Tzu-Wang Lang

1.2k citations
36 papers · 911 · h-index 15

Impact in

Papers in

Tzu-Wang Lang

36 papers receiving 780 citations

Peers

Tzu-Wang Lang
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 646
  • Radiology, Nuclear Medicine and Imaging 406
  • Pathology and Forensic Medicine 261
  • Emergency Medicine 132
  • Anesthesiology and Pain Medicine 28
Replace Tan Watanabe with:
Tan Watanabe Japan
Herbert Gold United States
Daniel P. McKown United States
EDWARD M. KHOURI United States
RICHARD W. ECKSTEIN United States
Jun Tamai Japan
Demetrio Sodi‐Pallares Mexico
Pritpal S. Puri United States
M. Mauser Germany
J. Scott Kabas United States
Tzu-Wang Lang relative to Tan Watanabe Japan Tan Watanabe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tzu-Wang Lang

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Wang Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Wang Lang. 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 Tzu-Wang Lang. The network helps show where Tzu-Wang Lang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974181
2 1975155
3 197676
4 197565
5 197861
6 196552
7 197440
8 197029
9 198325
10 197624
11 197622
12 197419
13 196619
14 197015
15 197014
16 197612
17 198112
18 197111
19 197511
20 19729

About Tzu-Wang Lang

Tzu-Wang Lang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery and Pathology and Forensic Medicine, having authored 36 papers that have together received 911 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (18 papers), Cardiac electrophysiology and arrhythmias (14 papers), Mechanical Circulatory Support Devices (8 papers), Acute Myocardial Infarction Research (8 papers), Cardiac Arrhythmias and Treatments (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Cardiac Arrest and Resuscitation (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (646 citations), Radiology, Nuclear Medicine and Imaging (406 citations), Pathology and Forensic Medicine (261 citations), Emergency Medicine (132 citations) and Anesthesiology and Pain Medicine (28 citations). Tzu-Wang Lang has collaborated with scholars based in United States. Frequent co-authors include Eliot Corday, Samuel Meerbaum, Jules Osher, Herbert Gold, Steven Rubins, Costantino Costantini, Leo Kaplan, Keiichi Hashimoto, Victor J. Rosen and Jean‐Christian Farcot. Their work appears in journals such as The American Journal of Cardiology, American Heart Journal, Journal of the American College of Cardiology, Diseases of the Chest and Archives of Internal Medicine.

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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