Lin An

1.3k citations
133 papers · 692 · h-index 14

Impact in

Papers in

    • Immune Cell Function and Interaction 67
    • T-cell and B-cell Immunology 66
    • Immunotherapy and Immune Responses 53
    • Immunodeficiency and Autoimmune Disorders 3
    • Monoclonal and Polyclonal Antibodies Research 6
    • Retinal Imaging and Analysis 6

Lin An

121 papers receiving 671 citations

Peers

Lin An
Comparison fields: 5 of 128
  • Nuclear and High Energy Physics 97
  • Immunology 104
  • Complementary and alternative medicine 35
  • Astronomy and Astrophysics 62
  • Ophthalmology 22
Replace Hongling Wu with:
Hongling Wu China
Amir Abramovich Israel
Ye Gong China
Sujeet Kumar India
Xiaojing Lin China
Harpreet Kaur India
Isakov Va Russia
Nicola Bartolomeo Italy
Jana Musilová Czechia
Meng Zhu China
Lin An relative to Hongling Wu China Hongling Wu's profile →
Citations per field
00.5×5.5×
Hongling Wu · 1×
Citations per year

Countries citing papers authored by Lin An

Since Specialization
Citations

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

Fields of papers citing papers by Lin An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010128
2 201850
3 201749
4 201936
5 201927
6 202223
7 201923
8 202221
9 202021
10 201121
11 201317
12 201615
13 202215
14 201914
15 202310
16 20178
17 20228
18 20228
19
[Study on prevalence and risk factors of sleep disorder among Chinese children aged 0 to 23 months in city].
20078
20 20208

About Lin An

Lin An is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology and Biomedical Engineering, having authored 133 papers that have together received 692 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (67 papers), T-cell and B-cell Immunology (66 papers), Immunotherapy and Immune Responses (53 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Retinal Imaging and Analysis (6 papers), Fungal Infections and Studies (4 papers), Optical Coherence Tomography Applications (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (97 citations), Immunology (104 citations), Complementary and alternative medicine (35 citations), Astronomy and Astrophysics (62 citations) and Ophthalmology (22 citations). Lin An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liying Peng, Jun Chen, Ningyuan Sun, Xiaowei Zhang, Ping Li, Feilu Wang, Jie Zhang, X. T. He, Quan-Li Dong and Jianqiang Zhu. Their work appears in journals such as HLA, PLoS ONE, The American Journal of Chinese Medicine, Ocean Engineering and Frontiers in Pharmacology.

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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