Suresh Kumar

3.5k total citations · 2 hit papers
90 papers, 1.9k citations indexed

About

Suresh Kumar is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Suresh Kumar has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 14 papers in Epidemiology and 12 papers in Computational Theory and Mathematics. Recurrent topics in Suresh Kumar's work include Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (8 papers) and Ubiquitin and proteasome pathways (7 papers). Suresh Kumar is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (8 papers) and Ubiquitin and proteasome pathways (7 papers). Suresh Kumar collaborates with scholars based in Malaysia, India and United States. Suresh Kumar's co-authors include Kalimuthu Karuppanan, Gunasekaran Subramaniam, Winkins Santosh, Shiek S. S. J. Ahmed, Lihu Zhang, Xiaowei Xu, Hongyan Wu, Michael R. Mattern, Jian Wu and Feng Wang and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Suresh Kumar

80 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Omicron and Delta variant of SARS‐CoV‐2: A comparative computational study of spike protein

2021 392 citations Suresh Kumar et al. profile →
Omicron (BA.1) and sub‐variants (BA.1.1, BA.2, and BA.3) of SARS‐CoV‐2 spike infectivity and pathogenicity: A comparative sequence and structural‐based computational assessment

2022 142 citations Suresh Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suresh Kumar Malaysia	24	877	542	303	201	177	90	1.9k
Timir Tripathi India	29	1.5k 1.7×	582 1.1×	131 0.4×	184 0.9×	172 1.0×	111	2.6k
Mohammad Azhar Kamal Saudi Arabia	22	586 0.7×	394 0.7×	152 0.5×	253 1.3×	223 1.3×	65	1.8k
Lisa M. Johansen United States	19	1.2k 1.4×	941 1.7×	293 1.0×	389 1.9×	384 2.2×	23	2.8k
Valentyn Oksenych Norway	21	1.4k 1.7×	310 0.6×	364 1.2×	200 1.0×	249 1.4×	108	2.1k
Xue Lei China	12	1.2k 1.4×	204 0.4×	194 0.6×	160 0.8×	237 1.3×	51	2.4k
Francesca Benedetti United States	20	656 0.7×	915 1.7×	97 0.3×	139 0.7×	179 1.0×	55	1.8k
Glenn E. Dale Switzerland	35	1.6k 1.8×	402 0.7×	403 1.3×	395 2.0×	140 0.8×	63	3.0k
Gururao Hariprasad India	16	682 0.8×	648 1.2×	180 0.6×	79 0.4×	139 0.8×	54	1.6k
Sara Colombo Italy	32	1.8k 2.0×	1.1k 2.0×	362 1.2×	379 1.9×	210 1.2×	75	4.0k
Audrey R. Odom John United States	29	1.7k 2.0×	784 1.4×	214 0.7×	668 3.3×	242 1.4×	81	3.5k

Countries citing papers authored by Suresh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Suresh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Kumar

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

All Works

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20 of 20 papers shown

Nassir, Che Mohd Nasril Che Mohd, et al.. (2025). AI and Machine Learning in Biology: From Genes to Proteins. Biology. 14(10). 1453–1453.

Kumar, Suresh, et al.. (2025). Identification of Common Hub Genes in COVID-19 and Comorbidities: Insights into Shared Molecular Pathways and Disease Severity. COVID. 5(7). 105–105.

