Guang‐Bo Ge
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Cholinesterase and Neurodegenerative Diseases
- Pharmacological Effects of Natural Compounds
Papers in
- Pharmacology 119
- Pharmacogenetics and Drug Metabolism 90
- Cholinesterase and Neurodegenerative Diseases 45
- Pharmacological Effects of Natural Compounds 28
- Drug-Induced Hepatotoxicity and Protection 16
-
- Computational Drug Discovery Methods 46
- Co-authors
- Ling YangJie HouQiang JinLi‐Wei ZouLei FengJingnan CuiJing NingPing Wang
- Journals
- International Journal of Biological Macromolecules (11 papers)Phytomedicine (10 papers)Drug Metabolism and Disposition (9 papers)RSC Advances (9 papers)Fitoterapia (9 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Guang‐Bo Ge
277 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Pharmacology 2.0k
- Pharmacology 1.7k
- Complementary and alternative medicine 563
- Biochemistry 470
- Computational Theory and Mathematics 991
Countries citing papers authored by Guang‐Bo Ge
This map shows the geographic impact of Guang‐Bo 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 Guang‐Bo Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang‐Bo Ge more than expected).
Fields of papers citing papers by Guang‐Bo Ge
This network shows the impact of papers produced by Guang‐Bo 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 Guang‐Bo Ge. The network helps show where Guang‐Bo Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Guang‐Bo 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 | 2025 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 23 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 84 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 152 | |
| 18 | 2017 | 5 | |
| 19 | 2017 | 43 | |
| 20 | 2016 | 24 |
About Guang‐Bo Ge
Guang‐Bo Ge is a scholar working on Pharmacology, Pharmacology, Computational Theory and Mathematics, Complementary and alternative medicine and Oncology, having authored 287 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (90 papers), Computational Drug Discovery Methods (46 papers), Cholinesterase and Neurodegenerative Diseases (45 papers), Drug Transport and Resistance Mechanisms (37 papers), Pharmacological Effects of Natural Compounds (28 papers), Cancer therapeutics and mechanisms (19 papers), Drug-Induced Hepatotoxicity and Protection (16 papers) and Electrochemical sensors and biosensors (13 papers). The work is most often cited by research in Pharmacology (2.0k citations), Pharmacology (1.7k citations), Complementary and alternative medicine (563 citations), Biochemistry (470 citations) and Computational Theory and Mathematics (991 citations). Guang‐Bo Ge has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Ling Yang, Jie Hou, Qiang Jin, Li‐Wei Zou, Lei Feng, Jingnan Cui, Jing Ning, Ping Wang, Jie Hou and Yun‐Feng Cao. Their work appears in journals such as International Journal of Biological Macromolecules, Phytomedicine, Drug Metabolism and Disposition, RSC Advances and Fitoterapia.
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.