Ying‐Wei Lan

1.2k citations
41 papers · 826 · h-index 16

Impact in

Papers in

Ying‐Wei Lan

40 papers receiving 821 citations

Peers

Ying‐Wei Lan
Comparison fields: 5 of 90
  • Genetics 189
  • Pulmonary and Respiratory Medicine 230
  • Biological Psychiatry 11
  • Cancer Research 63
  • Molecular Biology 285
Replace Charalambos Michaeloudes with:
Charalambos Michaeloudes United Kingdom
Kaoru Morita Japan
Guang Wang China
Guangneng Liao China
Leonardo Pedrazza Brazil
Weizhen Wu China
Min Kyoung Kim South Korea
Xiaomei Liu China
Ying‐Wei Lan relative to Charalambos Michaeloudes United Kingdom Charalambos Michaeloudes's profile →
Citations per field
00.5×3.3×
Charalambos Michaeloudes · 1×
Citations per year

Countries citing papers authored by Ying‐Wei Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Wei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015176
2 202364
3 201661
4 201451
5 201540
6 202036
7 201532
8 201928
9 201926
10 201923
11 201922
12 202121
13 202120
14 201719
15 201818
16 201816
17 202315
18 202214
19 202314
20 202413

About Ying‐Wei Lan

Ying‐Wei Lan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Pathology and Forensic Medicine, having authored 41 papers that have together received 826 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Mesenchymal stem cell research (3 papers), Aldose Reductase and Taurine (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Hemophilia Treatment and Research (2 papers), Respiratory Support and Mechanisms (2 papers), Cancer Mechanisms and Therapy (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Genetics (189 citations), Pulmonary and Respiratory Medicine (230 citations), Biological Psychiatry (11 citations), Cancer Research (63 citations) and Molecular Biology (285 citations). Ying‐Wei Lan has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Chuan‐Mu Chen, Kowit‐Yu Chong, Kong‐Bung Choo, Han-Pin Kuo, Hsiao‐Ling Chen, Chih‐Ching Yen, Tsung‐Teng Huang, Hsin‐Chih Lai, Min‐Yu Tu and David M. Ojcius. Their work appears in journals such as Scientific Reports, Stem Cell Research & Therapy, Frontiers in Cell and Developmental Biology, International Journal of Molecular Sciences and Cell Stress and Chaperones.

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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