Lihao Ge
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Lipid Membrane Structure and Behavior 5
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- Neuroscience and Neuropharmacology Research 4
- Photoreceptor and optogenetics research 3
- Co-authors
- Wonchul Shin (5 shared papers)Gianvito Arpino (5 shared papers)Edaeni Hamid (2 shared papers)Seth A. Villarreal (1 shared paper)Huisheng Liu (1 shared paper)Peter J. Wen (1 shared paper)Hsueh‐Cheng Chiang (1 shared paper)Ling-Gang Wu (1 shared paper)
- Journals
- Neuroreport (2 papers)iScience (1 paper)Acta Pharmacologica Sinica (1 paper)Neuroscience (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Lihao Ge
18 papers receiving 387 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 167
- Biophysics 38
- Structural Biology 9
- Cellular and Molecular Neuroscience 102
- Molecular Biology 269
Countries citing papers authored by Lihao Ge
This map shows the geographic impact of Lihao Ge'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 Lihao Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lihao Ge more than expected).
Fields of papers citing papers by Lihao Ge
This network shows the impact of papers produced by Lihao Ge. 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 Lihao Ge. The network helps show where Lihao Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Lihao Ge, 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 | 2018 | 153 | |
| 2 | 2019 | 70 | |
| 3 | 2020 | 33 | |
| 4 | 2016 | 28 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2014 | 17 | |
| 8 | 2022 | 10 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2007 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Lihao Ge
Lihao Ge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Cancer Research, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Photoreceptor and optogenetics research (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Dendrimers and Hyperbranched Polymers (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Cell Biology (167 citations), Biophysics (38 citations), Structural Biology (9 citations), Cellular and Molecular Neuroscience (102 citations) and Molecular Biology (269 citations). Lihao Ge has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Wonchul Shin, Gianvito Arpino, Edaeni Hamid, Seth A. Villarreal, Huisheng Liu, Peter J. Wen, Hsueh‐Cheng Chiang, Ling-Gang Wu, Ling‐Gang Wu and Lisi Wei. Their work appears in journals such as Neuroreport, iScience, Acta Pharmacologica Sinica, Neuroscience and Cell Reports.
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.