Lin An

1.2k citations
129 papers · 658 · h-index 14

Impact in

Papers in

Lin An

118 papers receiving 634 citations

Peers

Lin An
Comparison fields: 5 of 130
  • Nuclear and High Energy Physics 93
  • Immunology 105
  • Complementary and alternative medicine 36
  • Astronomy and Astrophysics 60
  • Health 24
Replace Hongling Wu with:
Hongling Wu China
Harpreet Kaur India
Sujeet Kumar India
Meng Zhu China
Nicola Bartolomeo Italy
Xiaojing Lin China
Sean O’Neill United States
Yuhai Zhang China
Isakov Va Russia
Simran Kaur India
Lin An relative to Hongling Wu China Hongling Wu's profile →
Citations per field
00.5×2.9×
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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010122
2 201747
3 201845
4 201933
5 201927
6 201923
7 202221
8 201121
9 202220
10 202020
11 201317
12 201615
13 202215
14 201914
15 202310
16 20228
17
[Study on prevalence and risk factors of sleep disorder among Chinese children aged 0 to 23 months in city].
20078
18 20178
19 20227
20 20207

About Lin An

Lin An is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 658 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), Optical Coherence Tomography Applications (5 papers), Fungal Infections and Studies (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (93 citations), Immunology (105 citations), Complementary and alternative medicine (36 citations), Astronomy and Astrophysics (60 citations) and Health (24 citations). Lin An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Chen, Ningyuan Sun, Liying Peng, Xiaowei Zhang, Jie Zhang, Xun Liu, Ping Li, X. T. He, Feilu Wang and Quan-Li Dong. Their work appears in journals such as HLA, Ocean Engineering, The American Journal of Chinese Medicine, Frontiers in Pharmacology and PLoS ONE.

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.

Explore authors with similar magnitude of impact