Jun X. Wheeler
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
- Epidemiology 15
- Pneumonia and Respiratory Infections 12
- Influenza Virus Research Studies 3
- Respiratory viral infections research 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)Ada Triguero (1 shared paper)Chun‐Ting Yuen (1 shared paper)Gleysin Cabrera (1 shared paper)
- Journals
- Vaccine (5 papers)PROTEOMICS - CLINICAL APPLICATIONS (3 papers)PROTEOMICS (3 papers)Biologicals (2 papers)Infection and Immunity (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jun X. Wheeler
34 papers receiving 682 citations
Peers
Comparison fields: 5 of 77
- Microbiology 244
- Biotechnology 81
- Epidemiology 285
- Endocrinology 47
- Immunology 108
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 | 58 | |
| 4 | 2008 | 49 | |
| 5 | 2005 | 35 | |
| 6 | 2006 | 32 | |
| 7 | 2008 | 31 | |
| 8 | 2010 | 28 | |
| 9 | 2018 | 26 | |
| 10 | 2008 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2015 | 23 | |
| 13 | 2018 | 20 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2018 | 16 | |
| 17 | 2011 | 15 | |
| 18 | 2007 | 14 | |
| 19 | 2019 | 12 | |
| 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 696 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (15 papers), Pneumonia and Respiratory Infections (12 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Influenza Virus Research Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Microbiology (244 citations), Biotechnology (81 citations), Epidemiology (285 citations), Endocrinology (47 citations) and Immunology (108 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, Ada Triguero, Chun‐Ting Yuen, Gleysin Cabrera, José A. Cremata and Othmar G. Engelhardt. Their work appears in journals such as Vaccine, PROTEOMICS - CLINICAL APPLICATIONS, PROTEOMICS, Biologicals and Infection and Immunity.
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.