U Nayar
Impact in
- Family Practice top 5%
- Behavioral Neuroscience top 10%
Papers in
-
- Neuropeptides and Animal Physiology 12
- Neuroscience and Neuropharmacology Research 10
- Physiology 24
- Pain Mechanisms and Treatments 8
- Diet and metabolism studies 8
- Co-authors
- Ingunn Hagen (3 shared papers)Smita Manchanda (7 shared papers)Rashmi Mathur (11 shared papers)Pradeep Mutalik (2 shared papers)Meenakshi Alreja (2 shared papers)R L Bijlani (3 shared papers)Salah Eldin Kassab (4 shared papers)Usha Sachdeva (4 shared papers)
- Journals
- Journal of the Neurological Sciences (2 papers)Frontiers in Psychology (2 papers)Physiology & Behavior (2 papers)Medical Teacher (2 papers)Pharmacology (1 paper)
- Partner nations
- IndiaBahrainUnited States
In The Last Decade
U Nayar
73 papers receiving 637 citations
Peers
Comparison fields: 5 of 107
- Family Practice 44
- Behavioral Neuroscience 38
- Endocrine and Autonomic Systems 67
- Physiology 250
- Cellular and Molecular Neuroscience 141
Countries citing papers authored by U Nayar
This map shows the geographic impact of U Nayar'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 U Nayar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Nayar more than expected).
Fields of papers citing papers by U Nayar
This network shows the impact of papers produced by U Nayar. 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 U Nayar. The network helps show where U Nayar may publish in the future.
Co-authors
The 25 scholars most cited alongside U Nayar, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 86 | |
| 2 | 2014 | 81 | |
| 3 | 1986 | 58 | |
| 4 | 2004 | 50 | |
| 5 | 2014 | 38 | |
| 6 | 2017 | 30 | |
| 7 | Serum leptin and insulin levels during chronic diurnal fasting. | 2003 | 28 |
| 8 | Amygdalar involvement in pain. | 1995 | 26 |
| 9 | 1987 | 17 | |
| 10 | 2001 | 14 | |
| 11 | Dizocilpine, ketamine and ethanol reverse NMDA-induced EEG changes and convulsions in rats and mice. | 1991 | 14 |
| 12 | 1999 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 1990 | 12 | |
| 15 | 1980 | 12 | |
| 16 | 2000 | 11 | |
| 17 | GABA B mediated analgesia in tonic pain in monkeys. | 1993 | 10 |
| 18 | 2021 | 9 | |
| 19 | 2001 | 9 | |
| 20 | 1985 | 8 |
About U Nayar
U Nayar is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Social Psychology and Nutrition and Dietetics, having authored 76 papers that have together received 688 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Neuroendocrine regulation and behavior (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (9 papers), Pain Mechanisms and Treatments (8 papers), Diet and metabolism studies (8 papers), Food composition and properties (6 papers) and Sleep and Wakefulness Research (6 papers). The work is most often cited by research in Family Practice (44 citations), Behavioral Neuroscience (38 citations), Endocrine and Autonomic Systems (67 citations), Physiology (250 citations) and Cellular and Molecular Neuroscience (141 citations). U Nayar has collaborated with scholars based in India, Bahrain and United States. Frequent co-authors include Ingunn Hagen, Smita Manchanda, Rashmi Mathur, Pradeep Mutalik, Meenakshi Alreja, R L Bijlani, Salah Eldin Kassab, Usha Sachdeva, Laura Brady and Anne Stangl. Their work appears in journals such as Journal of the Neurological Sciences, Frontiers in Psychology, Physiology & Behavior, Medical Teacher and Pharmacology.
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.