Jun X. Wheeler
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Endocrinology top 10%
Papers in
- Epidemiology 16
- Pneumonia and Respiratory Infections 13
- Influenza Virus Research Studies 3
- Microbiology 15
- Bacterial Infections and Vaccines 15
- Co-authors
- Christoph M. Tang (5 shared papers)Ian M. Feavers (9 shared papers)Christopher Jones (8 shared papers)Caroline Vipond (8 shared papers)Janet Suker (3 shared papers)Gleysin Cabrera (1 shared paper)Chun‐Ting Yuen (1 shared paper)José A. Cremata (1 shared paper)
- Journals
- Vaccine (5 papers)PROTEOMICS (3 papers)PROTEOMICS - CLINICAL APPLICATIONS (3 papers)Human Vaccines (2 papers)Biologicals (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jun X. Wheeler
34 papers receiving 671 citations
Peers
Comparison fields: 5 of 82
- Microbiology 246
- Endocrinology 50
- Biotechnology 81
- Epidemiology 299
- Immunology 110
Countries citing papers authored by Jun X. Wheeler
This map shows the geographic impact of Jun X. Wheeler'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 X. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun X. Wheeler more than expected).
Fields of papers citing papers by Jun X. Wheeler
This network shows the impact of papers produced by Jun X. Wheeler. 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 X. Wheeler. The network helps show where Jun X. Wheeler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun X. Wheeler, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 94 | |
| 2 | 2005 | 76 | |
| 3 | 2014 | 57 | |
| 4 | 2008 | 49 | |
| 5 | 2005 | 35 | |
| 6 | 2006 | 32 | |
| 7 | 2008 | 31 | |
| 8 | 2010 | 28 | |
| 9 | 2008 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2015 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2007 | 14 | |
| 19 | 2009 | 11 | |
| 20 | 2019 | 11 |
About Jun X. Wheeler
Jun X. Wheeler is a scholar working on Epidemiology, Microbiology, Molecular Biology, Genetics and Spectroscopy, having authored 35 papers that have together received 686 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (15 papers), Pneumonia and Respiratory Infections (13 papers), Virus-based gene therapy research (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Bacterial Genetics and Biotechnology (3 papers), Influenza Virus Research Studies (3 papers) and Neonatal and Maternal Infections (3 papers). The work is most often cited by research in Microbiology (246 citations), Endocrinology (50 citations), Biotechnology (81 citations), Epidemiology (299 citations) and Immunology (110 citations). Jun X. Wheeler has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christoph M. Tang, Ian M. Feavers, Christopher Jones, Caroline Vipond, Janet Suker, Gleysin Cabrera, Chun‐Ting Yuen, José A. Cremata, Ada Triguero and Othmar G. Engelhardt. Their work appears in journals such as Vaccine, PROTEOMICS, PROTEOMICS - CLINICAL APPLICATIONS, Human Vaccines and Biologicals.
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.