Shiv Verma

1.1k total citations
45 papers, 732 citations indexed

About

Shiv Verma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Shiv Verma has authored 45 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Cancer Research. Recurrent topics in Shiv Verma's work include Prostate Cancer Treatment and Research (9 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer, Lipids, and Metabolism (6 papers). Shiv Verma is often cited by papers focused on Prostate Cancer Treatment and Research (9 papers), Cancer-related molecular mechanisms research (6 papers) and Cancer, Lipids, and Metabolism (6 papers). Shiv Verma collaborates with scholars based in United States, India and Canada. Shiv Verma's co-authors include Nat N. V. Kav, Muhammad Hafizur Rahman, Sanjay Gupta, Sowmya Krishnaswamy, Prem Prakash Kushwaha, Ranjan Kumar Sahoo, Narendra Tuteja, Eswar Shankar, Rakesh Kumar Sinha and Shashank Kumar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shiv Verma

38 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Verma United States 17 453 340 100 90 87 45 732
Di Guan China 11 267 0.6× 138 0.4× 66 0.7× 75 0.8× 69 0.8× 28 526
Payal Agarwal United States 11 314 0.7× 190 0.6× 78 0.8× 107 1.2× 73 0.8× 27 598
Shirley Qiu United States 15 602 1.3× 171 0.5× 32 0.3× 99 1.1× 132 1.5× 22 894
Douglas Adamóski Brazil 16 397 0.9× 249 0.7× 51 0.5× 229 2.5× 52 0.6× 40 783
Jigyasa H. Tuteja United States 11 400 0.9× 495 1.5× 33 0.3× 58 0.6× 32 0.4× 11 789
Joke Allemeersch Belgium 13 388 0.9× 174 0.5× 43 0.4× 107 1.2× 141 1.6× 20 725
Melinda Szilágyi Hungary 13 539 1.2× 150 0.4× 25 0.3× 264 2.9× 46 0.5× 25 688
Feifei Qi China 17 412 0.9× 210 0.6× 58 0.6× 86 1.0× 62 0.7× 35 788
Shanwen Ke China 12 234 0.5× 251 0.7× 42 0.4× 27 0.3× 44 0.5× 27 423
Gilvan Pessoa Furtado Brazil 15 484 1.1× 105 0.3× 19 0.2× 56 0.6× 56 0.6× 28 714

Countries citing papers authored by Shiv Verma

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Verma. A scholar is included among the top collaborators of Shiv 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 Shiv Verma. Shiv 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.
Verma, Shiv, et al.. (2025). EZH2 Dysregulation and Its Oncogenic Role in Human Cancers. Cancers. 17(19). 3111–3111. 1 indexed citations
2.
Verma, Shiv, et al.. (2024). Influence of microbiome in intraprostatic inflammation and prostate cancer. The Prostate. 84(13). 1179–1188. 4 indexed citations
3.
Verma, Shiv, et al.. (2024). Melanoma Antigen Family A (MAGE A) as Promising Biomarkers and Therapeutic Targets in Bladder Cancer. Cancers. 16(2). 246–246. 4 indexed citations
4.
5.
Kushwaha, Prem Prakash, et al.. (2023). Inhibition of Wnt/β‐catenin pathway overcomes therapeutic resistance to abiraterone in castration‐resistant prostate cancer. Molecular Carcinogenesis. 62(9). 1312–1324. 5 indexed citations
6.
Kushwaha, Prem Prakash, Shiv Verma, & Sanjay Gupta. (2023). Aquaporins as Prognostic Biomarker in Prostate Cancer. Cancers. 15(2). 331–331. 6 indexed citations
7.
Verma, Shiv, Keshav Sharma, & Seema Chhabra. (2023). Pathogenesis of Hidradenitis Suppurativa: An Immunological Perspective. Indian Journal of Dermatology. 68(3). 296–300. 2 indexed citations
8.
Verma, Shiv, Eswar Shankar, Spencer Lin, et al.. (2021). Identification of Key Genes Associated with Progression and Prognosis of Bladder Cancer through Integrated Bioinformatics Analysis. Cancers. 13(23). 5931–5931. 10 indexed citations
9.
Verma, Shiv, Eswar Shankar, Vaibhav Singh, et al.. (2020). Androgen Deprivation Induces Transcriptional Reprogramming in Prostate Cancer Cells to Develop Stem Cell-Like Characteristics. International Journal of Molecular Sciences. 21(24). 9568–9568. 34 indexed citations
10.
11.
Verma, Shiv & Sanjay Gupta. (2019). Noncoding RNAs and Its Implication as Biomarkers in Renal Cell Carcinoma: A Systematic Analysis. SHILAP Revista de lepidopterología. 1–11. 1 indexed citations
12.
Verma, Shiv, Mitali Pandey, Girish C. Shukla, Vaibhav Singh, & Sanjay Gupta. (2019). Integrated analysis of miRNA landscape and cellular networking pathways in stage-specific prostate cancer. PLoS ONE. 14(11). e0224071–e0224071. 16 indexed citations
13.
Verma, Shiv, Sanjeev Shukla, Mitali Pandey, Gregory T. MacLennan, & Sanjay Gupta. (2019). Differentially Expressed Genes and Molecular Pathways in an Autochthonous Mouse Prostate Cancer Model. Frontiers in Genetics. 10. 235–235. 8 indexed citations
14.
Verma, Shiv, et al.. (2013). Synergistic effect of C2H2 type Zinc-finger protein with LEA promoter to enhance abiotic stress tolerance in 'Brassica juncea'. Plant Omics. 6(3). 208–214. 4 indexed citations
15.
Verma, Ravi, et al.. (2012). Effect of foliar application of urea and planting geometry on growth and flowering of gladiolus cv sapna. Annals of Horticulture. 5(2). 192–197.
16.
Verma, Shiv, William Yajima, Muhammad Hafizur Rahman, et al.. (2012). A cysteine-rich antimicrobial peptide from Pinus monticola (PmAMP1) confers resistance to multiple fungal pathogens in canola (Brassica napus). Plant Molecular Biology. 79(1-2). 61–74. 37 indexed citations
17.
Tuteja, Narendra, et al.. (2012). Recent advances in development of marker-free transgenic plants: Regulation and biosafety concern. Journal of Biosciences. 37(1). 167–197. 106 indexed citations
18.
Yajima, William, Shiv Verma, Saleh Shah, et al.. (2010). Expression of anti-sclerotinia scFv in transgenic Brassica napus enhances tolerance against stem rot. New Biotechnology. 27(6). 816–821. 23 indexed citations
19.
Krishnaswamy, Sowmya, Shiv Verma, Muhammad Hafizur Rahman, & Nat N. V. Kav. (2010). Functional characterization of four APETALA2-family genes (RAP2.6, RAP2.6L, DREB19 and DREB26) in Arabidopsis. Plant Molecular Biology. 75(1-2). 107–127. 161 indexed citations
20.
Barlow, Ellen, Shiv Verma, Femina Kanji, Sean Hopkins, & Lise Paquet. (2010). Factors contributing to delays in breast cancer management.. Journal of Clinical Oncology. 28(15_suppl). 6070–6070. 1 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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