Ly Tu

6.5k citations
107 papers · 4.3k · h-index 35

Impact in

Papers in

Ly Tu

98 papers receiving 4.3k citations

Peers

Ly Tu
Comparison fields: 5 of 103
  • Pulmonary and Respiratory Medicine 3.3k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Genetics 358
  • Hepatology 260
  • Cancer Research 360
Replace Laimute Taraseviciene‐Stewart with:
Laimute Taraseviciene‐Stewart United States
Grażyna Kwapiszewska Austria
Robert Voswinckel Germany
Karen A. Fagan United States
Barbara Girerd France
Yasunori Kasahara Japan
Georg Hansmann Germany
Kimio Satoh Japan
Saadia Eddahibi France
Christos Chatziantoniou France
Ly Tu relative to Laimute Taraseviciene‐Stewart United States Laimute Taraseviciene‐Stewart's profile →
Citations per field
00.5×4.6×
Laimute Taraseviciene‐Stewart · 1×
Citations per year

Countries citing papers authored by Ly Tu

Since Specialization
Citations

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

Fields of papers citing papers by Ly Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012252
2 2009243
3 2016191
4 2007179
5 2013164
6 2014161
7 2009160
8 2006148
9 2015147
10 2009145
11 2014135
12 2015127
13 2009124
14 2018117
15 2010105
16 201296
17 201994
18 201989
19 201673
20 201272

About Ly Tu

Ly Tu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Oncology, having authored 107 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (83 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Vascular Anomalies and Treatments (8 papers), Cardiovascular Issues in Pregnancy (8 papers), Renin-Angiotensin System Studies (7 papers), Eosinophilic Disorders and Syndromes (7 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (3.3k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Genetics (358 citations), Hepatology (260 citations) and Cancer Research (360 citations). Ly Tu has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Christophe Guignabert, Marc Humbert, Alice Huertas, Saadia Eddahibi, Élie Fadel, Serge Adnot, David Montani, Raphaël Thuillet, Laurent Savale and Carole Phan. Their work appears in journals such as European Respiratory Journal, American Journal of Respiratory and Critical Care Medicine, CHEST Journal, Cardiovascular Research and Journal of Clinical Investigation.

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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