Liyan Wan

1.2k citations
38 papers · 669 · h-index 16

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
    • Platelet Disorders and Treatments
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • Autoimmune and Inflammatory Disorders Research 13
    • Platelet Disorders and Treatments 4
    • Immune Cell Function and Interaction 4
    • Inflammation biomarkers and pathways 4
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3

Liyan Wan

37 papers receiving 656 citations

Peers

Liyan Wan
Comparison fields: 5 of 68
  • Hematology 185
  • Rheumatology 135
  • Immunology 138
  • Nephrology 38
  • Cancer Research 78
Replace Ying‐Qian Mo with:
Ying‐Qian Mo China
Debby den Uyl Netherlands
Krzysztof Chojnowski Poland
Claire Barro France
Irena Manolova Bulgaria
Loredana Bury Italy
Laurence Lutteri Belgium
Mikako Warren United States
Imran Ahmad Canada
Gerard J. van Mierlo Netherlands
Liyan Wan relative to Ying‐Qian Mo China Ying‐Qian Mo's profile →
Citations per field
00.5×1.5×1.9×
Ying‐Qian Mo · 1×
Citations per year

Countries citing papers authored by Liyan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201175
2 201266
3 201360
4 202054
5 201442
6 201935
7 201932
8 201129
9 201225
10 201922
11 202020
12 202020
13 202218
14 202016
15 202015
16 202015
17 201114
18 202214
19 202113
20 202112

About Liyan Wan

Liyan Wan is a scholar working on Hematology, Immunology, Molecular Biology, Rheumatology and Surgery, having authored 38 papers that have together received 669 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (13 papers), Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (4 papers), Inflammation biomarkers and pathways (4 papers), Platelet Disorders and Treatments (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Kawasaki Disease and Coronary Complications (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (185 citations), Rheumatology (135 citations), Immunology (138 citations), Nephrology (38 citations) and Cancer Research (78 citations). Liyan Wan has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Xiaoyan Bai, Chengde Yang, Jian Geng, Qiongyi Hu, Hui Shi, Tingting Liu, Jialin Teng, Yutong Su, Junna Ye and Xiaobing Cheng. Their work appears in journals such as Frontiers in Immunology, Lara D. Veeken, Clinical Rheumatology, Journal of Thoracic Oncology and Arthritis Research & Therapy.

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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