Yi Wan

4.4k citations
139 papers · 3.1k · h-index 32

Impact in

    • Venous Thromboembolism Diagnosis and Management
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Yi Wan

130 papers receiving 3.0k citations

Peers

Yi Wan
Comparison fields: 5 of 158
  • Internal Medicine 117
  • Cancer Research 440
  • Cardiology and Cardiovascular Medicine 536
  • Molecular Biology 853
  • Biochemistry 54
Replace Howard Leong‐Poi with:
Howard Leong‐Poi Canada
Vincenzo Arena Italy
George S. Abela United States
David W.M. Muller Australia
Benjamin Hibbert Canada
Søren Risom Kristensen Denmark
Yuichiro Sato Japan
Dimitrios Moris United States
Bernhard Metzler Austria
Linda Williams United Kingdom
Yi Wan relative to Howard Leong‐Poi Canada Howard Leong‐Poi's profile →
Citations per field
00.5×2×2.7×
Howard Leong‐Poi · 1×
Citations per year

Countries citing papers authored by Yi Wan

Since Specialization
Citations

This map shows the geographic impact of Yi 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 Yi Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Wan more than expected).

Fields of papers citing papers by Yi Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi 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 Yi Wan. The network helps show where Yi Wan may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi 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 Yi Wan Line = papers co-authored together Yi Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008399
2 2015107
3 201089
4 202284
5 201184
6 201278
7 201274
8 200068
9 201966
10 201265
11 201462
12 201359
13 200759
14 200957
15 201056
16 201856
17 202254
18 201053
19 201152
20 201452

About Yi Wan

Yi Wan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Oncology and Surgery, having authored 139 papers that have together received 3.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (14 papers), MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (9 papers), Colorectal Cancer Surgical Treatments (5 papers), interferon and immune responses (4 papers), Cancer-related molecular mechanisms research (4 papers), Nutritional Studies and Diet (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Internal Medicine (117 citations), Cancer Research (440 citations), Cardiology and Cardiovascular Medicine (536 citations), Molecular Biology (853 citations) and Biochemistry (54 citations). Yi Wan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongyong Xu, Lei Shi, Zhimin Wang, Carl Heneghan, Rafael Perera, Clare Bankhead, Nia Roberts, Jennifer Hollowell, Paul Glasziou and Guan Sun. Their work appears in journals such as Blood Pressure Monitoring, Medicine, Scientific Reports, PLoS ONE and Neuroreport.

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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