C.S. Paulose
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Complementary and alternative medicine top 0.5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- K. DakshinamurtiT.R. AnjuMohan S. NandhuJayanarayanan SadanandanRam K. MishraJobin MathewSherin AntonyGireesh Gangadharan
- Topics
- Neuroscience and Neuropharmacology Research (55 papers)Medicinal Plants and Neuroprotection (18 papers)Pancreatic function and diabetes (18 papers)
- Cited by
- Complementary and alternative medicineCellular and Molecular NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- IndiaCanadaSaudi Arabia
In The Last Decade
C.S. Paulose
118 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 655
- Molecular Biology 559
- Complementary and alternative medicine 446
- Physiology 422
- Endocrinology, Diabetes and Metabolism 388
Countries citing papers authored by C.S. Paulose
This map shows the geographic impact of C.S. Paulose'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 C.S. Paulose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.S. Paulose more than expected).
Fields of papers citing papers by C.S. Paulose
This network shows the impact of papers produced by C.S. Paulose. 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 C.S. Paulose. The network helps show where C.S. Paulose may publish in the future.
Co-authorship network of co-authors of C.S. Paulose
This figure shows the co-authorship network connecting the top 25 collaborators of C.S. Paulose. A scholar is included among the top collaborators of C.S. Paulose 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 C.S. Paulose. C.S. Paulose 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 | 66 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 37 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 40 | |
| 11 | 44 | |
| 12 | 9 | |
| 13 | 57 | |
| 14 | 12 | |
| 15 | 30 | |
| 16 | Polyunsaturated fatty acids (PUFA) regulate neurotransmitter contents in rat brain. | 2 |
| 17 | 29 | |
| 18 | 19 | |
| 19 | Platelet Monoamine Changes In Diabetic Patients and Streptozotocin Induced Diabetic Rats | 12 |
| 20 | 17 |
About C.S. Paulose
C.S. Paulose is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Complementary and alternative medicine, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (55 papers), Medicinal Plants and Neuroprotection (18 papers) and Pancreatic function and diabetes (18 papers). The work is most often cited by research in Complementary and alternative medicine (446 citations), Cellular and Molecular Neuroscience (655 citations) and Endocrine and Autonomic Systems (238 citations). C.S. Paulose has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include K. Dakshinamurti, T.R. Anju, Mohan S. Nandhu, Jayanarayanan Sadanandan, Ram K. Mishra, Jobin Mathew, Sherin Antony, Gireesh Gangadharan, T. Peeyush Kumar and Kumar T. Peeyush. Their work appears in journals such as Science, Brain Research and Annals of the New York Academy of Sciences.
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.