Ying Wan
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
- Phytochemicals and Antioxidant Activities
Papers in
- Genetics 28
- Myeloproliferative Neoplasms: Diagnosis and Treatment 19
- Hemoglobinopathies and Related Disorders 8
- Co-authors
- Terry D. Etherton (4 shared papers)Penny M. Kris‐Etherton (3 shared papers)Yan‐Ling Wu (11 shared papers)Ji‐Xing Nan (11 shared papers)Li‐Hua Lian (10 shared papers)Thomas A. Pearson (3 shared papers)Valerie Fishell (1 shared paper)Fanyin Meng (18 shared papers)
- Journals
- Blood (17 papers)Chemico-Biological Interactions (5 papers)HemaSphere (4 papers)Journal of Clinical Oncology (4 papers)International Immunopharmacology (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ying Wan
154 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 147
- Nephrology 315
- Biochemistry 239
- Hepatology 281
- Nutrition and Dietetics 438
- Cardiology and Cardiovascular Medicine 536
Countries citing papers authored by Ying Wan
This map shows the geographic impact of Ying Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wan more than expected).
Fields of papers citing papers by Ying Wan
This network shows the impact of papers produced by Ying Wan. 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 Wan. The network helps show where Ying Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Wan, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 483 | |
| 2 | 2005 | 425 | |
| 3 | 2001 | 268 | |
| 4 | 1998 | 201 | |
| 5 | 2011 | 134 | |
| 6 | 2013 | 109 | |
| 7 | 2013 | 103 | |
| 8 | 2004 | 102 | |
| 9 | 2015 | 85 | |
| 10 | 2016 | 81 | |
| 11 | 2006 | 79 | |
| 12 | 2017 | 74 | |
| 13 | 2017 | 70 | |
| 14 | 1998 | 70 | |
| 15 | 2010 | 65 | |
| 16 | 2017 | 61 | |
| 17 | 2002 | 57 | |
| 18 | 2023 | 55 | |
| 19 | 2010 | 53 | |
| 20 | 2020 | 50 |
About Ying Wan
Ying Wan is a scholar working on Molecular Biology, Genetics, Hematology, Hepatology and Epidemiology, having authored 165 papers that have together received 4.2k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers), Acute Myeloid Leukemia Research (19 papers), Liver physiology and pathology (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Hemoglobinopathies and Related Disorders (8 papers), Drug-Induced Hepatotoxicity and Protection (6 papers) and Liver Diseases and Immunity (6 papers). The work is most often cited by research in Nephrology (315 citations), Biochemistry (239 citations), Hepatology (281 citations), Nutrition and Dietetics (438 citations) and Cardiology and Cardiovascular Medicine (536 citations). Ying Wan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Terry D. Etherton, Penny M. Kris‐Etherton, Yan‐Ling Wu, Ji‐Xing Nan, Li‐Hua Lian, Thomas A. Pearson, Valerie Fishell, Fanyin Meng, John Proch and Sheryl A. Lazarus. Their work appears in journals such as Blood, Chemico-Biological Interactions, HemaSphere, Journal of Clinical Oncology and International Immunopharmacology.
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.