Li‐Hai Fan

1.2k citations
44 papers · 941 indexed · h-index 19
Topics
Microbial Metabolic Engineering and Bioproduction (14 papers)Biofuel production and bioconversion (11 papers)Diet, Metabolism, and Disease (10 papers)

In The Last Decade

Li‐Hai Fan

42 papers receiving 925 citations

Peers

Li‐Hai Fan
Comparison fields: 5 of 88
  • Molecular Biology 619
  • Biomedical Engineering 440
  • Biotechnology 96
  • Endocrinology, Diabetes and Metabolism 88
  • Materials Chemistry 85
Replace Suwan Myung with:
Suwan Myung United States
Isamayra Germano de Sousa Brazil
Joseph A. Rollin United States
Tunçer H. Özdamar Türkiye
Y.-H. Percival Zhang United States
Kris Niño G. Valdehuesa South Korea
Francisco Thálysson Tavares Cavalcante Brazil
Sujin Kim South Korea
Jeong Eun Hyeon South Korea
Kristine Rose M. Ramos South Korea
Li‐Hai Fan relative to Suwan Myung United States Suwan Myung's profile →
Citations per field
00.5×11×
Suwan Myung · 1×
Citations per year

Countries citing papers authored by Li‐Hai Fan

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Hai Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Hai Fan. 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 Li‐Hai Fan. The network helps show where Li‐Hai Fan may publish in the future.

Co-authorship network of co-authors of Li‐Hai Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Hai Fan. A scholar is included among the top collaborators of Li‐Hai Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Hai Fan. Li‐Hai Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 7
4 5
5 10
6 3
7 17
8 8
9 3
10 30
11 40
12 31
13 7
14 73
15 13
16 25
17 30
18 143
19 58
20 15

About Li‐Hai Fan

Li‐Hai Fan is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Biomedical Engineering, having authored 44 papers that have together received 941 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Biofuel production and bioconversion (11 papers) and Diet, Metabolism, and Disease (10 papers). The work is most often cited by research in Biotechnology (96 citations), Biomedical Engineering (440 citations) and Molecular Biology (619 citations). Li‐Hai Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tianwei Tan, Zijian Zhang, Xiaoyu Yu, Huanlin Chen, Meng Wang, Miaomiao Wang, Shang‐Tian Yang, Huidong Zheng, Yunjie Li and Miaomiao Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Scientific 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.

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