Shiv Verma
- Plant Science top 10%
- Plant Molecular Biology Research 5
- Biotechnology top 10%
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- Epigenetics and DNA Methylation 4
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- Cancer-related molecular mechanisms research 6
- Cancer, Lipids, and Metabolism 6
- MicroRNA in disease regulation 4
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- Prostate Cancer Treatment and Research 9
- Prostate Cancer Diagnosis and Treatment 3
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- Cancer, Stress, Anesthesia, and Immune Response 3
- Co-authors
- Nat N. V. KavMuhammad Hafizur RahmanSanjay GuptaSowmya KrishnaswamyPrem Prakash KushwahaRanjan Kumar SahooNarendra TutejaEswar Shankar
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Shiv Verma
38 papers receiving 719 citations
Peers
Comparison fields: 5 of 82
- Plant Science 340
- Biotechnology 77
- Molecular Biology 453
- Cancer Research 90
- Oncology 87
Countries citing papers authored by Shiv Verma
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
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
The 25 scholars most cited alongside Shiv Verma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 8 | |
| 14 | 2014 | 38 | |
| 15 | Synergistic effect of C2H2 type Zinc-finger protein with LEA promoter to enhance abiotic stress tolerance in 'Brassica juncea' | 2013 | 4 |
| 16 | Effect of foliar application of urea and planting geometry on growth and flowering of gladiolus cv sapna | 2012 | 0 |
| 17 | 2012 | 37 | |
| 18 | 2012 | 106 | |
| 19 | 2010 | 161 | |
| 20 | 2010 | 23 |
About Shiv Verma
Shiv Verma is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Plant Science and Biotechnology, having authored 45 papers that have together received 732 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Cancer-related molecular mechanisms research (6 papers), Cancer, Lipids, and Metabolism (6 papers), Plant Molecular Biology Research (5 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Plant Science (340 citations), Biotechnology (77 citations), Molecular Biology (453 citations), Cancer Research (90 citations) and Oncology (87 citations). Shiv Verma has collaborated with scholars based in United States, India and Canada. Frequent 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. Their work appears in journals such as Cancers, Molecular Carcinogenesis, The Prostate, Journal of Clinical Oncology and Plant Molecular Biology.
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.