Mukesh Verma

5.6k total citations · 1 hit paper
147 papers, 3.9k citations indexed

About

Mukesh Verma is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mukesh Verma has authored 147 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 24 papers in Oncology and 21 papers in Genetics. Recurrent topics in Mukesh Verma's work include Epigenetics and DNA Methylation (41 papers), RNA modifications and cancer (20 papers) and Histone Deacetylase Inhibitors Research (12 papers). Mukesh Verma is often cited by papers focused on Epigenetics and DNA Methylation (41 papers), RNA modifications and cancer (20 papers) and Histone Deacetylase Inhibitors Research (12 papers). Mukesh Verma collaborates with scholars based in United States, India and Japan. Mukesh Verma's co-authors include Sudhir Srivastava, Sudhir Srivastava, Indranil Chattopadhyay, Madhusmita Panda, Alok Mishra, Deepak Kumar, Rao L. Divi, Yinming Zhao, Pothur R. Srinivas and Eugene A. Davidson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mukesh Verma

145 papers receiving 3.8k citations

Hit Papers

Role of Oral Microbiome Signatures in Diagnosis and Progn... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. Role of Oral Microbiome Signatures in Diagnosis and Prognosis of Oral Cancer
    2019 279 citations Mukesh Verma et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukesh Verma United States 34 2.4k 846 624 413 297 147 3.9k
Martin K. Oehler Australia 40 2.2k 0.9× 737 0.9× 1.0k 1.6× 303 0.7× 545 1.8× 164 4.5k
Øystein Bruserud Norway 45 3.9k 1.6× 823 1.0× 1.7k 2.8× 351 0.8× 270 0.9× 350 8.2k
Ying Liang China 37 2.3k 0.9× 1.1k 1.3× 1.2k 1.9× 416 1.0× 184 0.6× 170 4.1k
E. A. de Bruijn Belgium 32 2.0k 0.8× 710 0.8× 1.4k 2.3× 635 1.5× 248 0.8× 128 4.9k
Ewy A. Mathé United States 28 3.0k 1.2× 1.6k 1.9× 1.2k 1.9× 465 1.1× 116 0.4× 74 4.5k
Robert M. Mader Austria 34 1.2k 0.5× 743 0.9× 1.4k 2.3× 620 1.5× 101 0.3× 176 3.9k
Nicola Tinari Italy 35 2.0k 0.9× 420 0.5× 1.5k 2.4× 368 0.9× 109 0.4× 120 5.1k
Enrique Espinosa Spain 32 1.5k 0.6× 664 0.8× 1.8k 2.9× 773 1.9× 144 0.5× 232 4.2k
Irma Virant‐Klun Slovenia 34 1.6k 0.7× 476 0.6× 760 1.2× 410 1.0× 77 0.3× 111 4.4k
Ainsley Weston United States 40 2.3k 0.9× 1.7k 2.1× 946 1.5× 573 1.4× 157 0.5× 128 4.9k

