Sushant Kumar

9.7k total citations
17 papers, 255 citations indexed

About

Sushant Kumar is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sushant Kumar has authored 17 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Sushant Kumar's work include Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Click Chemistry and Applications (2 papers). Sushant Kumar is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Click Chemistry and Applications (2 papers). Sushant Kumar collaborates with scholars based in United States, Canada and India. Sushant Kumar's co-authors include Mark Gerstein, Declan Clarke, Arif Harmanci, Xiaotong Li, Matthew Meyerson, Patrick D. McGillivray, Yan Zhang, Lucas Lochovsky, Shaoke Lou and Calvin Wing Yiu Chan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sushant Kumar

11 papers receiving 255 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sushant Kumar United States 6 160 133 67 50 31 17 255
Eliseos J. Mucaki Canada 11 214 1.3× 84 0.6× 88 1.3× 62 1.2× 32 1.0× 16 343
Patrick D. McGillivray United States 7 212 1.3× 96 0.7× 46 0.7× 29 0.6× 9 0.3× 9 276
Fergus J. Couch United States 8 201 1.3× 118 0.9× 108 1.6× 105 2.1× 33 1.1× 10 348
Rick Kim United States 5 247 1.5× 146 1.1× 146 2.2× 45 0.9× 32 1.0× 6 346
Jihae Seo South Korea 8 179 1.1× 94 0.7× 37 0.6× 42 0.8× 15 0.5× 8 263
Chinnambally Venkataramu United States 6 303 1.9× 128 1.0× 72 1.1× 119 2.4× 35 1.1× 7 419
Aikaterini Chatzipli United Kingdom 5 149 0.9× 71 0.5× 39 0.6× 49 1.0× 8 0.3× 8 225
Grace O. Silva United States 7 275 1.7× 181 1.4× 36 0.5× 100 2.0× 18 0.6× 8 376
Christine Lo United States 5 424 2.6× 158 1.2× 89 1.3× 55 1.1× 23 0.7× 14 505
Hendrik Hache Germany 9 357 2.2× 48 0.4× 46 0.7× 70 1.4× 25 0.8× 9 409

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-authorship network of co-authors of Sushant Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sushant Kumar. A scholar is included among the top collaborators of Sushant Kumar 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 Sushant Kumar. Sushant Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Gerstein, Mark, et al.. (2025). DNA shape and epigenomics distinguish the mechanistic origin of human genomic structural variations. Nucleic Acids Research. 53(22).
2.
Kumar, Sushant & Mark Gerstein. (2025). Regulatory genome annotation. Nature Reviews Genetics. 26(10). 661–662.
3.
Masoudi‐Sobhanzadeh, Yosef, et al.. (2025). Building Nucleosome Positioning Maps: Discovering Hidden Gems. Wiley Interdisciplinary Reviews Computational Molecular Science. 15(3).
4.
Kumar, Sushant & Anita Singh. (2024). Physico-chemical, Spectrophotometric and cell-line Toxicity study of Isolated Biomaterial. Research Journal of Pharmacy and Technology. 1641–1646.
5.
Subudhi, Sumit K., Gerald S. Falchook, Mohamad A. Salkeni, et al.. (2023). 759 ADPORT-601 (TT-10–101): first-in-human study of adenosine 2A (A2A) and adenosine 2B (A2B) receptor antagonists in participants with selected advanced solid tumors. SHILAP Revista de lepidopterología. A855–A855.
6.
Kumar, Sushant & Mark Gerstein. (2023). Unified views on variant impact across many diseases. Trends in Genetics. 39(6). 442–450. 3 indexed citations
7.
Kumar, Sushant, et al.. (2023). Design and Implementation of IoT-Based Weather Monitoring System. Fusion Practice and Applications. 14(1). 28–39.
8.
Kumar, Sushant, et al.. (2022). An Update on Biomaterials as a Pharmaceutical Excipient in Drug Delivery Systems and its Pharmaceutical Applications. Acta Scientific Pharmaceutical Sciences. 2–8. 1 indexed citations
9.
Mookhtiar, Kasim A., et al.. (2022). Abstract 3454: Adenosine receptor antagonists A2AR (TT-10) and A2BR (TT-4) demonstrate anti-tumor activity in 4T1-induced syngeneic breast cancer mouse model. Cancer Research. 82(12_Supplement). 3454–3454. 5 indexed citations
10.
Li, Xiaotong, Sushant Kumar, Arif Harmanci, et al.. (2021). Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers. Genome Medicine. 13(1). 70–70. 14 indexed citations
11.
Kumar, Sushant, Jonathan Warrell, Patrick D. McGillivray, et al.. (2020). Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences. Cell. 180(5). 915–927.e16. 94 indexed citations
12.
Kumar, Sushant, et al.. (2020). SVFX: a machine learning framework to quantify the pathogenicity of structural variants. Genome biology. 21(1). 274–274. 22 indexed citations
13.
Kumar, Sushant, Declan Clarke, & Mark Gerstein. (2019). Leveraging protein dynamics to identify cancer mutational hotspots using 3D structures. Proceedings of the National Academy of Sciences. 116(38). 18962–18970. 27 indexed citations
14.
Shi, Weiwei, Charlotte K.Y. Ng, Raymond S. Lim, et al.. (2018). Reliability of Whole-Exome Sequencing for Assessing Intratumor Genetic Heterogeneity. Cell Reports. 25(6). 1446–1457. 59 indexed citations
15.
Kumar, Sushant, Patrick D. McGillivray, Matthew Meyerson, et al.. (2018). Abstract 1279: Passenger mutation landscape in cancer genomes. Cancer Research. 78(13_Supplement). 1279–1279. 2 indexed citations
16.
McGillivray, Patrick D., Declan Clarke, Matthew Meyerson, et al.. (2018). Network Analysis as a Grand Unifier in Biomedical Data Science. 1(1). 153–180. 25 indexed citations
17.
Inuzuka, Manabu, H Ishikawa, Sushant Kumar, Céline Gélinas, & Yuko Ito. (1994). The viral and cellular Rel oncoproteins induce the differentiation of P19 embryonal carcinoma cells.. PubMed. 9(1). 133–40. 3 indexed citations

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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