Fujun Peng

1.8k citations
22 papers · 1.2k · 1 hit paper · h-index 8

Impact in

Papers in

Fujun Peng

20 papers receiving 1.1k citations

Fujun Peng's Hit Papers

The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China 2020 · 736 citations
7360+2+4Years since publication200400600

Peers

Fujun Peng
Comparison fields: 5 of 143
  • Modeling and Simulation 170
  • Infectious Diseases 476
  • General Dentistry 24
  • Dermatology 88
  • Neurology 146
Replace Jianming Tang with:
Jianming Tang China
Jinlyu Sun China
Xiaofang Zhao China
Peipei Song China
Yongxiang Yi China
Yi Ye China
Hye-Jin Shin South Korea
Ying Yan China
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Fujun Peng relative to Jianming Tang China Jianming Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fujun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Fujun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China
Hit paper breakdown →
2020736
2 2020142
3
Activation of the cyclic AMP pathway by alpha-melanotropin mediates the response of human melanocytes to ultraviolet B radiation.
1998125
4 202066
5 201940
6 202314
7 20249
8 20247
9 20237
10 20226
11 20246
12 20235
13 20244
14 20244
15 20243
16 20233
17 20242
18 20222
19 20212
20 20221

About Fujun Peng

Fujun Peng is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Nephrology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Cancer-related molecular mechanisms research (2 papers), COVID-19 Clinical Research Studies (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA modifications and cancer (2 papers), Autophagy in Disease and Therapy (2 papers), Dialysis and Renal Disease Management (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Modeling and Simulation (170 citations), Infectious Diseases (476 citations), General Dentistry (24 citations), Dermatology (88 citations) and Neurology (146 citations). Fujun Peng has collaborated with scholars based in China and United States. Frequent co-authors include Taijiao Jiang, Runsheng Wang, Guogang Xu, Jinlyu Sun, Yongshi Yang, Christopher Chang, Kai Guan, Peng Hu, Lei Tu and Zalfa Abdel‐Malek. Their work appears in journals such as PeerJ, Journal of Cellular Biochemistry, Oncology Reports, Journal of Autoimmunity and Drug Discovery Today.

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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