Lin‐Yan Wan

719 citations
21 papers · 538 · h-index 13

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 2
    • Pancreatitis Pathology and Treatment 2

Lin‐Yan Wan

21 papers receiving 534 citations

Peers

Lin‐Yan Wan
Comparison fields: 5 of 88
  • Hepatology 88
  • Cancer Research 111
  • Drug Discovery 1
  • Gastroenterology 29
  • Molecular Biology 259
Replace Shuangyi Ren with:
Shuangyi Ren China
Xiaoya Jin China
Benjamin Schmidt United States
Guirong Sun China
Kotaro Kuwaki Japan
Sophie Van Welden Belgium
Maurizio Podda Germany
Kefan Bi China
Jianfeng Yang China
Lin‐Yan Wan relative to Shuangyi Ren China Shuangyi Ren's profile →
Citations per field
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Shuangyi Ren · 1×
Citations per year

Countries citing papers authored by Lin‐Yan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Yan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 201968
3 201959
4 201853
5 201545
6 201539
7 201536
8 201730
9 202027
10 201615
11 202112
12 202212
13 201512
14 201712
15 202210
16 20179
17 20168
18 20235
19 20252
20 20252

About Lin‐Yan Wan

Lin‐Yan Wan is a scholar working on Molecular Biology, Surgery, Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 21 papers that have together received 538 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Pancreatitis Pathology and Treatment (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Hepatology (88 citations), Cancer Research (111 citations), Drug Discovery (1 citation), Gastroenterology (29 citations) and Molecular Biology (259 citations). Lin‐Yan Wan has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Jiangfeng Wu, Yanqiong Zhang, Wen‐Bing Ai, Yaowei Ai, Liang‐Yin Chu, Chang-Bai Liu, Xueping Jiang, Bo Li, Peng Hu and Lingxiao Chen. Their work appears in journals such as Cell & Bioscience, Helicobacter, Molecules, DNA and Cell Biology and Expert Opinion on Drug Delivery.

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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