Xi‐Chen Wu

28 papers receiving 2.6k citations

Peers

Xi‐Chen Wu
Comparison fields: 5 of 95
  • Pulmonary and Respiratory Medicine 1.1k
  • Cardiology and Cardiovascular Medicine 653
  • Endocrine and Autonomic Systems 192
  • Biochemistry 220
  • Physiology 522
Replace Ayako Makino with:
Ayako Makino United States
Lan Zhao United Kingdom
Lucie H. Clapp United Kingdom
Eddie L. Greene United States
Alexander Paliege Germany
Gwyneth Harry Canada
Margaret Nilsen United Kingdom
Andrea Hartner Germany
M. S. Simonson United States
Katalin Kauser United States
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Citations per field
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Ayako Makino · 1×
Citations per year

Countries citing papers authored by Xi‐Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xi‐Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi‐Chen Wu. 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 Xi‐Chen Wu. The network helps show where Xi‐Chen Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004400
2 2012398
3 2003308
4 2003231
5 2003224
6 2004160
7 2002145
8 2001128
9 200284
10 200479
11 200162
12 199960
13 201660
14 200850
15 201440
16 200236
17 202233
18 200232
19 200125
20 200622

About Xi‐Chen Wu

Xi‐Chen Wu is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Neuroscience of respiration and sleep (6 papers), Ion channel regulation and function (5 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiovascular Conditions and Treatments (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cardiology and Cardiovascular Medicine (653 citations), Endocrine and Autonomic Systems (192 citations), Biochemistry (220 citations) and Physiology (522 citations). Xi‐Chen Wu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Evangelos D. Michelakis, Stephen L. Archer, Kyoko Hashimoto, M. Sean McMurtry, Jason R.B. Dyck, Sébastien Bonnet, Bernard Thébaud, Alois Haromy, Gwyneth Harry and Ali Nsair. Their work appears in journals such as Circulation Research, Circulation, The FASEB Journal, Pediatric Research and Advances in experimental medicine and biology.

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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