Sudha M. Cowsik
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism
- Physiology
- Pharmacology
- Co-authors
- Najma Zaheer BaquerAnil K. ManthaK. MoorthyDeepak SharmaAndrew M. LynnAllyn C. HowlettR.K. KalePardeep Kumar
- Topics
- Neuropeptides and Animal Physiology (19 papers)Receptor Mechanisms and Signaling (15 papers)Chemical Synthesis and Analysis (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaBiochemistryBiophysical Journal
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Sudha M. Cowsik
30 papers receiving 513 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 269
- Cellular and Molecular Neuroscience 245
- Endocrinology, Diabetes and Metabolism 82
- Physiology 70
- Pharmacology 62
Countries citing papers authored by Sudha M. Cowsik
This map shows the geographic impact of Sudha M. Cowsik'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 Sudha M. Cowsik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha M. Cowsik more than expected).
Fields of papers citing papers by Sudha M. Cowsik
This network shows the impact of papers produced by Sudha M. Cowsik. 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 Sudha M. Cowsik. The network helps show where Sudha M. Cowsik may publish in the future.
Co-authorship network of co-authors of Sudha M. Cowsik
This figure shows the co-authorship network connecting the top 25 collaborators of Sudha M. Cowsik. A scholar is included among the top collaborators of Sudha M. Cowsik 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 Sudha M. Cowsik. Sudha M. Cowsik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | Age-related changes in membrane fluidity and fluorescence intensity by tachykinin neuropeptide NKB and Aβ (25-35) with 17β estradiol in female rat brain | 0 |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 72 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 22 | |
| 12 | 31 | |
| 13 | 9 | |
| 14 | 23 | |
| 15 | 30 | |
| 16 | 23 | |
| 17 | 16 | |
| 18 | 24 | |
| 19 | 21 | |
| 20 | 6 |
About Sudha M. Cowsik
Sudha M. Cowsik is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 32 papers that have together received 518 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (15 papers) and Chemical Synthesis and Analysis (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Behavioral Neuroscience (36 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Sudha M. Cowsik has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Najma Zaheer Baquer, Anil K. Mantha, K. Moorthy, Deepak Sharma, Andrew M. Lynn, Allyn C. Howlett, R.K. Kale, Pardeep Kumar, Asia Taha and Heinz Rüterjans. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemistry and Biophysical Journal.
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.