Liming Lin

1.2k citations
73 papers · 842 indexed · h-index 16

Impact in

Papers in

Liming Lin

62 papers receiving 830 citations

Peers

Liming Lin
Comparison fields: 5 of 110
  • Microbiology 105
  • Cardiology and Cardiovascular Medicine 151
  • Pharmaceutical Science 34
  • Endocrinology 28
  • Endocrinology, Diabetes and Metabolism 88
Replace Naohisa Kawamura with:
Naohisa Kawamura Japan
Yi‐Yin Chen China
Valerie A. Schroeder United States
Tomasz Wollny Poland
Maura Di Vito Italy
Tao You China
Shuang Tian China
Na Liu China
Guizhen Wang China
Liming Lin relative to Naohisa Kawamura Japan Naohisa Kawamura's profile →
Citations per field
00.5×10×16.1×
Naohisa Kawamura · 1×
Citations per year

Countries citing papers authored by Liming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 2022101
3 201542
4 201632
5 202331
6 201931
7 202130
8 201828
9 201525
10 202125
11 201023
12 201620
13 201720
14 202417
15 201016
16 202116
17 202315
18 201214
19 202214
20 201314

About Liming Lin

Liming Lin is a scholar working on Cardiology and Cardiovascular Medicine, Microbiology, Endocrinology, Diabetes and Metabolism, Endocrinology and Molecular Biology, having authored 73 papers that have together received 842 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (6 papers), Cardiovascular Health and Risk Factors (6 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Antimicrobial Peptides and Activities (5 papers), Ubiquitin and proteasome pathways (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Cardiovascular Disease and Adiposity (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Microbiology (105 citations), Cardiology and Cardiovascular Medicine (151 citations), Pharmaceutical Science (34 citations), Endocrinology (28 citations) and Endocrinology, Diabetes and Metabolism (88 citations). Liming Lin has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guilan Quan, Chao Lü, Chuanbin Wu, Rui Luo, Dongyi Xian, Jinxiu Lin, Meifang Wu, Xin Pan, Xiaoqian Feng and G. Kinard. Their work appears in journals such as International Immunopharmacology, Acta Pharmaceutica Sinica B, International Journal of Biological Macromolecules, Nature Communications and Theranostics.

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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