Ying Wan

7.0k citations
161 papers · 3.9k · h-index 33

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Antioxidant Activity and Oxidative Stress
    • Phytochemicals and Antioxidant Activities

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 18
    • Hemoglobinopathies and Related Disorders 8

Ying Wan

152 papers receiving 3.8k citations

Peers

Ying Wan
Comparison fields: 5 of 148
  • Nephrology 328
  • Biochemistry 258
  • Hepatology 298
  • Cardiology and Cardiovascular Medicine 706
  • Nutrition and Dietetics 462
Replace Xin Wang with:
Xin Wang China
Jiao Guo China
Tannaz Jamialahmadi Iran
Xu Han China
Hyun Chul Lee South Korea
Aldo Paolicchi Italy
Eva Kassi Greece
Sorin Ursoniu Romania
A. Dembińska-Kieć Poland
Agnieszka Łoboda Poland
Ying Wan relative to Xin Wang China Xin Wang's profile →
Citations per field
00.5×1.5×2.1×
Xin Wang · 1×
Citations per year

Countries citing papers authored by Ying Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ying Wan Line = papers co-authored together Ying Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999447
2 2005405
3 2001243
4 1998194
5 2011126
6 2013102
7 201398
8 200496
9 201581
10 201679
11 200674
12 201768
13 201768
14 201061
15 199860
16 201757
17 200256
18 201051
19 202350
20 202049

About Ying Wan

Ying Wan is a scholar working on Molecular Biology, Genetics, Hematology, Surgery and Epidemiology, having authored 161 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (13 papers), Chronic Myeloid Leukemia Treatments (11 papers), Hemoglobinopathies and Related Disorders (8 papers), Liver Diseases and Immunity (6 papers) and Drug-Induced Hepatotoxicity and Protection (6 papers). The work is most often cited by research in Nephrology (328 citations), Biochemistry (258 citations), Hepatology (298 citations), Cardiology and Cardiovascular Medicine (706 citations) and Nutrition and Dietetics (462 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, Ji‐Xing Nan, Yan‐Ling Wu, Li‐Hua Lian, Thomas A. Pearson, Valerie Fishell, Fanyin Meng, Ting Bai and Gianfranco Alpini. Their work appears in journals such as Blood, Chemico-Biological Interactions, HemaSphere, American Journal of Clinical Nutrition 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.

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