Gaurav Pathria
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
-
- Epigenetics and DNA Methylation
- Melanoma and MAPK Pathways
- RNA modifications and cancer
- Hedgehog Signaling Pathway Studies
Papers in
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- Melanoma and MAPK Pathways 7
- Epigenetics and DNA Methylation 4
- Hedgehog Signaling Pathway Studies 2
- Oncology 7
- Cancer-related Molecular Pathways 5
- Co-authors
- Ze’ev A. Ronai (6 shared papers)Stephan N. Wagner (10 shared papers)Christine Wagner (7 shared papers)David A. Scott (5 shared papers)Eytan Ruppin (3 shared papers)Joo Sang Lee (2 shared papers)Avinash Sahu (2 shared papers)Georg Stingl (5 shared papers)
- Journals
- Journal of Investigative Dermatology (3 papers)PLoS ONE (2 papers)Nature Cell Biology (2 papers)The EMBO Journal (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Gaurav Pathria
20 papers receiving 598 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 166
- Molecular Biology 403
- Oncology 127
- Cell Biology 75
- Immunology 62
Countries citing papers authored by Gaurav Pathria
This map shows the geographic impact of Gaurav Pathria'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 Gaurav Pathria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Pathria more than expected).
Fields of papers citing papers by Gaurav Pathria
This network shows the impact of papers produced by Gaurav Pathria. 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 Gaurav Pathria. The network helps show where Gaurav Pathria may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaurav Pathria, 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 | 2018 | 123 | |
| 2 | 2019 | 68 | |
| 3 | 2014 | 54 | |
| 4 | 2023 | 45 | |
| 5 | 2012 | 39 | |
| 6 | 2013 | 36 | |
| 7 | 2012 | 33 | |
| 8 | 2022 | 28 | |
| 9 | 2011 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2016 | 18 | |
| 14 | 2016 | 16 | |
| 15 | 2016 | 14 | |
| 16 | 2010 | 13 | |
| 17 | 2013 | 9 | |
| 18 | 2024 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2021 | 1 |
About Gaurav Pathria
Gaurav Pathria is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 605 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (166 citations), Molecular Biology (403 citations), Oncology (127 citations), Cell Biology (75 citations) and Immunology (62 citations). Gaurav Pathria has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Ze’ev A. Ronai, Stephan N. Wagner, Christine Wagner, David A. Scott, Eytan Ruppin, Joo Sang Lee, Avinash Sahu, Georg Stingl, Sachin Kumar Verma and Yu Fujita. Their work appears in journals such as Journal of Investigative Dermatology, PLoS ONE, Nature Cell Biology, The EMBO Journal and Molecular Cancer Therapeutics.
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.