Lin Wan

809 citations
32 papers · 629 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

Lin Wan

29 papers receiving 622 citations

Peers

Lin Wan
Comparison fields: 5 of 89
  • Cancer Research 189
  • Immunology 120
  • Geriatrics and Gerontology 14
  • Molecular Biology 237
  • Developmental Neuroscience 13
Replace Xiaowen Mao with:
Xiaowen Mao Hong Kong
Marco Calvaruso Italy
Feng‐Ming Hsu Taiwan
Vahe M. Zohrabian United States
Jiayuan Peng China
Mingyuan He China
Hongyu Shi China
Hai‐Qiang Mai China
Chirag Rao United States
Antonia Gounaris Greece
Lin Wan relative to Xiaowen Mao Hong Kong Xiaowen Mao's profile →
Citations per field
00.5×4.7×
Xiaowen Mao · 1×
Citations per year

Countries citing papers authored by Lin Wan

Since Specialization
Citations

This map shows the geographic impact of Lin 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 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 Wan more than expected).

Fields of papers citing papers by Lin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013150
2 2013114
3 201366
4 201343
5 201131
6 201629
7 201728
8 201619
9 202319
10 202018
11 201417
12 202016
13 202114
14 200912
15 201911
16 20199
17 20215
18 20185
19 20224
20 20204

About Lin Wan

Lin Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 32 papers that have together received 629 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiation Detection and Scintillator Technologies (5 papers), Radiation Therapy and Dosimetry (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Radiotherapy Techniques (2 papers), Advanced X-ray and CT Imaging (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Cancer Research (189 citations), Immunology (120 citations), Geriatrics and Gerontology (14 citations), Molecular Biology (237 citations) and Developmental Neuroscience (13 citations). Lin Wan has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Lihong Bu, Tao Huang, Zhen Cheng, Yingfeng Tu, Yuhua Fan, Yingfeng Tu, Baozhong Shen, Baozhong Shen, Kezheng Wang and Xiaoyan Li. Their work appears in journals such as IEEE Transactions on Radiation and Plasma Medical Sciences, Physics in Medicine and Biology, Multimedia Tools and Applications, PLoS ONE and Cellular Physiology and Biochemistry.

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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