Aiping Lin

29 papers receiving 1.1k citations

Peers

Aiping Lin
Comparison fields: 5 of 132
  • Biological Psychiatry 27
  • Immunology 195
  • Molecular Biology 444
  • Pediatrics, Perinatology and Child Health 120
  • Endocrine and Autonomic Systems 37
Replace Natsuhiko Kumasaka with:
Natsuhiko Kumasaka Japan
Ryan Welch United States
Peter S. Chines United States
Huwenbo Shi United States
Laurent Essioux Switzerland
Victor Chatterjee United States
Alicia Rodríguez‐Barbero Spain
Oliver S. Burren United Kingdom
Yasuhiro Kosaka United States
Futao Zhang China
Aiping Lin relative to Natsuhiko Kumasaka Japan Natsuhiko Kumasaka's profile →
Citations per field
00.5×1.7×
Natsuhiko Kumasaka · 1×
Citations per year

Countries citing papers authored by Aiping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006180
2 2011109
3 201297
4 201279
5 201072
6 201262
7 201245
8 201044
9 201143
10 201442
11 201239
12 201536
13 201335
14 201431
15 201331
16 201229
17 201426
18 202418
19 201218
20 200618

About Aiping Lin

Aiping Lin is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Neonatal Respiratory Health Research (4 papers), T-cell and B-cell Immunology (3 papers), Adipose Tissue and Metabolism (3 papers), Cell Adhesion Molecules Research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Immunology (195 citations), Molecular Biology (444 citations), Pediatrics, Perinatology and Child Health (120 citations) and Endocrine and Autonomic Systems (37 citations). Aiping Lin has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Hongyu Zhao, Bradley E. Enerson, Michael Lawton, Eugenia Floyd, Herbert Pang, Matthew Holford, Bin Lü, Shrikant Mane, Dong Chen and Wei Zheng. Their work appears in journals such as The Journal of Pediatrics, Diabetes, Alcoholism Clinical and Experimental Research, Blood and Scientific Reports.

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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