 629 0.9× 362 1.4× 151 0.7× 162 0.9× 112 0.8× 26 1.1k
Renée Beekman 580 0.9× 255 1.0× 328 1.5× 155 0.8× 225 1.5× 20 1.1k
Satyen H. Gohil 538 0.8× 276 1.1× 191 0.9× 335 1.8× 88 0.6× 30 949
Boris Tichý 517 0.8× 194 0.8× 434 1.9× 221 1.2× 265 1.8× 44 1.0k
Šárka Pavlová 442 0.7× 175 0.7× 341 1.5× 258 1.4× 190 1.3× 42 851
Erich Piovan 373 0.6× 324 1.3× 120 0.5× 305 1.6× 148 1.0× 33 908
Tarek Shalaby 831 1.2× 175 0.7× 217 1.0× 177 0.9× 90 0.6× 33 1.2k
Samuli Eldfors 403 0.6× 254 1.0× 251 1.1× 239 1.3× 272 1.8× 40 1.0k

Countries citing papers authored by Aparna Raval

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Raval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Raval

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