Lin Wu

1.9k citations
86 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

Lin Wu

82 papers receiving 1.3k citations

Lin Wu's Hit Papers

Mitochondrial quality control mechanisms as therapeutic targets in doxorubicin-induced cardiotoxicity 2022 · 171 citations
1710+1+2Years since publication50100150

Peers

Lin Wu
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 263
  • Epidemiology 332
  • Pulmonary and Respiratory Medicine 285
  • Cancer Research 86
  • Transplantation 13
Replace Luca Ampollini with:
Luca Ampollini Italy
Kazuko Kawamura Japan
Rakesh Uppal United Kingdom
Claire Rigothier France
Nishant Patel United States
Beata Naumnik Poland
Klaus Distelmaier Austria
Aurélie Mailhac Lebanon
Joanna Natorska Poland
Shing‐Jong Lin Taiwan
Lin Wu relative to Luca Ampollini Italy Luca Ampollini's profile →
Citations per field
00.5×4.1×
Luca Ampollini · 1×
Citations per year

Countries citing papers authored by Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitochondrial quality control mechanisms as therapeutic targets in doxorubicin-induced cardiotoxicity
Hit paper breakdown →
2022171
2 2014162
3 2018140
4 201593
5 202251
6 200538
7 202236
8 201336
9 201735
10 200835
11 202433
12 201930
13 202329
14 202428
15 201126
16 201925
17 201323
18 202015
19 201514
20 201914

About Lin Wu

Lin Wu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Kawasaki Disease and Coronary Complications (6 papers), Ferroptosis and cancer prognosis (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Coronary Artery Anomalies (3 papers), RNA modifications and cancer (3 papers), Vasculitis and related conditions (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (263 citations), Epidemiology (332 citations), Pulmonary and Respiratory Medicine (285 citations), Cancer Research (86 citations) and Transplantation (13 citations). Lin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Ren, Yingmei Zhang, Qu‐ming Zhao, Xiaojing Ma, Litao Wang, Yuxin Du, Conway Niu, Guoying Huang, Guoying Huang and Fang Liu. Their work appears in journals such as Medicine, Journal of Vascular and Interventional Radiology, BMC Pediatrics, PEDIATRICS and Acta Pharmacologica Sinica.

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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