Willie Lin

1.0k citations
26 papers · 733 · h-index 12

Impact in

Papers in

Willie Lin

26 papers receiving 691 citations

Peers

Willie Lin
Comparison fields: 5 of 121
  • Biotechnology 70
  • Genetics 79
  • Plant Science 204
  • Orthopedics and Sports Medicine 47
  • Management Science and Operations Research 57
Replace Shu Chen with:
Shu Chen China
Rashmi Gupta India
Kyoung‐Won Cho South Korea
Lili Liu China
Wenyan Zhong United States
Na Ding China
Wenli Li China
Ronald L. Berry United States
Gregory R. Smith United States
Willie Lin relative to Shu Chen China Shu Chen's profile →
Citations per field
00.5×6.7×
Shu Chen · 1×
Citations per year

Countries citing papers authored by Willie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Willie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995230
2 2010125
3 201053
4 200253
5 199231
6 201028
7 201727
8 201826
9 201725
10 199613
11 201013
12 201712
13 201911
14 202110
15 202010
16 201810
17 201610
18 201710
19
Allogeneic human umbilical cord-derived mesenchymal stem cells reduce lipopolysaccharide-induced inflammation and acute lung injury.
20208
20 20217

About Willie Lin

Willie Lin is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Biotechnology, having authored 26 papers that have together received 733 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Neonatal Respiratory Health Research (8 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Transgenic Plants and Applications (3 papers), MicroRNA in disease regulation (2 papers), Respiratory Support and Mechanisms (2 papers), Birth, Development, and Health (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Biotechnology (70 citations), Genetics (79 citations), Plant Science (204 citations), Orthopedics and Sports Medicine (47 citations) and Management Science and Operations Research (57 citations). Willie Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu-Hsiang Huang, Juite Wang, Subbaratnam Muthukrishnan, Karabi Datta, Swapan K. Datta, C. S. Anuratha, Ingo Potrykus, Hsiu‐Chu Chou, Frederick O. Mueller and Barry P. Boden. Their work appears in journals such as Oncotarget, Stem Cell Research & Therapy, BioMetals, Journal of Agricultural and Food Chemistry and Technovation.

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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