Prashant Bavi
Impact in
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
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- Genetic factors in colorectal cancer
- Lymphoma Diagnosis and Treatment
Papers in
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- Ubiquitin and proteasome pathways 8
- PI3K/AKT/mTOR signaling in cancer 7
- Peroxisome Proliferator-Activated Receptors 4
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- Lymphoma Diagnosis and Treatment 12
- Genetic factors in colorectal cancer 6
- Co-authors
- Shahab Uddin (58 shared papers)Khawla S. Al‐Kuraya (57 shared papers)Fouad Al‐Dayel (52 shared papers)Maqbool Ahmed (31 shared papers)Jehad Abubaker (23 shared papers)Rong Bu (22 shared papers)Abdul K. Siraj (20 shared papers)Nasser Al‐Sanea (17 shared papers)
- Journals
- Cancer Research (8 papers)The Journal of Pathology (6 papers)Molecular Cancer (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)The American Journal of Human Genetics (4 papers)
- Partner nations
- Saudi ArabiaUnited StatesCanada
In The Last Decade
Prashant Bavi
76 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 597
- Pathology and Forensic Medicine 550
- Oncology 725
- Endocrine and Autonomic Systems 136
- Molecular Biology 1.3k
Countries citing papers authored by Prashant Bavi
This map shows the geographic impact of Prashant Bavi'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 Prashant Bavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Bavi more than expected).
Fields of papers citing papers by Prashant Bavi
This network shows the impact of papers produced by Prashant Bavi. 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 Prashant Bavi. The network helps show where Prashant Bavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Bavi, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 224 | |
| 2 | 2009 | 186 | |
| 3 | 2007 | 143 | |
| 4 | 2011 | 135 | |
| 5 | 2006 | 106 | |
| 6 | 2008 | 105 | |
| 7 | 2009 | 102 | |
| 8 | 2009 | 94 | |
| 9 | 2008 | 82 | |
| 10 | 2009 | 77 | |
| 11 | 2009 | 77 | |
| 12 | 2009 | 73 | |
| 13 | 2008 | 71 | |
| 14 | 2008 | 67 | |
| 15 | 2015 | 62 | |
| 16 | 2011 | 57 | |
| 17 | 2011 | 54 | |
| 18 | 2009 | 54 | |
| 19 | 2007 | 52 | |
| 20 | 2010 | 51 |
About Prashant Bavi
Prashant Bavi is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Oncology and Genetics, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Ubiquitin and proteasome pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer-related Molecular Pathways (6 papers), Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Cancer Research (597 citations), Pathology and Forensic Medicine (550 citations), Oncology (725 citations), Endocrine and Autonomic Systems (136 citations) and Molecular Biology (1.3k citations). Prashant Bavi has collaborated with scholars based in Saudi Arabia, United States and Canada. Frequent co-authors include Shahab Uddin, Khawla S. Al‐Kuraya, Fouad Al‐Dayel, Maqbool Ahmed, Jehad Abubaker, Rong Bu, Abdul K. Siraj, Nasser Al‐Sanea, Zeenath Jehan and Azhar R. Hussain. Their work appears in journals such as Cancer Research, The Journal of Pathology, Molecular Cancer, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.
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.