Pravir Kumar
Impact in
- Health Informatics top 0.5%
- Biological Psychiatry top 5%
Papers in
-
- Ubiquitin and proteasome pathways 18
- Histone Deacetylase Inhibitors Research 12
- Mitochondrial Function and Pathology 10
- Physiology 24
- Alzheimer's disease research and treatments 14
- Co-authors
- Rashmi K. Ambasta (65 shared papers)Rohan Gupta (25 shared papers)Mehar Sahu (10 shared papers)Devesh Srivastava (3 shared papers)Swati Tiwari (2 shared papers)Saurabh Kumar Jha (15 shared papers)Niraj Kumar Jha (13 shared papers)Dhiraj Kumar (14 shared papers)
- Journals
- Ageing Research Reviews (11 papers)ACS Omega (5 papers)Journal of Alzheimer s Disease (5 papers)Neuropeptides (4 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (3 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Pravir Kumar
120 papers receiving 4.8k citations
Pravir Kumar's Hit Papers
Peers
Comparison fields: 5 of 182
- Health Informatics 160
- Biological Psychiatry 112
- Neurology 311
- Physiology 905
- Molecular Biology 2.1k
Countries citing papers authored by Pravir Kumar
This map shows the geographic impact of Pravir Kumar'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 Pravir Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravir Kumar more than expected).
Fields of papers citing papers by Pravir Kumar
This network shows the impact of papers produced by Pravir Kumar. 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 Pravir Kumar. The network helps show where Pravir Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pravir Kumar, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence to deep learning: machine intelligence approach for drug discovery Hit paper breakdown → | 2021 | 962 |
| 2 | 2004 | 462 | |
| 3 | 2004 | 214 | |
| 4 | 2009 | 185 | |
| 5 | 2007 | 132 | |
| 6 | p38 MAPK and PI3K/AKT Signalling Cascades inParkinson's Disease. | 2015 | 130 |
| 7 | 2021 | 115 | |
| 8 | 2006 | 111 | |
| 9 | 2022 | 105 | |
| 10 | 2021 | 98 | |
| 11 | 2021 | 94 | |
| 12 | 2016 | 92 | |
| 13 | 2023 | 91 | |
| 14 | 2021 | 83 | |
| 15 | 2023 | 77 | |
| 16 | 2015 | 75 | |
| 17 | 2009 | 75 | |
| 18 | 2015 | 73 | |
| 19 | 2012 | 70 | |
| 20 | 2013 | 67 |
About Pravir Kumar
Pravir Kumar is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Oncology, having authored 122 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (18 papers), Alzheimer's disease research and treatments (14 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Computational Drug Discovery Methods (12 papers), Histone Deacetylase Inhibitors Research (12 papers), Mitochondrial Function and Pathology (10 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Health Informatics (160 citations), Biological Psychiatry (112 citations), Neurology (311 citations), Physiology (905 citations) and Molecular Biology (2.1k citations). Pravir Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Rashmi K. Ambasta, Rohan Gupta, Mehar Sahu, Devesh Srivastava, Swati Tiwari, Saurabh Kumar Jha, Niraj Kumar Jha, Dhiraj Kumar, Henry Querfurth and Kenneth M. Rosen. Their work appears in journals such as Ageing Research Reviews, ACS Omega, Journal of Alzheimer s Disease, Neuropeptides and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.
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.