Dejun Tang
Impact in
-
- Multiple Sclerosis Research Studies
- Ophthalmology top 5%
- Drug-Induced Ocular Toxicity
- Ocular Diseases and Behçet’s Syndrome
- Glaucoma and retinal disorders
Papers in
-
- Engineering Education and Curriculum Development 2
-
- Biosimilars and Bioanalytical Methods 3
- Co-authors
- William Collins (3 shared papers)Ludwig Kappos (2 shared papers)Jeffrey Allen Cohen (2 shared papers)Paul W O'Connor (2 shared papers)Anthony T. Reder (2 shared papers)G. S. Francis (1 shared paper)Lixin Zhang-Auberson (2 shared papers)Xiaoli Zhang (1 shared paper)
- Journals
- Multiple Sclerosis Journal (2 papers)Multiple Sclerosis and Related Disorders (1 paper)Ophthalmology (1 paper)Statistics in Biopharmaceutical Research (1 paper)Pharmaceuticals (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Dejun Tang
10 papers receiving 387 citations
Peers
Comparison fields: 5 of 36
- Pathology and Forensic Medicine 240
- Ophthalmology 71
- Toxicology 7
- Statistics and Probability 9
- Molecular Biology 41
Countries citing papers authored by Dejun Tang
This map shows the geographic impact of Dejun Tang'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 Dejun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Tang more than expected).
Fields of papers citing papers by Dejun Tang
This network shows the impact of papers produced by Dejun Tang. 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 Dejun Tang. The network helps show where Dejun Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 126 | |
| 2 | 2013 | 122 | |
| 3 | 2014 | 73 | |
| 4 | 2012 | 68 | |
| 5 | 2019 | 4 | |
| 6 | 2007 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2008 | 1 | |
| 9 | 2010 | 1 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2009 | 0 | |
| 13 | 2018 | 0 | |
| 14 | 2025 | 0 |
About Dejun Tang
Dejun Tang is a scholar working on Media Technology, Immunology, Statistics and Probability, Pathology and Forensic Medicine and Toxicology, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (3 papers), Engineering Education and Curriculum Development (2 papers), Statistical Methods in Clinical Trials (2 papers), Multiple Sclerosis Research Studies (2 papers), Face and Expression Recognition (2 papers), Information Systems Education and Curriculum Development (1 paper), Stability and Control of Uncertain Systems (1 paper) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (240 citations), Ophthalmology (71 citations), Toxicology (7 citations), Statistics and Probability (9 citations) and Molecular Biology (41 citations). Dejun Tang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include William Collins, Ludwig Kappos, Jeffrey Allen Cohen, Paul W O'Connor, Anthony T. Reder, G. S. Francis, Lixin Zhang-Auberson, Xiaoli Zhang, Gordon Francis and Marco A. Zarbin. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, Ophthalmology, Statistics in Biopharmaceutical Research and Pharmaceuticals.
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.