Prabhakar Chalise
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 9
- Mitochondrial Function and Pathology 4
- Oncology 15
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Brooke L. Fridley (11 shared papers)Navneet K. Dhillon (5 shared papers)Balaji Krishnamachary (4 shared papers)Leslie Spikes (3 shared papers)Ashok Kumar (2 shared papers)Jianghua He (4 shared papers)Yi Zhong (2 shared papers)Devin C. Koestler (9 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Clinical Oncology (3 papers)Cancers (2 papers)Journal of Burn Care & Research (2 papers)Cancer Prevention Research (2 papers)
- Partner nations
- United StatesNepalUnited Kingdom
In The Last Decade
Prabhakar Chalise
62 papers receiving 948 citations
Peers
Comparison fields: 5 of 138
- Cancer Research 116
- Neurology 100
- Infectious Diseases 114
- Molecular Biology 423
- Oncology 129
Countries citing papers authored by Prabhakar Chalise
This map shows the geographic impact of Prabhakar Chalise'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 Prabhakar Chalise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhakar Chalise more than expected).
Fields of papers citing papers by Prabhakar Chalise
This network shows the impact of papers produced by Prabhakar Chalise. 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 Prabhakar Chalise. The network helps show where Prabhakar Chalise may publish in the future.
Co-authors
The 25 scholars most cited alongside Prabhakar Chalise, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2015 | 78 | |
| 3 | 2021 | 77 | |
| 4 | 2023 | 68 | |
| 5 | 2018 | 35 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2014 | 29 | |
| 9 | 2020 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2011 | 17 | |
| 19 | 2021 | 13 | |
| 20 | 2019 | 13 |
About Prabhakar Chalise
Prabhakar Chalise is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Epidemiology, having authored 68 papers that have together received 958 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (9 papers), Cancer Genomics and Diagnostics (6 papers), Statistical Methods and Inference (4 papers), Estrogen and related hormone effects (4 papers), Mitochondrial Function and Pathology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cancer Research (116 citations), Neurology (100 citations), Infectious Diseases (114 citations), Molecular Biology (423 citations) and Oncology (129 citations). Prabhakar Chalise has collaborated with scholars based in United States, Nepal and United Kingdom. Frequent co-authors include Brooke L. Fridley, Navneet K. Dhillon, Balaji Krishnamachary, Leslie Spikes, Ashok Kumar, Jianghua He, Yi Zhong, Devin C. Koestler, Moben Mirza and Jill Hamilton‐Reeves. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancers, Journal of Burn Care & Research and Cancer Prevention Research.
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.