Sushant Kumar

5.2k citations
29 papers · 1.7k · h-index 16

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA Interference and Gene Delivery 3
    • Epigenetics and DNA Methylation 3
    • Immune Cell Function and Interaction 3

Sushant Kumar

26 papers receiving 1.7k citations

Peers

Sushant Kumar
Comparison fields: 5 of 88
  • Oncology 568
  • Molecular Biology 1.3k
  • Cancer Research 242
  • Immunology 306
  • Cell Biology 229
Replace Xiaohong Leng with:
Xiaohong Leng United States
Cinzia Rinaldo Italy
Fumihiko Okumura Japan
Christophe Quéva United States
Markus E. Diefenbacher Germany
Joseph M. Amann United States
Larisa Litovchick United States
Matthew V. Lorenzi United States
Bastiaan Evers Netherlands
Marie‐Luce Vignais France
Sushant Kumar relative to Xiaohong Leng United States Xiaohong Leng's profile →
Citations per field
00.5×1.5×
Xiaohong Leng · 1×
Citations per year

Countries citing papers authored by Sushant Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998364
2 2000306
3 1999174
4 1992149
5 1999145
6 1999139
7 1997127
8 202464
9 199249
10 202023
11 201723
12
Two novel functions associated with the Rel oncoproteins: DNA replication and cell-specific transcriptional activation.
199323
13 202222
14 199322
15 201917
16 202317
17 202111
18 201911
19 202110
20 201910

About Sushant Kumar

Sushant Kumar is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Dermatology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers), Cellular Mechanics and Interactions (3 papers), Epigenetics and DNA Methylation (3 papers), CAR-T cell therapy research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Oncology (568 citations), Molecular Biology (1.3k citations), Cancer Research (242 citations), Immunology (306 citations) and Cell Biology (229 citations). Sushant Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Peter M. Howley, Céline Gélinas, Hideaki Oda, Arnold B. Rabson, Marco Perez, David M. Livingston, Claire Mansur, M. P. Joseph, Steven R. Grossman and Zhi-Xiong Jim Xiao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Journal of Investigative Dermatology, Molecular and Cellular Biology and Journal of Biological Chemistry.

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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