Hai Li
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Photoreceptor and optogenetics research 17
- Neuroscience and Neuropharmacology Research 10
-
- Nicotinic Acetylcholine Receptors Study 7
- bioluminescence and chemiluminescence research 4
- Co-authors
- John L. Spudich (16 shared papers)Elena G. Govorunova (13 shared papers)Oleg A. Sineshchekov (13 shared papers)Leonid S. Brown (7 shared papers)Yumei Wang (6 shared papers)Hongguo Wei (1 shared paper)Holly K. Osburn (1 shared paper)Jihong Wang (1 shared paper)
- Journals
- eLife (3 papers)mBio (2 papers)Biophysical Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hai Li
24 papers receiving 746 citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 563
- Cognitive Neuroscience 104
- Molecular Biology 331
- Endocrine and Autonomic Systems 25
- Aging 6
Countries citing papers authored by Hai Li
This map shows the geographic impact of Hai Li'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 Hai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Li more than expected).
Fields of papers citing papers by Hai Li
This network shows the impact of papers produced by Hai Li. 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 Hai Li. The network helps show where Hai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 284 | |
| 2 | 2022 | 84 | |
| 3 | 2013 | 56 | |
| 4 | 2020 | 48 | |
| 5 | 2021 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2018 | 26 | |
| 9 | 2020 | 21 | |
| 10 | 2021 | 21 | |
| 11 | 2023 | 18 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 11 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2020 | 5 |
About Hai Li
Hai Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Biomedical Engineering and Cognitive Neuroscience, having authored 28 papers that have together received 754 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (17 papers), Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers), bioluminescence and chemiluminescence research (4 papers), Molecular Communication and Nanonetworks (4 papers), Precipitation Measurement and Analysis (3 papers), Cyberloafing and Workplace Behavior (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (563 citations), Cognitive Neuroscience (104 citations), Molecular Biology (331 citations), Endocrine and Autonomic Systems (25 citations) and Aging (6 citations). Hai Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John L. Spudich, Elena G. Govorunova, Oleg A. Sineshchekov, Leonid S. Brown, Yumei Wang, Hongguo Wei, Holly K. Osburn, Jihong Wang, François St-Pierre and Michael M. Miyamoto. Their work appears in journals such as eLife, mBio, Biophysical Journal, Proceedings of the National Academy of Sciences and Nature Communications.
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.