Ying-De Wang
Impact in
-
- Inflammatory Bowel Disease
-
- Immune Cell Function and Interaction
Papers in
- Epidemiology 13
- Microscopic Colitis 6
- Liver Disease Diagnosis and Treatment 3
- Genetics 11
- Inflammatory Bowel Disease 11
- Co-authors
- William I. Wood (1 shared paper)Jingwei Mao (13 shared papers)Haiying Tang (9 shared papers)John H. Evans (1 shared paper)Leo P. Vernon (1 shared paper)Tingting Shi (1 shared paper)Xiaoyan Tan (6 shared papers)Lei Zhu (1 shared paper)
- Journals
- World Journal of Gastroenterology (4 papers)Journal of Clinical Apheresis (2 papers)BMC Gastroenterology (2 papers)Medicine (1 paper)Infection and Immunity (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ying-De Wang
29 papers receiving 555 citations
Peers
Comparison fields: 5 of 91
- Genetics 169
- Immunology 125
- Microbiology 28
- Endocrinology, Diabetes and Metabolism 74
- Ophthalmology 37
Countries citing papers authored by Ying-De Wang
This map shows the geographic impact of Ying-De 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 Ying-De Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-De Wang more than expected).
Fields of papers citing papers by Ying-De Wang
This network shows the impact of papers produced by Ying-De 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 Ying-De Wang. The network helps show where Ying-De Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying-De 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 89 | |
| 2 | 1995 | 73 | |
| 3 | 1989 | 66 | |
| 4 | Intestinal mucosal barrier dysfunction participates in the progress of nonalcoholic fatty liver disease. | 2015 | 52 |
| 5 | 2017 | 42 | |
| 6 | 2009 | 40 | |
| 7 | 2007 | 35 | |
| 8 | 2006 | 31 | |
| 9 | 2009 | 30 | |
| 10 | 1997 | 21 | |
| 11 | 2012 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2008 | 11 | |
| 15 | 2014 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2000 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 3 | |
| 20 | [Meta-analysis of terlipressin in treatment of hepatorenal syndrome: an update]. | 2009 | 3 |
About Ying-De Wang
Ying-De Wang is a scholar working on Epidemiology, Genetics, Molecular Biology, Oncology and Immunology, having authored 32 papers that have together received 570 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (11 papers), Microscopic Colitis (6 papers), Immune Cell Function and Interaction (4 papers), Peptidase Inhibition and Analysis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers), Protease and Inhibitor Mechanisms (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (169 citations), Immunology (125 citations), Microbiology (28 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Ophthalmology (37 citations). Ying-De Wang has collaborated with scholars based in China and United States. Frequent co-authors include William I. Wood, Jingwei Mao, Haiying Tang, John H. Evans, Leo P. Vernon, Tingting Shi, Xiaoyan Tan, Lei Zhu, Xiuli Liu and Jian Bi. Their work appears in journals such as World Journal of Gastroenterology, Journal of Clinical Apheresis, BMC Gastroenterology, Medicine 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.