Hai Li
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
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- Neural dynamics and brain function
Papers in
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- Photoreceptor and optogenetics research 16
- Neuroscience and Neuropharmacology Research 10
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- Nicotinic Acetylcholine Receptors Study 7
- bioluminescence and chemiluminescence research 3
- Co-authors
- John L. Spudich (15 shared papers)Oleg A. Sineshchekov (12 shared papers)Elena G. Govorunova (12 shared papers)Leonid S. Brown (6 shared papers)Yumei Wang (6 shared papers)Jihong Wang (1 shared paper)Hongguo Wei (1 shared paper)Holly K. Osburn (1 shared paper)
- Journals
- Nature Communications (2 papers)mBio (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hai Li
24 papers receiving 693 citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 521
- Cognitive Neuroscience 102
- Molecular Biology 317
- Aging 6
- Endocrine and Autonomic Systems 22
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 269 | |
| 2 | 2022 | 74 | |
| 3 | 2013 | 53 | |
| 4 | 2020 | 47 | |
| 5 | 2015 | 40 | |
| 6 | 2021 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 25 | |
| 9 | 2020 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2023 | 15 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 4 | |
| 18 | Polypores from Bawangling Nature Reserve,Hainan Province | 2010 | 4 |
| 19 | 2020 | 4 | |
| 20 | 2023 | 3 |
About Hai Li
Hai Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Cognitive Neuroscience and Atmospheric Science, having authored 27 papers that have together received 695 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (16 papers), Neuroscience and Neuropharmacology Research (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Precipitation Measurement and Analysis (3 papers), bioluminescence and chemiluminescence research (3 papers), Molecular Communication and Nanonetworks (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (521 citations), Cognitive Neuroscience (102 citations), Molecular Biology (317 citations), Aging (6 citations) and Endocrine and Autonomic Systems (22 citations). Hai Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John L. Spudich, Oleg A. Sineshchekov, Elena G. Govorunova, Leonid S. Brown, Yumei Wang, Jihong Wang, Hongguo Wei, Holly K. Osburn, Hung‐Du Lin and Shaoxiong Ding. Their work appears in journals such as Nature Communications, mBio, eLife, Proceedings of the National Academy of Sciences and Biophysical Journal.
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.