C. Sadasivan
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Computational Drug Discovery Methods 21
- Pharmacology 20
- Cholinesterase and Neurodegenerative Diseases 13
- Co-authors
- K.V. DileepM. HaridasKarthe PonnurajPradeep K. MandalM. LakshmananChandran RemyaC. S. SharanyaVivien C. Yee
- Journals
- Journal of Biomolecular Structure and Dynamics (9 papers)International Journal of Biological Macromolecules (6 papers)Applied Biochemistry and Biotechnology (4 papers)Molecular Simulation (3 papers)Medicinal Chemistry Research (2 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
C. Sadasivan
80 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Biochemistry 114
- Pharmacology 162
- Complementary and alternative medicine 145
- Pharmacology 290
- Computational Theory and Mathematics 212
Countries citing papers authored by C. Sadasivan
This map shows the geographic impact of C. Sadasivan'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. Sadasivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Sadasivan more than expected).
Fields of papers citing papers by C. Sadasivan
This network shows the impact of papers produced by C. Sadasivan. 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. Sadasivan. The network helps show where C. Sadasivan may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Sadasivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 49 | |
| 8 | 2016 | 21 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 5 | |
| 13 | 2012 | 17 | |
| 14 | 2011 | 5 | |
| 15 | 2011 | 32 | |
| 16 | 2011 | 14 | |
| 17 | 2009 | 15 | |
| 18 | 2008 | 6 | |
| 19 | 2000 | 48 | |
| 20 | 1998 | 25 |
About C. Sadasivan
C. Sadasivan is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Medicine, Toxicology and Biotechnology, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Cholinesterase and Neurodegenerative Diseases (13 papers), Synthesis and biological activity (7 papers), Glycosylation and Glycoproteins Research (7 papers), Natural Antidiabetic Agents Studies (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Biochemistry (114 citations), Pharmacology (162 citations), Complementary and alternative medicine (145 citations), Pharmacology (290 citations) and Computational Theory and Mathematics (212 citations). C. Sadasivan has collaborated with scholars based in India, United States and Japan. Frequent co-authors include K.V. Dileep, M. Haridas, Karthe Ponnuraj, Pradeep K. Mandal, M. Lakshmanan, Chandran Remya, C. S. Sharanya, Vivien C. Yee, Dileep Francis and N. Gautham. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Applied Biochemistry and Biotechnology, Molecular Simulation and Medicinal Chemistry Research.
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.