Rahul Kumar

6.3k total citations · 1 hit paper
60 papers, 3.8k citations indexed

About

Rahul Kumar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Rahul Kumar has authored 60 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Rahul Kumar's work include Cancer Genomics and Diagnostics (11 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Bioinformatics (7 papers). Rahul Kumar is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Computational Drug Discovery Methods (9 papers) and Machine Learning in Bioinformatics (7 papers). Rahul Kumar collaborates with scholars based in India, United States and Switzerland. Rahul Kumar's co-authors include Gajendra P. S. Raghava, Kumardeep Chaudhary, Pallavi Kapoor, Ankur Gautam, Sudheer Gupta, Atul Tyagi, Harinder Singh, Arun Sharma, Jagat Chauhan and Minakshi Sharma and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Rahul Kumar

57 papers receiving 3.8k citations

Hit Papers

In Silico Approach for Predicting Toxicity of Peptides an... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Kumar India 26 3.0k 678 539 463 449 60 3.8k
Matthew J. Bottomley Italy 24 2.3k 0.8× 442 0.7× 715 1.3× 384 0.8× 367 0.8× 53 3.8k
Pallavi Kapoor India 10 2.4k 0.8× 613 0.9× 358 0.7× 139 0.3× 417 0.9× 12 2.6k
Sandeep Singh India 23 2.6k 0.9× 861 1.3× 262 0.5× 146 0.3× 225 0.5× 49 3.0k
Grzegorz Dubin Poland 33 1.9k 0.6× 259 0.4× 972 1.8× 1.8k 3.9× 383 0.9× 120 4.3k
Kathryn A. Porter United States 9 2.3k 0.8× 121 0.2× 471 0.9× 231 0.5× 479 1.1× 12 3.1k
Christine Yueh United States 8 2.2k 0.7× 106 0.2× 449 0.8× 212 0.5× 472 1.1× 9 2.9k
Sandeep Kumar Dhanda United States 22 3.3k 1.1× 316 0.5× 1.4k 2.6× 290 0.6× 1.1k 2.5× 54 4.1k
Paolo Marcatili Denmark 31 4.0k 1.3× 173 0.3× 1.8k 3.3× 615 1.3× 1.6k 3.7× 78 5.3k
C. Erec Stebbins United States 30 3.1k 1.0× 115 0.2× 713 1.3× 354 0.8× 79 0.2× 59 5.1k
Marzena Pazgier United States 34 2.1k 0.7× 1.3k 2.0× 1.2k 2.2× 462 1.0× 570 1.3× 103 3.9k

Countries citing papers authored by Rahul Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Kumar

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

All Works

20 of 20 papers shown
1.
Famta, Paras, Saurabh Shah, Ganesh Vambhurkar, et al.. (2025). Navigating the brain: Harnessing endogenous cellular hitchhiking for targeting neoplastic and neuroinflammatory diseases. Asian Journal of Pharmaceutical Sciences. 20(2). 101040–101040. 5 indexed citations
2.
Kumar, Rahul, et al.. (2024). Exploring the Potential of Curry Leaves for their Therapeutic Action. SHILAP Revista de lepidopterología. 86. 1037–1037.
3.
Scuoppo, Claudio, Cai Bowen, Kenneth Ofori, et al.. (2024). Repurposing NAMPT Inhibitors for Germinal Center B Cell–Like Diffuse Large B-Cell Lymphoma. Blood Cancer Discovery. 5(6). 417–427.
4.
Kumar, Ambuj, et al.. (2024). AMLdb: a comprehensive multi-omics platform to identify biomarkers and drug targets for acute myeloid leukemia. Briefings in Functional Genomics. 23(6). 798–805. 1 indexed citations
5.
Kumar, Rahul, Dibyabhaba Pradhan, Rashmi Rana, et al.. (2024). Genomic landscape of gallbladder cancer: insights from whole exome sequencing. International Journal of Surgery. 110(11). 6883–6897. 1 indexed citations
6.
Kumar, Rahul, et al.. (2024). Knowledge, attitude, and practices about breast cancer among women in a high-altitude sub-Himalayan region: Are we reaching the unreached?. SHILAP Revista de lepidopterología. 13(2). 743–747. 1 indexed citations
8.
Kumar, Ambuj, et al.. (2024). MyeloDB: a multi-omics resource for multiple myeloma. Functional & Integrative Genomics. 24(1). 17–17. 3 indexed citations
9.
Vaubel, Rachael A., Rahul Kumar, Taylor M. Weiskittel, et al.. (2023). Genomic markers of recurrence risk in atypical meningioma following gross total resection. Neuro-Oncology Advances. 5(1). vdad004–vdad004. 15 indexed citations
10.
Bal, Élodie, Rahul Kumar, Mohammad Hadigol, et al.. (2022). Super-enhancer hypermutation alters oncogene expression in B cell lymphoma. Nature. 607(7920). 808–815. 74 indexed citations
11.
Fangazio, Marco, Erik Ladewig, Laura Garcia‐Ibanez, et al.. (2021). Genetic mechanisms of HLA-I loss and immune escape in diffuse large B cell lymphoma. Proceedings of the National Academy of Sciences. 118(22). 53 indexed citations
12.
Huo, Yanying, Pier Selenica, Amar Mahdi, et al.. (2021). Genetic interactions among Brca1, Brca2, Palb2, and Trp53 in mammary tumor development. npj Breast Cancer. 7(1). 45–45. 8 indexed citations
13.
Gupta, Sudheer, Kumardeep Chaudhary, Rahul Kumar, et al.. (2016). Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine. Scientific Reports. 6(1). 23857–23857. 46 indexed citations
14.
Gautam, Ankur, Kumardeep Chaudhary, Rahul Kumar, & Gajendra P. S. Raghava. (2015). Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides. Methods in molecular biology. 1324. 59–69. 67 indexed citations
15.
Gupta, Sudheer, Pallavi Kapoor, Kumardeep Chaudhary, et al.. (2014). Peptide Toxicity Prediction. Methods in molecular biology. 1268. 143–157. 172 indexed citations
16.
Gautam, Ankur, Kumardeep Chaudhary, Rahul Kumar, et al.. (2013). In silico approaches for designing highly effective cell penetrating peptides. Journal of Translational Medicine. 11(1). 74–74. 248 indexed citations
17.
Kumar, Rahul, Kumardeep Chaudhary, Sudheer Gupta, et al.. (2013). CancerDR: Cancer Drug Resistance Database. Scientific Reports. 3(1). 1445–1445. 94 indexed citations
18.
Tyagi, Atul, Pallavi Kapoor, Rahul Kumar, et al.. (2013). In Silico Models for Designing and Discovering Novel Anticancer Peptides. Scientific Reports. 3(1). 2984–2984. 258 indexed citations
19.
Kapoor, Pallavi, Harinder Singh, Ankur Gautam, et al.. (2012). TumorHoPe: A Database of Tumor Homing Peptides. PLoS ONE. 7(4). e35187–e35187. 114 indexed citations
20.
Gautam, Arvind, Harinder Singh, Atul Tyagi, et al.. (2012). CPPsite: a curated database of cell penetrating peptides. Database. 2012(0). bas015–bas015. 165 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026