Countries citing papers authored by Mukesh Verma

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Verma. A scholar is included among the top collaborators of Mukesh Verma 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 Mukesh Verma. Mukesh Verma 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.
Moravec, Radim, Rao L. Divi, & Mukesh Verma. (2017). Detecting circulating tumor material and digital pathology imaging during pancreatic cancer progression. World Journal of Gastrointestinal Oncology. 9(6). 235–235. 20 indexed citations
2.
Chai, Ryan C., Duncan Lambie, Mukesh Verma, & Chamindie Punyadeera. (2015). Current trends in the etiology and diagnosis of HPV-related head and neck cancers. QUT ePrints (Queensland University of Technology). 4 indexed citations
3.
Verma, Mukesh, et al.. (2014). Epigenetic Inhibitors. Methods in molecular biology. 1238. 469–485. 13 indexed citations
4.
Verma, Mukesh, et al.. (2014). Cancer-Associated Infectious Agents and Epigenetic Regulation. Methods in molecular biology. 1238. 333–354. 11 indexed citations
5.
Haznadar, Majda, Padma Maruvada, John A. Milner, et al.. (2014). Navigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies. Metabolomics. 10(2). 176–178. 6 indexed citations
6.
Mishra, Alok, Daniel J. Brat, & Mukesh Verma. (2014). P53 Tumor Suppression Network in Cancer Epigenetics. Methods in molecular biology. 1238. 597–605. 12 indexed citations
7.
Verma, Mukesh, et al.. (2014). Epigenetic Approaches in Glioblastoma Multiforme and Their Implication in Screening and Diagnosis. Methods in molecular biology. 1238. 511–521. 9 indexed citations
8.
Verma, Mukesh. (2013). Metabolomics Research at the National Institutes of Health (NIH). 1 indexed citations
9.
Banaudha, Krishna & Mukesh Verma. (2012). The Role of MicroRNAs in the Management of Liver Cancer. Methods in molecular biology. 863. 241–251. 19 indexed citations
10.
Verma, Mukesh, et al.. (2012). Epigenetic regulation of DNMT1 gene in mouse model of asthma disease. Molecular Biology Reports. 40(3). 2357–2368. 19 indexed citations
11.
Patacsil, Dorrelyn, Ayesha N. Shajahan‐Haq, Prafulla C. Gokhale, et al.. (2011). Vitamin E succinate inhibits survivin and induces apoptosis in pancreatic cancer cells. Genes & Nutrition. 7(1). 83–89. 17 indexed citations
12.
Tripathi, Shambhoo Sharan, et al.. (2010). IL-6 receptor-mediated lung Th2 cytokine networking in silica-induced pulmonary fibrosis. Archives of Toxicology. 84(12). 947–955. 35 indexed citations
13.
Verma, Mukesh. (2008). Cancer Epidemiology. Methods in molecular biology. 6 indexed citations
14.
Verma, Mukesh. (2008). Proteomics and Cancer Epidemiology. Methods in molecular biology. 471. 197–215. 9 indexed citations
15.
Patacsil, Dorrelyn, et al.. (2007). Vitamin E succinate induces apoptosis in pancreatic cancer cells. Cancer Research. 67. 19–19. 3 indexed citations
16.
Grizzle, William E., Bao-Ling Adam, William L. Bigbee, et al.. (2004). Serum Protein Expression Profiling for Cancer Detection: Validation of a SELDI‐Based Approach for Prostate Cancer. Disease Markers. 19(4-5). 185–195. 52 indexed citations
17.
Veerasamy, Ravichandran, Gregory B. Vásquez, Sudhir Srivastava, et al.. (2004). Data standards for proteomics: mitochondrial two-dimensional polyacrylamide gel electrophoresis data as a model system. Mitochondrion. 3(6). 327–336. 5 indexed citations
18.
Dunn, Barbara K., Mukesh Verma, & Asad Umar. (2003). Epigenetics in Cancer Prevention: Early Detection and Risk Assessment. Annals of the New York Academy of Sciences. 983(1). 1–4. 23 indexed citations
19.
Verma, Mukesh, et al.. (2002). The promise of biomarkers in cancer screening and detection. Trends in Molecular Medicine. 8(6). 288–293. 86 indexed citations
20.
Verma, Mukesh & Maharani Chakravorty. (1987). Bacteriophage MB78 DNA synthesis is specifically inhibited by the chelating agent ethylene diamine tetraacetic acid. FEMS Microbiology Letters. 44(1). 115–119. 2 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

Breakdown of academic impact, for papers by Martin K. Oehler Breakdown of academic impact, for papers by Øystein Bruserud Breakdown of academic impact, for papers by Ying Liang Breakdown of academic impact, for papers by E. A. de Bruijn Breakdown of academic impact, for papers by Ewy A. Mathé Breakdown of academic impact, for papers by Robert M. Mader Breakdown of academic impact, for papers by Nicola Tinari Breakdown of academic impact, for papers by Enrique Espinosa Breakdown of academic impact, for papers by Irma Virant‐Klun Breakdown of academic impact, for papers by Ainsley Weston
Rankless by CCL
2026