Wei‐Ren Lan

21 papers receiving 485 citations

Wei‐Ren Lan's Hit Papers

Single-cell atlas of human infrapatellar fat pad and synovium implicates APOE signaling in osteoarthritis pathology 2024 · 61 citations
610+1Years since publication204060

Peers

Wei‐Ren Lan
Comparison fields: 5 of 92
  • Cancer Research 111
  • Orthopedics and Sports Medicine 50
  • Rheumatology 83
  • Genetics 55
  • Pathology and Forensic Medicine 87
Replace Robert B. Good with:
Robert B. Good United Kingdom
Shuqiang Li China
Daniela Kiepe Germany
Anri Inaki Japan
Florence Lima United States
Cui Chen China
Keizo Furukawa Japan
Yifeng Zhang China
Giacomo Bellomo Italy
Wei‐Ren Lan relative to Robert B. Good United Kingdom Robert B. Good's profile →
Citations per field
00.5×2.9×
Robert B. Good · 1×
Citations per year

Countries citing papers authored by Wei‐Ren Lan

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ren Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ren Lan. 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 Wei‐Ren Lan. The network helps show where Wei‐Ren Lan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2
Single-cell atlas of human infrapatellar fat pad and synovium implicates APOE signaling in osteoarthritis pathology
Hit paper breakdown →
202461
3 201948
4 201940
5 201838
6 201936
7 201933
8 202223
9 202316
10 200612
11 20257
12 20197
13 20227
14 20204
15
Acute Thrombosis of Double Major Coronary Arteries Associated with Amphetamine Abuse
20073
16 20223
17 20113
18 20202
19
Intracardiac Thrombi, Pulmonary Embolism, Atrial Septal Defect, and Polycythemia Vera
20081
20 20201

About Wei‐Ren Lan

Wei‐Ren Lan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Rheumatology, Molecular Biology and Cancer Research, having authored 24 papers that have together received 493 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Climate variability and models (3 papers), Blood Pressure and Hypertension Studies (3 papers), MicroRNA in disease regulation (2 papers), Extracellular vesicles in disease (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Cancer Research (111 citations), Orthopedics and Sports Medicine (50 citations), Rheumatology (83 citations), Genetics (55 citations) and Pathology and Forensic Medicine (87 citations). Wei‐Ren Lan has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Yue Zhou, Chao Sun, Rui Zuo, Minghan Liu, Junlong Wu, Wenkai Wang, Jie Li, Chao Zhang, Bin Li and Ziwen Wang. Their work appears in journals such as Stem Cell Research & Therapy, Advanced Science, Journal of the American College of Cardiology, Scientific Reports and World Neurosurgery.

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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