Sumit Agarwal

1.5k citations
38 papers · 1.1k · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Biochemical and Molecular Research
    • Heat shock proteins research
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • RNA modifications and cancer 5
    • Ubiquitin and proteasome pathways 5
    • Epigenetics and DNA Methylation 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Heat shock proteins research 2
    • Biochemical and Molecular Research 2
    • Peptidase Inhibition and Analysis 3

Sumit Agarwal

38 papers receiving 1.0k citations

Peers

Sumit Agarwal
Comparison fields: 5 of 77
  • Cancer Research 225
  • Molecular Biology 664
  • Oncology 228
  • Immunology 142
  • Physiology 29
Replace Maria E. Balasis with:
Maria E. Balasis United States
Christa Cerni Austria
Nianxiang Zhang United States
Sandrine Pierson Luxembourg
Yunping Lu China
Nirmala Jagadish India
Zhenghu Chen United States
Elizabeth L. Christie Australia
Lin Tai Australia
Sophie Couvé France
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Citations per field
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Maria E. Balasis · 1×
Citations per year

Countries citing papers authored by Sumit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201657
3 201752
4 201650
5 201847
6 201944
7 201844
8 202042
9 201640
10 201239
11 201339
12 202039
13 201337
14 202036
15 202235
16 201534
17 201333
18 201926
19 200623
20 202022

About Sumit Agarwal

Sumit Agarwal is a scholar working on Molecular Biology, Oncology, Immunology, Rheumatology and Cancer Research, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Immunotherapy and Immune Responses (4 papers), Peptidase Inhibition and Analysis (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Heat shock proteins research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Cancer Research (225 citations), Molecular Biology (664 citations), Oncology (228 citations), Immunology (142 citations) and Physiology (29 citations). Sumit Agarwal has collaborated with scholars based in United States, India and France. Frequent co-authors include Sooryanarayana Varambally, Anil Kumar Suri, Nirmala Jagadish, Darshan Shimoga Chandrashekar, Upender Manne, Deepak Parashar, Balabhadrapatruni V. S. K. Chakravarthi, Nirmal Kumar Lohiya, Michael P. Behring and Namita Gupta. Their work appears in journals such as Translational Oncology, OncoImmunology, Journal of Experimental & Clinical Cancer Research, Molecular Oncology and Neoplasia.

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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