Jun An
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in ⓘ
- Co-authors
- Junhang Zhang (8 shared papers)Hairong Huang (3 shared papers)Wei Shu (3 shared papers)Yu Pang (5 shared papers)Shibing Qin (3 shared papers)Mengqiu Gao (3 shared papers)Naihui Chu (3 shared papers)Fengmin Huo (2 shared papers)
- Journals
- Poultry Science (2 papers)Scientific Reports (2 papers)Frontiers in Public Health (2 papers)European Journal of Clinical Microbiology & Infectious Diseases (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun An
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 227
- Cancer Research 132
- Immunology 143
- Molecular Biology 401
- Biological Psychiatry 14
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 188 | |
| 2 | 2015 | 96 | |
| 3 | 2015 | 50 | |
| 4 | 2012 | 48 | |
| 5 | 2015 | 44 | |
| 6 | 2018 | 43 | |
| 7 | 2017 | 42 | |
| 8 | 2011 | 40 | |
| 9 | 2017 | 40 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 28 | |
| 13 | 2012 | 24 | |
| 14 | 2015 | 23 | |
| 15 | 2008 | 22 | |
| 16 | 2010 | 22 | |
| 17 | 2014 | 21 | |
| 18 | 2018 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2017 | 19 |
About Jun An
Jun An is a scholar working on Microbiology, Research and Theory, Leadership and Management, Issues, ethics and legal aspects and Immunology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), RNA modifications and cancer (5 papers), Infectious Diseases and Tuberculosis (5 papers), Mycobacterium research and diagnosis (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Lung Cancer Treatments and Mutations (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Infectious Diseases (227 citations), Cancer Research (132 citations), Immunology (143 citations), Molecular Biology (401 citations) and Biological Psychiatry (14 citations). Jun An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Junhang Zhang, Hairong Huang, Wei Shu, Yu Pang, Shibing Qin, Mengqiu Gao, Naihui Chu, Fengmin Huo, Xiaoyou Chen and Shaofa Xu. Their work appears in journals such as Poultry Science, Scientific Reports, Frontiers in Public Health, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Clinical Oncology.
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.