Fajun Nan

6.2k citations
141 papers · 4.1k indexed · 1 hit paper · h-index 32
Topics
Peptidase Inhibition and Analysis (16 papers)Metabolism, Diabetes, and Cancer (13 papers)Neuroscience and Neuropharmacology Research (12 papers)

In The Last Decade

Fajun Nan

136 papers receiving 4.1k citations

Hit Papers

The Arabidopsis CORONATINE INSENSITIVE1 Protein Is a Jasm...20092026201420202009200400600

Peers

Fajun Nan
Comparison fields: 5 of 117
  • Molecular Biology 2.2k
  • Plant Science 822
  • Organic Chemistry 751
  • Insect Science 442
  • Oncology 427
Replace Yong‐Xian Cheng with:
Yong‐Xian Cheng China
Randall J. Ruch United States
Dong‐Oh Moon South Korea
Debashis Ghosh United States
Shing‐Chuan Shen Taiwan
Yoongho Lim South Korea
Takeshi Kumagai Japan
Bang Luu France
Philip M. Potter United States
Léandros Skaltsounis Greece
Fajun Nan relative to Yong‐Xian Cheng China Yong‐Xian Cheng's profile →
Citations per field
00.5×3.4×
Yong‐Xian Cheng · 1×
Citations per year

Countries citing papers authored by Fajun Nan

Since Specialization
Citations

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

Fields of papers citing papers by Fajun Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fajun Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Fajun Nan. A scholar is included among the top collaborators of Fajun Nan 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 Fajun Nan. Fajun Nan 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 29
2 21
3 32
4 1
5 32
6 7
7 11
8 9
9 77
10 8
11 29
12 20
13 19
14 46
15
The Arabidopsis CORONATINE INSENSITIVE1 Protein Is a Jasmonate Receptor breakdown →
641
16 5
17 22
18 143
19 2
20 30

About Fajun Nan

Fajun Nan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 141 papers that have together received 4.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (16 papers), Metabolism, Diabetes, and Cancer (13 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Insect Science (442 citations), Molecular Biology (2.2k citations) and Organic Chemistry (751 citations). Fajun Nan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jia Li, Min Gu, Jing-Ya Li, Daoxin Xie, Jianbin Yan, Tao Pang, Alan P. Kozikowski, Chi Zhang, Zhao Wang and Weiguo Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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

Rankless by CCL
2026