Pushkala Jayaraman

48 total papers · 609 total citations
21 papers, 315 citations indexed

About

Pushkala Jayaraman is a scholar working on Molecular Biology, Epidemiology and Nephrology. According to data from OpenAlex, Pushkala Jayaraman has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Nephrology. Recurrent topics in Pushkala Jayaraman's work include Genomics and Phylogenetic Studies (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pushkala Jayaraman is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pushkala Jayaraman collaborates with scholars based in United States, India and France. Pushkala Jayaraman's co-authors include Jon Whittle, Mary Shimoyama, Melinda R. Dwinell, Marek Tutaj, G. Thomas Hayman, Victoria Petri, Jeff De Pons, Stanley J. F. Laulederkind, Diane H. Munzenmaier and Elizabeth A. Worthey and has published in prestigious journals such as Annals of Internal Medicine, Bioinformatics and Genome Research.

In The Last Decade

Pushkala Jayaraman

19 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Pushkala Jayaraman	154	56	47	31	24	21	315
R. A. Leo Elworth	221 1.4×	39 0.7×	38 0.8×	17 0.5×	35 1.5×	17	339
Advait Balaji	183 1.2×	40 0.7×	22 0.5×	9 0.3×	17 0.7×	14	301
Mona Riemenschneider	147 1.0×	37 0.7×	20 0.4×	41 1.3×	5 0.2×	17	341
Geoffrey Siwo	91 0.6×	16 0.3×	19 0.4×	21 0.7×	15 0.6×	22	235
Hongguang Fu	137 0.9×	64 1.1×	18 0.4×	10 0.3×	11 0.5×	27	316
J. Harry Caufield	216 1.4×	69 1.2×	35 0.7×	23 0.7×	38 1.6×	30	347
Makoto Hirosawa	238 1.5×	45 0.8×	29 0.6×	9 0.3×	13 0.5×	12	333
Ayesha Saeed	119 0.8×	14 0.3×	17 0.4×	15 0.5×	8 0.3×	27	334
Olufemi Aromolaran	168 1.1×	65 1.2×	16 0.3×	8 0.3×	9 0.4×	14	324
Neelima Arora	134 0.9×	21 0.4×	12 0.3×	7 0.2×	9 0.4×	31	282

Countries citing papers authored by Pushkala Jayaraman

Since Specialization

Citations

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

Fields of papers citing papers by Pushkala Jayaraman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushkala Jayaraman

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