Ye Lin

457 citations
17 papers · 360 · h-index 10

Impact in

Papers in

Ye Lin

17 papers receiving 356 citations

Peers

Ye Lin
Comparison fields: 5 of 65
  • Pharmacology 39
  • Complementary and alternative medicine 26
  • Nephrology 21
  • Rheumatology 42
  • Molecular Medicine 13
Replace Chunxiao Liang with:
Chunxiao Liang China
Hailun Gu China
Abdullah Shopit China
Saori Abe Japan
L. Gaydos United States
Zhongyuan Tang China
Miranda J. Smallwood United Kingdom
Huanqing Gao China
Amal F. Dawood Saudi Arabia
Xiaoli Sun China
Ye Lin relative to Chunxiao Liang China Chunxiao Liang's profile →
Citations per field
00.5×1.5×2.4×
Chunxiao Liang · 1×
Citations per year

Countries citing papers authored by Ye Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ye Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202172
2 202046
3 201945
4 201941
5 201537
6 201933
7 202123
8
The Protective Effect of HIF-1α in T Lymphocytes on Cardiac Damage in Diabetic Mice.
201614
9 202112
10 201911
11 20219
12 20256
13 20184
14
[Clinical evaluation of IL-1beta and TNF-alpha in prostatic secretions for chronic prostatitis].
20043
15 20182
16
Causes and management of postoperative massive bleeding of BPH patients treated with TURP (Report of 55 cases)
20051
17 20251

About Ye Lin

Ye Lin is a scholar working on Rheumatology, Molecular Biology, Epidemiology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 360 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiovascular Disease and Adiposity (1 paper), Adipose Tissue and Metabolism (1 paper), Ubiquitin and proteasome pathways (1 paper), Plant-based Medicinal Research (1 paper), Computational Drug Discovery Methods (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Pharmacology (39 citations), Complementary and alternative medicine (26 citations), Nephrology (21 citations), Rheumatology (42 citations) and Molecular Medicine (13 citations). Ye Lin has collaborated with scholars based in China, Macao and Russia. Frequent co-authors include Huanghe Yu, Xiong Cai, Yixing Qiu, Shumaila Tasneem, Rong Zeng, Yi Wang, Guang Liang, Yuhong Wang, Liting Zhou and Shuyue Wang. Their work appears in journals such as Ecotoxicology and Environmental Safety, Phytomedicine, Journal of Ethnopharmacology, Disease Markers and ACS Nano.

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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