Jun Fan
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
Papers in
-
- Clinical Nutrition and Gastroenterology 7
-
- Burn Injury Management and Outcomes 5
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Nie Xiu (3 shared papers)Bo Huang (4 shared papers)Qin Cao (2 shared papers)Danju Luo (2 shared papers)Xiang Li (1 shared paper)Hua Su (1 shared paper)Shuo Chen (1 shared paper)Ya-jun Chen (1 shared paper)
- Journals
- Burns (3 papers)Nutrition (3 papers)Canadian Respiratory Journal (1 paper)Frontiers in Aging Neuroscience (1 paper)European Urology Focus (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jun Fan
30 papers receiving 1.1k citations
Jun Fan's Hit Papers
Peers
Comparison fields: 5 of 91
- Infectious Diseases 353
- Obstetrics and Gynecology 168
- Reproductive Medicine 174
- Biological Psychiatry 7
- General Dentistry 2
Countries citing papers authored by Jun Fan
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 334 | |
| 2 | Multi-organ proteomic landscape of COVID-19 autopsies Hit paper breakdown → | 2021 | 330 |
| 3 | 2020 | 86 | |
| 4 | 2018 | 52 | |
| 5 | 2009 | 30 | |
| 6 | 2008 | 28 | |
| 7 | 2014 | 28 | |
| 8 | 2014 | 22 | |
| 9 | 2009 | 16 | |
| 10 | Cloning and sequence analysis of maize FAD2 gene. | 2006 | 15 |
| 11 | 2016 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2019 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2009 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 8 |
About Jun Fan
Jun Fan is a scholar working on Nutrition and Dietetics, Epidemiology, Endocrine and Autonomic Systems, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (7 papers), Burn Injury Management and Outcomes (5 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), Regulation of Appetite and Obesity (2 papers), Inflammasome and immune disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Infectious Diseases (353 citations), Obstetrics and Gynecology (168 citations), Reproductive Medicine (174 citations), Biological Psychiatry (7 citations) and General Dentistry (2 citations). Jun Fan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Nie Xiu, Bo Huang, Qin Cao, Danju Luo, Xiang Li, Hua Su, Shuo Chen, Ya-jun Chen, Knarik Arkun and Ming Zhou. Their work appears in journals such as Burns, Nutrition, Canadian Respiratory Journal, Frontiers in Aging Neuroscience and European Urology Focus.
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.