John D. Young
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
Papers in
-
- Immune Cell Function and Interaction 5
- Reproductive System and Pregnancy 2
- Complement system in diseases 2
-
- RNA Interference and Gene Delivery 2
- Co-authors
- Jan Martel (18 shared papers)Zanvil A. Cohn (2 shared papers)Eckhard R. Podack (1 shared paper)David M. Ojcius (14 shared papers)Cheng-Yeu Wu (7 shared papers)David Young (4 shared papers)Hsin‐Chih Lai (7 shared papers)Roxana Z. Witter (1 shared paper)
- Journals
- Scientific Reports (5 papers)Nanomedicine (4 papers)Biochemical and Biophysical Research Communications (3 papers)PLoS ONE (3 papers)Innate Immunity (2 papers)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
John D. Young
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Immunology 352
- Complementary and Manual Therapy 26
- Nephrology 84
- Hematology 112
- Pharmacology 91
Countries citing papers authored by John D. Young
This map shows the geographic impact of John D. Young'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 John D. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Young more than expected).
Fields of papers citing papers by John D. Young
This network shows the impact of papers produced by John D. Young. 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 John D. Young. The network helps show where John D. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Young, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 223 | |
| 2 | 1987 | 102 | |
| 3 | 1994 | 100 | |
| 4 | 2008 | 99 | |
| 5 | 2009 | 83 | |
| 6 | 2009 | 73 | |
| 7 | 2020 | 66 | |
| 8 | 2014 | 65 | |
| 9 | 1989 | 52 | |
| 10 | 2016 | 44 | |
| 11 | 2015 | 40 | |
| 12 | 2016 | 37 | |
| 13 | 2009 | 37 | |
| 14 | 2011 | 36 | |
| 15 | 2018 | 33 | |
| 16 | 2013 | 32 | |
| 17 | 2014 | 32 | |
| 18 | 2015 | 15 | |
| 19 | 2016 | 14 | |
| 20 | 2001 | 13 |
About John D. Young
John D. Young is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Hematology and Infectious Diseases, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Fungal Biology and Applications (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), RNA Interference and Gene Delivery (2 papers), Reproductive System and Pregnancy (2 papers), Dermatological and Skeletal Disorders (2 papers), Complement system in diseases (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Immunology (352 citations), Complementary and Manual Therapy (26 citations), Nephrology (84 citations), Hematology (112 citations) and Pharmacology (91 citations). John D. Young has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Jan Martel, Zanvil A. Cohn, Eckhard R. Podack, David M. Ojcius, Cheng-Yeu Wu, David Young, Hsin‐Chih Lai, Roxana Z. Witter, Richard C. Duke and Paul B. Nash. Their work appears in journals such as Scientific Reports, Nanomedicine, Biochemical and Biophysical Research Communications, PLoS ONE and Innate 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.