Jun An
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 4
- Gut microbiota and health 3
- Kruppel-like factors research 3
- Immunology 10
- Co-authors
- Junhang Zhang (8 shared papers)Naihui Chu (3 shared papers)Mengqiu Gao (3 shared papers)Wei Shu (3 shared papers)Shibing Qin (3 shared papers)Hairong Huang (3 shared papers)Yu Pang (5 shared papers)Fengmin Huo (2 shared papers)
- Journals
- European Archives of Oto-Rhino-Laryngology (2 papers)Scientific Reports (2 papers)Poultry Science (2 papers)Frontiers in Public Health (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun An
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 179
- Cancer Research 117
- Immunology 133
- Biological Psychiatry 14
- Molecular Biology 376
Countries citing papers authored by Jun An
This map shows the geographic impact of Jun An'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 An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun An more than expected).
Fields of papers citing papers by Jun An
This network shows the impact of papers produced by Jun An. 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 An. The network helps show where Jun An may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun An, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 53 | |
| 4 | 2012 | 49 | |
| 5 | 2015 | 45 | |
| 6 | 2017 | 45 | |
| 7 | 2018 | 43 | |
| 8 | 2011 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 29 | |
| 12 | 2017 | 29 | |
| 13 | 2012 | 24 | |
| 14 | 2010 | 24 | |
| 15 | 2015 | 23 | |
| 16 | 2008 | 22 | |
| 17 | 2014 | 22 | |
| 18 | 2018 | 21 | |
| 19 | 2014 | 19 | |
| 20 | 2017 | 19 |
About Jun An
Jun An is a scholar working on Molecular Biology, Immunology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Infectious Diseases and Tuberculosis (5 papers), RNA modifications and cancer (4 papers), Gut microbiota and health (3 papers), Kruppel-like factors research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Mycobacterium research and diagnosis (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Infectious Diseases (179 citations), Cancer Research (117 citations), Immunology (133 citations), Biological Psychiatry (14 citations) and Molecular Biology (376 citations). Jun An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Junhang Zhang, Naihui Chu, Mengqiu Gao, Wei Shu, Shibing Qin, Hairong Huang, Yu Pang, Fengmin Huo, Xiaoyou Chen and Shaofa Xu. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Scientific Reports, Poultry Science, Frontiers in Public Health and European Journal of Clinical Microbiology & Infectious 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.