Jun Fan

27 papers receiving 617 citations

Jun Fan's Hit Papers

Pathological Findings in the Testes of COVID-19 Patients: Clinical Implications 2020 · 303 citations
3030+2+4Years since publication100200300

Peers

Jun Fan
Comparison fields: 5 of 92
  • Obstetrics and Gynecology 195
  • Biological Psychiatry 14
  • Infectious Diseases 89
  • Reproductive Medicine 39
  • Nutrition and Dietetics 69
Replace Ji Hyae Lim with:
Ji Hyae Lim South Korea
Constanza Morén Spain
Xian Xia China
Alessio Basolo Italy
Alison Davies United Kingdom
Moutaz Aziz France
Quanlong Jiang China
Nadejda Bozadjieva-Kramer United States
Jun Fan relative to Ji Hyae Lim South Korea Ji Hyae Lim's profile →
Citations per field
00.5×4.7×
Ji Hyae Lim · 1×
Citations per year

Countries citing papers authored by Jun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pathological Findings in the Testes of COVID-19 Patients: Clinical Implications
Hit paper breakdown →
2020303
2 201849
3 200930
4 200827
5 201426
6 201421
7 201715
8 201615
9
Cloning and sequence analysis of maize FAD2 gene.
200615
10 202214
11 200914
12 201913
13 201513
14 202013
15 200911
16 202210
17 202210
18 20237
19 20224
20 20214

About Jun Fan

Jun Fan is a scholar working on Nutrition and Dietetics, Surgery, Molecular Biology, Biological Psychiatry and Rheumatology, having authored 28 papers that have together received 632 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (7 papers), Tryptophan and brain disorders (3 papers), Pancreatic function and diabetes (2 papers), DNA Repair Mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Obstetrics and Gynecology (195 citations), Biological Psychiatry (14 citations), Infectious Diseases (89 citations), Reproductive Medicine (39 citations) and Nutrition and Dietetics (69 citations). Jun Fan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Knarik Arkun, Xiu Nie, Bo Huang, Xiang Li, Qin Cao, Lin Ma, Ya-jun Chen, Jun He, Shuo Chen and Ming Zhou. Their work appears in journals such as Nutrition, Burns, Scientific Reports, Journal of Neuroscience and PLoS neglected tropical diseases.

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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