Nidhi Kaushal
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Biological Psychiatry top 5%
- Pharmacology
- Organic Chemistry
- Co-authors
- Rae R. MatsumotoLinda NguyenMatthew J. RobsonChristopher R. McCurdyShona A. MookerjeeBrandon Lucke‐WoldJamaluddin ShaikhMichael J. Seminerio
- Topics
- Receptor Mechanisms and Signaling (15 papers)Pharmacological Receptor Mechanisms and Effects (14 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Journals
- The FASEB JournalJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
Nidhi Kaushal
17 papers receiving 496 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 390
- Cellular and Molecular Neuroscience 216
- Biological Psychiatry 76
- Pharmacology 72
- Organic Chemistry 47
Countries citing papers authored by Nidhi Kaushal
This map shows the geographic impact of Nidhi Kaushal'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 Nidhi Kaushal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidhi Kaushal more than expected).
Fields of papers citing papers by Nidhi Kaushal
This network shows the impact of papers produced by Nidhi Kaushal. 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 Nidhi Kaushal. The network helps show where Nidhi Kaushal may publish in the future.
Co-authorship network of co-authors of Nidhi Kaushal
This figure shows the co-authorship network connecting the top 25 collaborators of Nidhi Kaushal. A scholar is included among the top collaborators of Nidhi Kaushal 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 Nidhi Kaushal. Nidhi Kaushal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 24 | |
| 3 | 21 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 93 | |
| 7 | 34 | |
| 8 | 42 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 21 | |
| 12 | 41 | |
| 13 | 29 | |
| 14 | 20 | |
| 15 | 34 | |
| 16 | 28 | |
| 17 | 21 | |
| 18 | 46 | |
| 19 | 3 |
About Nidhi Kaushal
Nidhi Kaushal is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Molecular Biology, having authored 19 papers that have together received 501 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Pharmacological Receptor Mechanisms and Effects (14 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Cellular and Molecular Neuroscience (216 citations) and Molecular Biology (390 citations). Nidhi Kaushal has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Rae R. Matsumoto, Linda Nguyen, Matthew J. Robson, Christopher R. McCurdy, Shona A. Mookerjee, Brandon Lucke‐Wold, Jamaluddin Shaikh, Michael J. Seminerio, Christophe Mésangeau and Sanju Narayanan. Their work appears in journals such as The FASEB Journal, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental 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.