Junli Fan

2.4k citations
20 papers · 1.5k · 1 hit paper · h-index 12

Impact in

Papers in

Junli Fan

19 papers receiving 1.5k citations

Junli Fan's Hit Papers

Antibodies in Infants Born to Mothers With COVID-19 Pneumonia 2020 · 579 citations
5790+2+4Years since publication100200300400500

Peers

Junli Fan
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 496
  • Infectious Diseases 610
  • Neurology 123
  • Cancer Research 122
  • Oncology 161
Replace Min Wei with:
Min Wei China
Nancy Q. Zhao United States
Yu Gong China
Feifan Xiao China
Fanny Bajolle France
Inbal Goldshtein Israel
Encong Gong China
Zhiwei Li China
Long Rong China
Wenxiong Xu China
Junli Fan relative to Min Wei China Min Wei's profile →
Citations per field
00.5×2×2.9×
Min Wei · 1×
Citations per year

Countries citing papers authored by Junli Fan

Since Specialization
Citations

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

Fields of papers citing papers by Junli Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Antibodies in Infants Born to Mothers With COVID-19 Pneumonia
Hit paper breakdown →
2020579
2 2020343
3 2020263
4 202382
5 201551
6 201643
7 201836
8 201828
9 202125
10 202021
11 202115
12 202013
13 20229
14 20209
15 20216
16
Vascular endothelial growth factor polymorphisms and lung cancer risk.
20156
17 20253
18
MDM2 T309G polymorphism and esophageal cancer risk: a meta-analysis.
20153
19 20242
20 20110

About Junli Fan

Junli Fan is a scholar working on Infectious Diseases, Molecular Biology, Oncology, Cancer Research and Neurology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), RNA modifications and cancer (3 papers), SARS-CoV-2 detection and testing (2 papers), Cancer-related Molecular Pathways (2 papers), Long-Term Effects of COVID-19 (2 papers), MicroRNA in disease regulation (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Obstetrics and Gynecology (496 citations), Infectious Diseases (610 citations), Neurology (123 citations), Cancer Research (122 citations) and Oncology (161 citations). Junli Fan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xinghua Long, Yueting Tang, Hui Zeng, Xu Chen, Wei Zhang, Qiaoling Deng, Yongxi Zhang, Haizhou Wang, Qiu Zhao and Fan Wang. Their work appears in journals such as Gastroenterology, Biochemical and Biophysical Research Communications, Biochemical Pharmacology, Frontiers in Oncology and Epidemiology and Infection.

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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