Pankaj Sah
Impact in
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Behavioral Neuroscience top 0.2%
- Stress Responses and Cortisol
Papers in
-
- Neuroscience and Neuropharmacology Research 104
- Neuroscience and Neural Engineering 22
- Photoreceptor and optogenetics research 22
-
- Memory and Neural Mechanisms 56
- Neural dynamics and brain function 36
- Co-authors
- E. S. Louise FaberJohn PowerMikel López de ArmentiaShaul HestrinRoger A. NicollElspeth M. McLachlanAndrew DelaneyDavid J. Perkel
- Journals
- Journal of Neuroscience (24 papers)Journal of Neurophysiology (14 papers)The Journal of Physiology (13 papers)Neuron (7 papers)Nature Neuroscience (6 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Pankaj Sah
155 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cellular and Molecular Neuroscience 8.3k
- Behavioral Neuroscience 1.2k
- Cognitive Neuroscience 5.1k
- Developmental Neuroscience 626
- Neurology 1.1k
Countries citing papers authored by Pankaj Sah
This map shows the geographic impact of Pankaj Sah'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 Pankaj Sah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Sah more than expected).
Fields of papers citing papers by Pankaj Sah
This network shows the impact of papers produced by Pankaj Sah. 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 Pankaj Sah. The network helps show where Pankaj Sah may publish in the future.
Co-authors
The 25 scholars most cited alongside Pankaj Sah, 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 | 2025 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 57 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 39 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 36 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 4 | |
| 15 | 2009 | 19 | |
| 16 | 2006 | 51 | |
| 17 | 2004 | 42 | |
| 18 | 1998 | 36 | |
| 19 | 1993 | 19 | |
| 20 | 1990 | 287 |
About Pankaj Sah
Pankaj Sah is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 161 papers that have together received 12.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (104 papers), Memory and Neural Mechanisms (56 papers), Ion channel regulation and function (43 papers), Neural dynamics and brain function (36 papers), Neuroscience and Neural Engineering (22 papers), Photoreceptor and optogenetics research (22 papers), Nicotinic Acetylcholine Receptors Study (15 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.3k citations), Behavioral Neuroscience (1.2k citations), Cognitive Neuroscience (5.1k citations), Developmental Neuroscience (626 citations) and Neurology (1.1k citations). Pankaj Sah has collaborated with scholars based in Australia, China and United States. Frequent co-authors include E. S. Louise Faber, John Power, Mikel López de Armentia, Shaul Hestrin, Roger A. Nicoll, Elspeth M. McLachlan, Andrew Delaney, David J. Perkel, Roger Marek and Alan R. Woodruff. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, The Journal of Physiology, Neuron and Nature Neuroscience.
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.