Guang‐Bo Ge

9.1k citations
287 papers · 7.5k indexed · 2 hit papers · h-index 48

Impact in

Papers in

    • 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

Guang‐Bo Ge

277 papers receiving 7.4k citations

Hit Papers

The SARS‐CoV‐2 main protease (Mpro): Structure, function, and emerging therapies for COVID‐19 2022 · 149 citations
1492018202620202023100200300

Peers

Guang‐Bo Ge
Comparison fields: 5 of 139
  • Pharmacology 2.0k
  • Pharmacology 1.7k
  • Complementary and alternative medicine 563
  • Biochemistry 470
  • Computational Theory and Mathematics 991
Replace Su Zeng with:
Su Zeng China
Ling‐Yi Kong China
Daniela Schuster Austria
Amit S. Kalgutkar United States
Thomas Walle United States
Vladimir Poroikov Russia
Li Di United States
Costas Ioannides United Kingdom
Xiaokui Huo China
Edward H. Kerns United States
Guang‐Bo Ge relative to Su Zeng China Su Zeng's profile →
Citations per field
00.5×3.3×
Su Zeng · 1×
Citations per year

Countries citing papers authored by Guang‐Bo Ge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guang‐Bo Ge Line = papers co-authored together Guang‐Bo Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20251
3 20244
4 20243
5 20241
6 20239
7 20236
8 202316
9 20238
10 20224
11 202130
12 202113
13 202023
14 201910
15 201984
16 20193
17 2018152
18 20175
19 201743
20 201624

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.

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