Venugopal Gunda
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Cancer, Hypoxia, and Metabolism 18
- Cancer, Lipids, and Metabolism 4
- Protease and Inhibitor Mechanisms 4
-
- Angiogenesis and VEGF in Cancer 6
- Metabolism, Diabetes, and Cancer 4
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Pankaj K. Singh (18 shared papers)Fang Yu (9 shared papers)Surendra K. Shukla (13 shared papers)Nina V. Chaika (10 shared papers)Jaime Abrego (7 shared papers)Enza Vernucci (7 shared papers)Ryan J. King (6 shared papers)Vinee Purohit (4 shared papers)
- Journals
- Cancer Research (6 papers)PLoS ONE (3 papers)Cancers (2 papers)Oncotarget (2 papers)Investigative Ophthalmology & Visual Science (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Venugopal Gunda
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 572
- Oncology 282
- Molecular Biology 642
- Physiology 180
- Immunology and Allergy 31
Countries citing papers authored by Venugopal Gunda
This map shows the geographic impact of Venugopal Gunda'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 Venugopal Gunda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venugopal Gunda more than expected).
Fields of papers citing papers by Venugopal Gunda
This network shows the impact of papers produced by Venugopal Gunda. 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 Venugopal Gunda. The network helps show where Venugopal Gunda may publish in the future.
Co-authors
The 25 scholars most cited alongside Venugopal Gunda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2017 | 160 | |
| 3 | 2019 | 89 | |
| 4 | 2017 | 76 | |
| 5 | 2017 | 74 | |
| 6 | 2015 | 69 | |
| 7 | 2015 | 56 | |
| 8 | 2019 | 55 | |
| 9 | 2019 | 50 | |
| 10 | 2017 | 32 | |
| 11 | 2017 | 30 | |
| 12 | 2019 | 25 | |
| 13 | 2013 | 23 | |
| 14 | 2016 | 21 | |
| 15 | 2020 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2013 | 12 | |
| 20 | 2013 | 8 |
About Venugopal Gunda
Venugopal Gunda is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Allergy and Epidemiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (18 papers), Angiogenesis and VEGF in Cancer (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cell Adhesion Molecules Research (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Lipids, and Metabolism (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Cancer Research (572 citations), Oncology (282 citations), Molecular Biology (642 citations), Physiology (180 citations) and Immunology and Allergy (31 citations). Venugopal Gunda has collaborated with scholars based in United States, India and China. Frequent co-authors include Pankaj K. Singh, Fang Yu, Surendra K. Shukla, Nina V. Chaika, Jaime Abrego, Enza Vernucci, Ryan J. King, Vinee Purohit, Aneesha Dasgupta and Gennifer D. Goode. Their work appears in journals such as Cancer Research, PLoS ONE, Cancers, Oncotarget and Investigative Ophthalmology & Visual Science.
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.