Parkash S. Gill
- Oncology top 0.5%
- Viral-associated cancers and disorders 46
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 29
- Virology top 2%
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- Axon Guidance and Neuronal Signaling 36
- Immunology top 2%
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- Angiogenesis and VEGF in Cancer 31
- Ubiquitin and proteasome pathways 12
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- Hippo pathway signaling and YAP/TAZ 17
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- CNS Lymphoma Diagnosis and Treatment 11
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- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- Rizwan MasoodD. Lynne SmithValery KrasnoperovAlexandra M. LevineTong ZhengByron M. EspinaAnil TulpuleRen Liu
- Journals
- Nature (3 papers)New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Parkash S. Gill
163 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 125
- Oncology 3.2k
- Pathology and Forensic Medicine 1.4k
- Virology 296
- Cellular and Molecular Neuroscience 1.1k
- Immunology 1.2k
Countries citing papers authored by Parkash S. Gill
This map shows the geographic impact of Parkash S. Gill'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 Parkash S. Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parkash S. Gill more than expected).
Fields of papers citing papers by Parkash S. Gill
This network shows the impact of papers produced by Parkash S. Gill. 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 Parkash S. Gill. The network helps show where Parkash S. Gill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Parkash S. Gill, 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 | 2024 | 0 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 13 | |
| 5 | 2017 | 39 | |
| 6 | 2017 | 43 | |
| 7 | 2014 | 150 | |
| 8 | 2014 | 12 | |
| 9 | 2013 | 151 | |
| 10 | 2012 | 64 | |
| 11 | 2012 | 33 | |
| 12 | 2010 | 33 | |
| 13 | 2010 | 262 | |
| 14 | 2009 | 112 | |
| 15 | 2005 | 10 | |
| 16 | 2000 | 38 | |
| 17 | 2000 | 9 | |
| 18 | Inhibition of AIDS-Kaposi's sarcoma cell proliferation following retinoic acid receptor activation. | 1995 | 38 |
| 19 | 1989 | 101 | |
| 20 | 1989 | 137 |
About Parkash S. Gill
Parkash S. Gill is a scholar working on Oncology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 165 papers that have together received 8.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (46 papers), Axon Guidance and Neuronal Signaling (36 papers), Angiogenesis and VEGF in Cancer (31 papers), Lymphoma Diagnosis and Treatment (29 papers), Hippo pathway signaling and YAP/TAZ (17 papers), Ubiquitin and proteasome pathways (12 papers), CNS Lymphoma Diagnosis and Treatment (11 papers) and Chronic Lymphocytic Leukemia Research (10 papers). The work is most often cited by research in Oncology (3.2k citations), Pathology and Forensic Medicine (1.4k citations) and Virology (296 citations). Parkash S. Gill has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Rizwan Masood, D. Lynne Smith, Valery Krasnoperov, Alexandra M. Levine, Tong Zheng, Byron M. Espina, Anil Tulpule, Ren Liu, Amy S. Lee and Jie Cai. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.