Wen‐Xing Ding
Impact in
- Pharmacology top 0.1%
- Drug-Induced Hepatotoxicity and Protection
- Cannabis and Cannabinoid Research
- Epidemiology top 0.2%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
- Pharmacology 27
- Cannabis and Cannabinoid Research 31
- Drug-Induced Hepatotoxicity and Protection 27
- Epidemiology 103
- Autophagy in Disease and Therapy 73
- Liver Disease Diagnosis and Treatment 32
- Co-authors
- Hong‐Min NiJessica A. WilliamsHartmut JaeschkeChoon Nam OngXiaojuan ChaoXiao‐Ming YinHan‐Ming ShenSharon Manley
- Journals
- Autophagy (9 papers)Hepatology (9 papers)Liver Research (8 papers)Cellular and Molecular Gastroenterology and Hepatology (7 papers)American Journal Of Pathology (7 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Wen‐Xing Ding
138 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Pharmacology 1.4k
- Epidemiology 4.3k
- Hepatology 896
- Pathology and Forensic Medicine 1.4k
- Biochemistry 533
Countries citing papers authored by Wen‐Xing Ding
This map shows the geographic impact of Wen‐Xing Ding'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 Wen‐Xing Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Xing Ding more than expected).
Fields of papers citing papers by Wen‐Xing Ding
This network shows the impact of papers produced by Wen‐Xing Ding. 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 Wen‐Xing Ding. The network helps show where Wen‐Xing Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen‐Xing Ding, 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 | 2024 | 12 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 38 | |
| 10 | 2019 | 54 | |
| 11 | 2018 | 46 | |
| 12 | 2017 | 145 | |
| 13 | 2016 | 59 | |
| 14 | 2015 | 131 | |
| 15 | 2015 | 15 | |
| 16 | 2012 | 82 | |
| 17 | Autophagy Reduces Acute Ethanol-Induced Hepatotoxicity and Steatosis in Mice Hit paper breakdown → | 2010 | 423 |
| 18 | 2009 | 87 | |
| 19 | 2004 | 240 | |
| 20 | 1998 | 153 |
About Wen‐Xing Ding
Wen‐Xing Ding is a scholar working on Pharmacology, Epidemiology, Hepatology, Pharmacology and Pathology and Forensic Medicine, having authored 141 papers that have together received 8.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (73 papers), Liver Disease Diagnosis and Treatment (32 papers), Alcohol Consumption and Health Effects (32 papers), Cannabis and Cannabinoid Research (31 papers), Drug-Induced Hepatotoxicity and Protection (27 papers), Endoplasmic Reticulum Stress and Disease (22 papers), Mitochondrial Function and Pathology (11 papers) and Liver Disease and Transplantation (10 papers). The work is most often cited by research in Pharmacology (1.4k citations), Epidemiology (4.3k citations), Hepatology (896 citations), Pathology and Forensic Medicine (1.4k citations) and Biochemistry (533 citations). Wen‐Xing Ding has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Hong‐Min Ni, Jessica A. Williams, Hartmut Jaeschke, Choon Nam Ong, Xiaojuan Chao, Xiao‐Ming Yin, Han‐Ming Shen, Sharon Manley, Tiangang Li and Shaogui Wang. Their work appears in journals such as Autophagy, Hepatology, Liver Research, Cellular and Molecular Gastroenterology and Hepatology and American Journal Of Pathology.
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.