Pawan Faris
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
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- Ion Channels and Receptors 17
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- Photoreceptor and optogenetics research 5
- Neuroscience and Neuropharmacology Research 4
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Francesco Moccia (38 shared papers)Sharon Negri (28 shared papers)Germano Guerra (9 shared papers)Roberto Berra‐Romani (11 shared papers)Mudhir Sabir Shekha (4 shared papers)Umberto Laforenza (8 shared papers)Giorgia Pellavio (8 shared papers)Daniela Montagna (7 shared papers)
In The Last Decade
Pawan Faris
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Sensory Systems 386
- Physiology 179
- Neurology 133
- Cellular and Molecular Neuroscience 236
- Toxicology 39
Countries citing papers authored by Pawan Faris
This map shows the geographic impact of Pawan Faris'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 Pawan Faris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Faris more than expected).
Fields of papers citing papers by Pawan Faris
This network shows the impact of papers produced by Pawan Faris. 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 Pawan Faris. The network helps show where Pawan Faris may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan Faris, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2020 | 105 | |
| 3 | 2021 | 61 | |
| 4 | 2020 | 52 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 49 | |
| 7 | 2019 | 44 | |
| 8 | 2019 | 43 | |
| 9 | 2018 | 39 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2021 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2020 | 27 | |
| 17 | 2021 | 26 | |
| 18 | 2021 | 25 | |
| 19 | 2021 | 22 | |
| 20 | 2023 | 22 |
About Pawan Faris
Pawan Faris is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Neurology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Channels and Receptors (17 papers), Calcium signaling and nucleotide metabolism (10 papers), Photoreceptor and optogenetics research (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurobiology and Insect Physiology Research (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Sensory Systems (386 citations), Physiology (179 citations), Neurology (133 citations), Cellular and Molecular Neuroscience (236 citations) and Toxicology (39 citations). Pawan Faris has collaborated with scholars based in Italy, Iraq and Mexico. Frequent co-authors include Francesco Moccia, Sharon Negri, Germano Guerra, Roberto Berra‐Romani, Mudhir Sabir Shekha, Umberto Laforenza, Giorgia Pellavio, Daniela Montagna, Vittorio Rosti and Laura Botta. Their work appears in journals such as Vascular Pharmacology, Cells, International Journal of Molecular Sciences, Cancers and Journal of Cellular Physiology.
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.