Nikhil M. Urs
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Endocrine and Autonomic Systems top 10%
- Neurology
- Co-authors
- Marc G. CaronSean M. PetersonTanya L. DaigleJoshua C. SnyderRaul R. GainetdinovCaroline E. BassTama EvronThomas F. Pack
- Topics
- Receptor Mechanisms and Signaling (25 papers)Neurotransmitter Receptor Influence on Behavior (18 papers)Neuroscience and Neuropharmacology Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesItalyCanada
In The Last Decade
Nikhil M. Urs
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 761
- Cellular and Molecular Neuroscience 586
- Physiology 143
- Endocrine and Autonomic Systems 95
- Neurology 87
Countries citing papers authored by Nikhil M. Urs
This map shows the geographic impact of Nikhil M. Urs'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 Nikhil M. Urs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil M. Urs more than expected).
Fields of papers citing papers by Nikhil M. Urs
This network shows the impact of papers produced by Nikhil M. Urs. 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 Nikhil M. Urs. The network helps show where Nikhil M. Urs may publish in the future.
Co-authorship network of co-authors of Nikhil M. Urs
This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil M. Urs. A scholar is included among the top collaborators of Nikhil M. Urs 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 Nikhil M. Urs. Nikhil M. Urs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Separate gut-brain circuits for fat and sugar reinforcement combine to promote overeatingbreakdown → | 46 |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 16 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 94 | |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 60 | |
| 17 | 20 | |
| 18 | 68 | |
| 19 | 87 | |
| 20 | 19 |
About Nikhil M. Urs
Nikhil M. Urs is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (586 citations), Biological Psychiatry (54 citations) and Endocrine and Autonomic Systems (95 citations). Nikhil M. Urs has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Marc G. Caron, Sean M. Peterson, Tanya L. Daigle, Joshua C. Snyder, Raul R. Gainetdinov, Caroline E. Bass, Tama Evron, Thomas F. Pack, Harish Radhakrishna and Jacob P. R. Jacobsen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.