Ramesh Kumar

1.5k citations
35 papers · 1.1k · h-index 18

Impact in

  • Cell Biology top 10%
    • Hemoglobin structure and function
    • Hippo pathway signaling and YAP/TAZ
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery

Papers in

    • DNA Repair Mechanisms 7
    • Ubiquitin and proteasome pathways 5
    • Protein purification and stability 4
    • CRISPR and Genetic Engineering 3
    • Hemoglobin structure and function 6

Ramesh Kumar

31 papers receiving 1.1k citations

Peers

Ramesh Kumar
Comparison fields: 5 of 81
  • Cell Biology 211
  • Molecular Biology 823
  • Oncology 241
  • Cancer Research 100
  • Genetics 137
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Kathrine B. Sylvestersen Denmark
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Hsueh-Chi S. Yen Taiwan
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Citations per field
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Chad J. Miller · 1×
Citations per year

Countries citing papers authored by Ramesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramesh Kumar, 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 Ramesh Kumar Line = papers co-authored together Ramesh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000105
2 201296
3 201784
4 201577
5 201672
6 202369
7 201959
8 201057
9 201951
10 199447
11 202140
12 199437
13 201931
14 201430
15 201322
16 199421
17 201719
18 202417
19 202017
20 199516

About Ramesh Kumar

Ramesh Kumar is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Cancer Research, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Hemoglobin structure and function (6 papers), Ubiquitin and proteasome pathways (5 papers), Protein purification and stability (4 papers), Cancer-related Molecular Pathways (4 papers), CRISPR and Genetic Engineering (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Venomous Animal Envenomation and Studies (3 papers). The work is most often cited by research in Cell Biology (211 citations), Molecular Biology (823 citations), Oncology (241 citations), Cancer Research (100 citations) and Genetics (137 citations). Ramesh Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Alfred C.O. Vertegaal, Román González‐Prieto, Anurag S. Rathore, Chit Fang Cheok, Wanjin Hong, Ivo A. Hendriks, Richard Metz, Eric B. Kmiec, Howard Gamper and Allyson Cole-Strauss. Their work appears in journals such as Electrophoresis, PLoS Genetics, Journal of Molecular Biology, Scientific Reports and International Journal of Biological Macromolecules.

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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