Yi Gan

1.5k citations
14 papers · 332 · h-index 9

Impact in

Papers in

    • Catalytic C–H Functionalization Methods 7
    • Catalytic Cross-Coupling Reactions 5
    • Catalytic Alkyne Reactions 3
    • Cyclopropane Reaction Mechanisms 2
    • Pluripotent Stem Cells Research 3
    • CRISPR and Genetic Engineering 3

Yi Gan

14 papers receiving 326 citations

Peers

Yi Gan
Comparison fields: 5 of 44
  • Organic Chemistry 218
  • Process Chemistry and Technology 12
  • Inorganic Chemistry 49
  • Pharmaceutical Science 13
  • Molecular Biology 126
Replace Takuya Takeda with:
Takuya Takeda Japan
Sandeep Vemula India
Fui‐Fong Yong Singapore
Frédéric Miege France
Zhefan Zhang China
Yuqing Guan China
Morgan M. Walker United States
Simon P. Mutton United Kingdom
Hirotsugu Suzuki Japan
Laurent Debien France
Yi Gan relative to Takuya Takeda Japan Takuya Takeda's profile →
Citations per field
00.5×
Takuya Takeda · 1×
Citations per year

Countries citing papers authored by Yi Gan

Since Specialization
Citations

This map shows the geographic impact of Yi Gan'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 Yi Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Gan more than expected).

Fields of papers citing papers by Yi Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Gan. 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 Yi Gan. The network helps show where Yi Gan may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi Gan, 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 Yi Gan Line = papers co-authored together Yi Gan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201672
2 201046
3 201840
4 200837
5 202031
6 201929
7 201825
8 201520
9 202115
10 20206
11 20246
12 20172
13 20092
14 20081

About Yi Gan

Yi Gan is a scholar working on Organic Chemistry, Molecular Biology, Biomedical Engineering, Public Health, Environmental and Occupational Health and Inorganic Chemistry, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (7 papers), Catalytic Cross-Coupling Reactions (5 papers), Pluripotent Stem Cells Research (3 papers), Catalytic Alkyne Reactions (3 papers), CRISPR and Genetic Engineering (3 papers), Cyclopropane Reaction Mechanisms (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Organic Chemistry (218 citations), Process Chemistry and Technology (12 citations), Inorganic Chemistry (49 citations), Pharmaceutical Science (13 citations) and Molecular Biology (126 citations). Yi Gan has collaborated with scholars based in China and Japan. Frequent co-authors include Yuanhong Liu, Gaonan Wang, Xin Xie, Hui Hu, Wei Xu, Jianyong Xu, Duanqing Pei, Lingwen Zeng, Wenzhi He and Dajiang Qin. Their work appears in journals such as Organic Letters, The Journal of Organic Chemistry, Journal of Biological Chemistry, Chinese Journal of Chemistry and Cell Research.

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.

Explore authors with similar magnitude of impact