Sakthikumar Mathivanan
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neural Engineering
Papers in
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- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neural Engineering 2
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- Ion Channels and Receptors 4
- Co-authors
- Antonio Ferrer‐Montiel (4 shared papers)Isabel Devesa (3 shared papers)Jean‐Pierre Changeux (2 shared papers)Anita Bhattacharyya (2 shared papers)Linghai Kong (4 shared papers)Yunlong Tao (2 shared papers)Yuanwei Yan (2 shared papers)Rafael Luján (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell stem cell (1 paper)Frontiers in Pharmacology (1 paper)Membranes (1 paper)Aging Cell (1 paper)
- Partner nations
- SingaporeSpainUnited States
In The Last Decade
Sakthikumar Mathivanan
7 papers receiving 274 citations
Sakthikumar Mathivanan's Hit Papers
Peers
Comparison fields: 5 of 72
- Sensory Systems 115
- Cellular and Molecular Neuroscience 70
- Physiology 80
- Aging 5
- Developmental Neuroscience 10
Countries citing papers authored by Sakthikumar Mathivanan
This map shows the geographic impact of Sakthikumar Mathivanan'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 Sakthikumar Mathivanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakthikumar Mathivanan more than expected).
Fields of papers citing papers by Sakthikumar Mathivanan
This network shows the impact of papers produced by Sakthikumar Mathivanan. 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 Sakthikumar Mathivanan. The network helps show where Sakthikumar Mathivanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sakthikumar Mathivanan, 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 | 2014 | 89 | |
| 2 | 3D bioprinting of human neural tissues with functional connectivity Hit paper breakdown → | 2024 | 64 |
| 3 | 2014 | 52 | |
| 4 | 2016 | 32 | |
| 5 | 2021 | 17 | |
| 6 | 2023 | 14 | |
| 7 | Effect of econazole and benzydamine on sensory neurons in culture. | 2016 | 11 |
| 8 | 2025 | 0 |
About Sakthikumar Mathivanan
Sakthikumar Mathivanan is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include Ion Channels and Receptors (4 papers), Neurobiology and Insect Physiology Research (2 papers), Neuroscience and Neural Engineering (2 papers), Pain Mechanisms and Treatments (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Ion channel regulation and function (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Sensory Systems (115 citations), Cellular and Molecular Neuroscience (70 citations), Physiology (80 citations), Aging (5 citations) and Developmental Neuroscience (10 citations). Sakthikumar Mathivanan has collaborated with scholars based in Singapore, Spain and United States. Frequent co-authors include Antonio Ferrer‐Montiel, Isabel Devesa, Jean‐Pierre Changeux, Anita Bhattacharyya, Linghai Kong, Yunlong Tao, Yuanwei Yan, Rafael Luján, Xiang Li and Su‐Chun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell stem cell, Frontiers in Pharmacology, Membranes and Aging Cell.
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.