Jeyanthy Eswaran

3.2k citations
42 papers · 2.6k · h-index 27

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • Ubiquitin and proteasome pathways 3
    • Cancer-related Molecular Pathways 6

Jeyanthy Eswaran

42 papers receiving 2.5k citations

Peers

Jeyanthy Eswaran
Comparison fields: 5 of 109
  • Molecular Medicine 435
  • Endocrinology 266
  • Molecular Biology 1.5k
  • Oncology 498
  • Genetics 485
Replace Deo Prakash Pandey with:
Deo Prakash Pandey Switzerland
Barbara Lipińska Poland
Ryu Imamura Japan
Iwona J. Fijałkowska Poland
Moritz von Rechenberg Germany
Yves Vandenbrouck France
Lingyun Li China
Maria Hernandez-Valladares Norway
Richard A. Williamson United Kingdom
Gerhard May United Kingdom
Jeyanthy Eswaran relative to Deo Prakash Pandey Switzerland Deo Prakash Pandey's profile →
Citations per field
00.5×3.1×
Deo Prakash Pandey · 1×
Citations per year

Countries citing papers authored by Jeyanthy Eswaran

Since Specialization
Citations

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

Fields of papers citing papers by Jeyanthy Eswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeyanthy Eswaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeyanthy Eswaran Line = papers co-authored together Jeyanthy Eswaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004300
2 2004177
3 2009155
4 2009136
5 2013135
6 2002133
7 2004129
8 2013128
9 2012113
10 2008102
11 200798
12 201298
13 201275
14 201267
15 200967
16 200364
17 200652
18 200351
19 201648
20 202046

About Jeyanthy Eswaran

Jeyanthy Eswaran is a scholar working on Molecular Biology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Cancer-related Molecular Pathways (6 papers), Antibiotic Resistance in Bacteria (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Enzyme Structure and Function (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Medicine (435 citations), Endocrinology (266 citations), Molecular Biology (1.5k citations), Oncology (498 citations) and Genetics (485 citations). Jeyanthy Eswaran has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Vassilis Koronakis, Colin Hughes, Stefan Knapp, Rakesh Kumar, Eva Koronakis, M. Soundararajan, Da‐Qiang Li, Sujit S. Nair, Evert Bokma and Thierry Touzé. Their work appears in journals such as Structure, Blood, International Journal of Molecular Sciences, Proceedings of the National Academy of Sciences and Molecular Microbiology.

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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