Lin Lu

192 papers receiving 5.4k citations

Lin Lu's Hit Papers

Orphan Nuclear Receptor NR4A3 Promotes Vascular Calcification via Histone Lactylation 2024 · 73 citations
730+1Years since publication204060

Peers

Lin Lu
Comparison fields: 5 of 107
  • Clinical Biochemistry 377
  • Nephrology 259
  • Cardiology and Cardiovascular Medicine 579
  • Cancer Research 149
  • Immunology 212
Replace Makoto Suzuki with:
Makoto Suzuki Japan
David J. Kennedy United States
Jong-Sung Park South Korea
Uwe J.F. Tietge Netherlands
Brian G. Drew Australia
Rémi Nevière France
Ruud A. Bank Netherlands
Tatsuro Ishida Japan
Michael T. Crow United States
Reiko Inagi Japan
Lin Lu relative to Makoto Suzuki Japan Makoto Suzuki's profile →
Citations per field
00.5×2×4×6.0×
Makoto Suzuki · 1×
Citations per year

Countries citing papers authored by Lin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018342
2 2019244
3 2011224
4 2008126
5 2015117
6 2020112
7 201693
8 201391
9 201478
10 201777
11 201174
12 200673
13
Orphan Nuclear Receptor NR4A3 Promotes Vascular Calcification via Histone Lactylation
Hit paper breakdown →
202473
14 201069
15 201568
16 201166
17
The impact of genetic variation on sensitivity to opioid analgesics in patients with postoperative pain: a systematic review and meta-analysis.
201565
18 201865
19 201464
20 200962

About Lin Lu

Lin Lu is a scholar working on Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Nephrology, Surgery and Immunology, having authored 197 papers that have together received 5.5k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (17 papers), Advanced Glycation End Products research (17 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Genetic Associations and Epidemiology (9 papers), Heart Failure Treatment and Management (8 papers), Cardiac Fibrosis and Remodeling (7 papers), Acute Kidney Injury Research (4 papers) and Cardiac Ischemia and Reperfusion (4 papers). The work is most often cited by research in Clinical Biochemistry (377 citations), Nephrology (259 citations), Cardiology and Cardiovascular Medicine (579 citations), Cancer Research (149 citations) and Immunology (212 citations). Lin Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ruiyan Zhang, Wei Feng Shen, Qiujing Chen, Xiao Qun Wang, Ke Yang, Ying H. Shen, Jian Hu, Weifeng Shen, Xiaoxiang Yan and Lei Cheng. Their work appears in journals such as Cardiovascular Diabetology, PLoS ONE, International Journal of Cardiology, Atherosclerosis and Journal of the American Heart Association.

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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