Robert Wang
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
- Ophthalmology top 2%
- Ocular Diseases and Behçet’s Syndrome
Papers in
-
- RNA Research and Splicing 6
- RNA regulation and disease 5
- RNA and protein synthesis mechanisms 5
-
- Viral Infections and Immunology Research 17
- Co-authors
- Peter D. Nagy (4 shared papers)Jozsef Stork (2 shared papers)Judit Pogany (2 shared papers)Anders Hafrén (1 shared paper)Kristiina Mäkinen (1 shared paper)Shin‐Ru Shih (5 shared papers)Rei‐Lin Kuo (5 shared papers)Chih‐Ching Huang (7 shared papers)
- Journals
- Journal of Virology (5 papers)Small (4 papers)Virology Journal (3 papers)Virology (3 papers)Viruses (3 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Robert Wang
77 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Endocrinology 156
- Ophthalmology 174
- Infectious Diseases 359
- Cardiology and Cardiovascular Medicine 339
- Plant Science 448
Countries citing papers authored by Robert Wang
This map shows the geographic impact of Robert Wang'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 Robert Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Wang more than expected).
Fields of papers citing papers by Robert Wang
This network shows the impact of papers produced by Robert Wang. 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 Robert Wang. The network helps show where Robert Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Wang, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 158 | |
| 2 | 2019 | 156 | |
| 3 | 2008 | 148 | |
| 4 | 2009 | 128 | |
| 5 | 2019 | 103 | |
| 6 | 2003 | 92 | |
| 7 | 2013 | 79 | |
| 8 | 2011 | 72 | |
| 9 | 2005 | 69 | |
| 10 | 2009 | 63 | |
| 11 | 2014 | 62 | |
| 12 | 2011 | 59 | |
| 13 | 2011 | 57 | |
| 14 | 2017 | 56 | |
| 15 | 2014 | 51 | |
| 16 | 2014 | 48 | |
| 17 | 2022 | 45 | |
| 18 | 2019 | 41 | |
| 19 | 2013 | 38 | |
| 20 | 2012 | 37 |
About Robert Wang
Robert Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (17 papers), Mosquito-borne diseases and control (7 papers), Plant Virus Research Studies (7 papers), RNA Research and Splicing (6 papers), Hepatitis B Virus Studies (5 papers), RNA regulation and disease (5 papers), RNA and protein synthesis mechanisms (5 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Endocrinology (156 citations), Ophthalmology (174 citations), Infectious Diseases (359 citations), Cardiology and Cardiovascular Medicine (339 citations) and Plant Science (448 citations). Robert Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Peter D. Nagy, Jozsef Stork, Judit Pogany, Anders Hafrén, Kristiina Mäkinen, Shin‐Ru Shih, Rei‐Lin Kuo, Chih‐Ching Huang, Chin‐Jung Lin and Han‐Wei Chu. Their work appears in journals such as Journal of Virology, Small, Virology Journal, Virology and Viruses.
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.