Lin Wu

1.8k citations
86 papers · 1.2k indexed · 1 hit paper · h-index 17

Lin Wu

81 papers receiving 1.2k citations

Hit Papers

Mitochondrial quality control mechanisms as therapeutic t...152202220262023202450100150

Peers

Lin Wu
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 326
  • Epidemiology 422
  • Pulmonary and Respiratory Medicine 376
  • Critical Care and Intensive Care Medicine 43
  • Transplantation 19
Replace Luca Ampollini with:
Luca Ampollini Italy
Marcus Fischer Germany
Jeffrey E. Keenan United States
Andja Bojic Austria
Claire Rigothier France
Giovanni Pellegrini Italy
Jin Seok Jeon South Korea
Neal B. Blatt United States
Sanjeev Aggarwal United States
Lin Wu relative to Luca Ampollini Italy Luca Ampollini's profile →
Citations per field
00.5×4.3×
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-authorship network

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
#Work
1 20254
2 20250
3 20244
4 20243
5 202327
6 202251
7 20211
8 20205
9 201913
10 20193
11 20190
12 201928
13 201914
14 2018134
15 20186
16 201590
17 20121
18
[Analysis on treatment outcomes in five patients with combined en bloc liver and pancreas transplantation].
20111
19 20087
20 200835

About Lin Wu

Lin Wu is a scholar working on Transplantation, Pulmonary and Respiratory Medicine, Hepatology, Surgery and Cardiology and Cardiovascular Medicine, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (18 papers), Congenital Heart Disease Studies (17 papers), Coronary Artery Anomalies (9 papers), Renal Transplantation Outcomes and Treatments (7 papers), Kawasaki Disease and Coronary Complications (7 papers), Cardiovascular Issues in Pregnancy (6 papers), Cardiac Structural Anomalies and Repair (5 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (326 citations), Epidemiology (422 citations), Pulmonary and Respiratory Medicine (376 citations), Critical Care and Intensive Care Medicine (43 citations) and Transplantation (19 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, PEDIATRICS, Journal of Vascular and Interventional Radiology, Acta Pharmacologica Sinica and BMC Pediatrics.

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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