Guhan Nagappan
- Cellular and Molecular Neuroscience top 1%
- Developmental Neuroscience top 0.5%
- Molecular Biology top 10%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Bai LuYuan LüPradeep J. NathanXiao-Ming GuanPaul WrenBarbara L. HempsteadJianmin YangYuanyuan Ji
- Topics
- Nerve injury and regeneration (14 papers)Neuroscience and Neuropharmacology Research (10 papers)Neurogenesis and neuroplasticity mechanisms (10 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Guhan Nagappan
19 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 1.8k
- Developmental Neuroscience 939
- Molecular Biology 828
- Physiology 503
- Neurology 453
Countries citing papers authored by Guhan Nagappan
This map shows the geographic impact of Guhan Nagappan'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 Guhan Nagappan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guhan Nagappan more than expected).
Fields of papers citing papers by Guhan Nagappan
This network shows the impact of papers produced by Guhan Nagappan. 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 Guhan Nagappan. The network helps show where Guhan Nagappan may publish in the future.
Co-authorship network of co-authors of Guhan Nagappan
This figure shows the co-authorship network connecting the top 25 collaborators of Guhan Nagappan. A scholar is included among the top collaborators of Guhan Nagappan 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 Guhan Nagappan. Guhan Nagappan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 83 | |
| 3 | 59 | |
| 4 | 23 | |
| 5 | BDNF and Synaptic Plasticity, Cognitive Function, and Dysfunctionbreakdown → | 794 |
| 6 | BDNF-based synaptic repair as a disease-modifying strategy for neurodegenerative diseasesbreakdown → | 601 |
| 7 | 102 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 148 | |
| 11 | 65 | |
| 12 | 13 | |
| 13 | 157 | |
| 14 | 351 | |
| 15 | 102 | |
| 16 | 217 | |
| 17 | 26 | |
| 18 | 41 | |
| 19 | 227 |
About Guhan Nagappan
Guhan Nagappan is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 19 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). The work is most often cited by research in Developmental Neuroscience (939 citations), Cellular and Molecular Neuroscience (1.8k citations) and Biological Psychiatry (201 citations). Guhan Nagappan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bai Lu, Yuan Lü, Pradeep J. Nathan, Xiao-Ming Guan, Paul Wren, Barbara L. Hempstead, Jianmin Yang, Yuanyuan Ji, Feng Yang and Eugene Zaitsev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.