Yuling Wei
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Liver Diseases and Immunity
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Liver Disease and Transplantation 2
- Hepatitis C virus research 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- James E. Everhart (4 shared papers)Russell H. Wiesner (4 shared papers)Jay H. Hoofnagle (2 shared papers)Steven H. Belle (3 shared papers)John R. Lake (2 shared papers)Rowen K. Zetterman (2 shared papers)Kai‐Li Liu (1 shared paper)Ya–Chen Yang (1 shared paper)
- Journals
- Hepatology (2 papers)Scientific Reports (1 paper)Oncotarget (1 paper)Current Alzheimer Research (1 paper)Transplantation (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuling Wei
12 papers receiving 583 citations
Peers
Comparison fields: 5 of 78
- Hepatology 267
- Transplantation 72
- Epidemiology 191
- Surgery 179
- Biochemistry 28
Countries citing papers authored by Yuling Wei
This map shows the geographic impact of Yuling Wei'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 Yuling Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Wei more than expected).
Fields of papers citing papers by Yuling Wei
This network shows the impact of papers produced by Yuling Wei. 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 Yuling Wei. The network helps show where Yuling Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Wei, 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 | 2012 | 133 | |
| 2 | 1998 | 129 | |
| 3 | 1999 | 100 | |
| 4 | 2008 | 80 | |
| 5 | 2004 | 73 | |
| 6 | 2019 | 35 | |
| 7 | 2016 | 18 | |
| 8 | 2018 | 13 | |
| 9 | 2005 | 12 | |
| 10 | 2016 | 8 | |
| 11 | 2017 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2025 | 0 |
About Yuling Wei
Yuling Wei is a scholar working on Hepatology, Neurology, Cellular and Molecular Neuroscience, Pharmacology and Spectroscopy, having authored 15 papers that have together received 609 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (2 papers), Molecular Sensors and Ion Detection (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Hepatitis C virus research (2 papers), Inflammatory mediators and NSAID effects (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Hepatology (267 citations), Transplantation (72 citations), Epidemiology (191 citations), Surgery (179 citations) and Biochemistry (28 citations). Yuling Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include James E. Everhart, Russell H. Wiesner, Jay H. Hoofnagle, Steven H. Belle, John R. Lake, Rowen K. Zetterman, Kai‐Li Liu, Ya–Chen Yang, Chien‐Chun Li and Chia‐Yang Lu. Their work appears in journals such as Hepatology, Scientific Reports, Oncotarget, Current Alzheimer Research and Transplantation.
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.