Lai‐Ming Yung

1.1k total citations
15 papers, 644 citations indexed

About

Lai‐Ming Yung is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lai‐Ming Yung has authored 15 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Genetics and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lai‐Ming Yung's work include Pulmonary Hypertension Research and Treatments (6 papers), Estrogen and related hormone effects (4 papers) and Hormonal Regulation and Hypertension (4 papers). Lai‐Ming Yung is often cited by papers focused on Pulmonary Hypertension Research and Treatments (6 papers), Estrogen and related hormone effects (4 papers) and Hormonal Regulation and Hypertension (4 papers). Lai‐Ming Yung collaborates with scholars based in United States, Hong Kong and Canada. Lai‐Ming Yung's co-authors include Paul B. Yu, Yü Huang, Xiaoqiang Yao, F Leung, Ravindra Kumar, Ismail Laher, R. Scott Pearsall, Gonzalo Sánchez‐Duffhues, Ivana Nikolić and Peter ten Dijke and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Lai‐Ming Yung

15 papers receiving 634 citations

Peers

Lai‐Ming Yung
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 248
  • Molecular Biology 189
  • Cardiology and Cardiovascular Medicine 158
  • Surgery 94
  • Endocrinology, Diabetes and Metabolism 72
Replace Konrad Wolf with:
Konrad Wolf Germany
En‐Hui Yao Japan
JM Gerrard Canada
Milica Jakábová Switzerland
R. Käser-Glanzmann Switzerland
Anja T. Umbach Germany
Sijia Liang China
Jason K. Higa United States
Valdeci da Cunha United States
Konrad Wolf Germany View profile →
Citations per field, relative to Lai‐Ming Yung
Lai‐Ming Yung · 1×
Citations per year, relative to Lai‐Ming Yung
Lai‐Ming Yung · 1×

Countries citing papers authored by Lai‐Ming Yung

Since Specialization
Citations

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

Fields of papers citing papers by Lai‐Ming Yung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai‐Ming Yung. 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 Lai‐Ming Yung. The network helps show where Lai‐Ming Yung may publish in the future.

Co-authorship network of co-authors of Lai‐Ming Yung

This figure shows the co-authorship network connecting the top 25 collaborators of Lai‐Ming Yung. A scholar is included among the top collaborators of Lai‐Ming Yung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lai‐Ming Yung. Lai‐Ming Yung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 137
3
Abstract 18906: ACTRIIA-Fc Rebalances BMP and Activin/TGF-β Signaling to Attenuate Experimental Pulmonary Hypertension
1
4 102
5 35
6 67
7 1
8 19
9 32
10 28
11 52
12 36
13 17
14 97
15 18

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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2026