Lin Lv

661 citations
22 papers · 555 · h-index 11

Impact in

Papers in

Lin Lv

22 papers receiving 553 citations

Peers

Lin Lv
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 119
  • Cardiology and Cardiovascular Medicine 138
  • Complementary and alternative medicine 41
  • Biological Psychiatry 12
  • Cancer Research 70
Replace Jiangyang Chi with:
Jiangyang Chi China
Minna Woo Canada
Chia-Yao Shen Taiwan
Xiangli Bai China
Lin-Lin Kang China
Xuexue Zhu China
Jinsheng Qi China
Gema Marín‐Royo Spain
Goowon Yang South Korea
Lin Lv relative to Jiangyang Chi China Jiangyang Chi's profile →
Citations per field
00.5×
Jiangyang Chi · 1×
Citations per year

Countries citing papers authored by Lin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 201987
3 201258
4 201951
5 201440
6 201928
7 201527
8 201324
9 201520
10 201417
11 201313
12 20198
13 20147
14 20146
15 20213
16 20253
17 20213
18
[Effect of silencing Bmi-1 expression in reversing cisplatin resistance in lung cancer cells and its mechanism].
20142
19 20251
20 20251

About Lin Lv

Lin Lv is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Epidemiology, having authored 22 papers that have together received 555 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Advanced Glycation End Products research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Diabetes Treatment and Management (2 papers), Traditional Chinese Medicine Analysis (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Retinal Diseases and Treatments (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Cardiology and Cardiovascular Medicine (138 citations), Complementary and alternative medicine (41 citations), Biological Psychiatry (12 citations) and Cancer Research (70 citations). Lin Lv has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include De-min Yu, Chunjun Li, Hui Li, Kai Chen, Shaoyu Wu, Guohua Zhang, Saijun Zhou, Yuxin Zhuang, Pei Yu and Pei Yu. Their work appears in journals such as Cardiovascular Diabetology, Lipids in Health and Disease, Biomedicine & Pharmacotherapy, BMJ Open and Neuroscience.

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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