Kumar, Suresh, et al.. (2024). Unravelling the connection between COVID-19 and Alzheimer’s disease: a comprehensive review. Frontiers in Aging Neuroscience. 15. 1274452–1274452. 5 indexed citations

Kumar, Suresh, et al.. (2023). Antibiotic resistance in Neisseria gonorrhoeae: broad-spectrum drug target identification using subtractive genomics. Genomics & Informatics. 21(1). e5–e5. 5 indexed citations

Melo, Luiza Martins Nascentes, et al.. (2022). Advancements in melanoma cancer metastasis models. Pigment Cell & Melanoma Research. 36(2). 206–223. 10 indexed citations

Kue, Chin Siang, et al.. (2021). Identification of potential candidate genes for lip and oral cavity cancer using network analysis. Genomics & Informatics. 19(1). e4–e4. 8 indexed citations

Abro, Asma, Rayyan Azam Khan, Asad Ur Rehman, et al.. (2021). Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2. Computers in Biology and Medicine. 141. 105049–105049. 29 indexed citations

Ghosh, Chandrayee, Suresh Kumar, Yevgeniya Kushchayeva, et al.. (2020). A Combinatorial Strategy for Targeting BRAF V600E-Mutant Cancers with BRAFV600E Inhibitor (PLX4720) and Tyrosine Kinase Inhibitor (Ponatinib). Clinical Cancer Research. 26(8). 2022–2036. 18 indexed citations

Kumar, Suresh & Meera Ramanujam. (2020). Computational prediction of novel broad-spectrum drug targets against Vibrio cholerae by integrated genomics and proteomics approach. Malaysian Journal of Medicine and Health Sciences. 16(2). 2 indexed citations

10.

Kumar, Suresh. (2018). A CASE OF CHORONIC IDIOPATHIC MYELOFIBROSIS. 4(1).

11.

Wang, Feng, Liqing Wang, Jian Wu, et al.. (2017). Active site-targeted covalent irreversible inhibitors of USP7 impair the functions of Foxp3+ T-regulatory cells by promoting ubiquitination of Tip60. PLoS ONE. 12(12). e0189744–e0189744. 42 indexed citations

12.

Wu, Jian, Suresh Kumar, Feng Wang, et al.. (2017). Chemical Approaches to Intervening in Ubiquitin Specific Protease 7 (USP7) Function for Oncology and Immune Oncology Therapies. Journal of Medicinal Chemistry. 61(2). 422–443. 38 indexed citations

13.

Kumar, Suresh. (2017). Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model. Genomics & Informatics. 15(4). 162–169. 11 indexed citations

14.

Kumar, Suresh. (2016). Computational functional and structural annotation of hypothetical proteins of Neisseria Meningitidis MC58. Biochemistry & Analytical Biochemistry. 1 indexed citations

15.

Kumar, Suresh, et al.. (2016). MULTIPLE REGRESSION ANALYSIS TO ESTIMATE HEIGHT FROM DYNAMIC FOOTPRINT ANTHROPOMETRY IN MALAYSIA INDIAN SUB-ETHNIC GROUP. 45(2). 45–50. 1 indexed citations

16.

Wang, Liqing, Suresh Kumar, Satinder Dahiya, et al.. (2016). Ubiquitin-specific Protease-7 Inhibition Impairs Tip60-dependent Foxp3 + T-regulatory Cell Function and Promotes Antitumor Immunity. EBioMedicine. 13. 99–112. 91 indexed citations

17.

Nicholson, Benjamin, Suresh Kumar, Saket Agarwal, et al.. (2014). Discovery of Therapeutic Deubiquitylase Effector Molecules: Current Perspectives. SLAS DISCOVERY. 19(7). 989–999. 10 indexed citations

18.

Boswell, Mikki, et al.. (2013). Transcriptomic analysis of cultured whale skin cells exposed to hexavalent chromium [Cr(VI)]. Aquatic Toxicology. 134-135. 74–81. 11 indexed citations

19.

Kumar, Suresh, et al.. (2010). Fourier Transform Infra Red Spectroscopic Studies on Epilepsy, Migraine and Paralysis. 23(34). 277–290. 1 indexed citations

20.

Yu, Hong, J. Jack Lee, Patrícia A. Possik, et al.. (2009). The Role of BRAF Mutation and p53 Inactivation during Transformation of a Subpopulation of Primary Human Melanocytes. American Journal Of Pathology. 174(6). 2367–2377. 61 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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