Anupam Sah
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Behavioral Neuroscience top 5%
- Neurology top 10%
- Co-authors
- Nicolas SingewaldStefano GaburroSimone B. SartoriRainer LandgrafClaudia SchmuckermairMaria KharitonovaHans‐Christian PapeLudwig Aigner
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Stress Responses and Cortisol (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesInternational Journal of Molecular SciencesPharmacology & Therapeutics
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Anupam Sah
18 papers receiving 655 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 302
- Cognitive Neuroscience 239
- Molecular Biology 168
- Behavioral Neuroscience 167
- Neurology 123
Countries citing papers authored by Anupam Sah
This map shows the geographic impact of Anupam 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 Anupam Sah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam Sah more than expected).
Fields of papers citing papers by Anupam Sah
This network shows the impact of papers produced by Anupam 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 Anupam Sah. The network helps show where Anupam Sah may publish in the future.
Co-authorship network of co-authors of Anupam Sah
This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Sah. A scholar is included among the top collaborators of Anupam Sah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anupam Sah. Anupam Sah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 47 | |
| 6 | 26 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 47 | |
| 11 | 41 | |
| 12 | Durable fear memories require PSD-95 | 1 |
| 13 | 39 | |
| 14 | 65 | |
| 15 | 133 | |
| 16 | 63 | |
| 17 | 55 | |
| 18 | 69 |
About Anupam Sah
Anupam Sah is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Developmental Neuroscience, having authored 18 papers that have together received 660 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Stress Responses and Cortisol (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Behavioral Neuroscience (167 citations), Biological Psychiatry (97 citations) and Cellular and Molecular Neuroscience (302 citations). Anupam Sah has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Nicolas Singewald, Stefano Gaburro, Simone B. Sartori, Rainer Landgraf, Claudia Schmuckermair, Maria Kharitonova, Hans‐Christian Pape, Ludwig Aigner, Nina Gartmann and Jan Haaker. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Pharmacology & 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.