Emily J. Tsai

21.8k citations
27 papers · 1.6k indexed · 1 hit paper · h-index 15

Emily J. Tsai

25 papers receiving 1.5k citations

Hit Papers

COVID-19 and Cardiovascular Disease251202120262022202450100150200250

Peers

Emily J. Tsai
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 568
  • Transplantation 44
  • Molecular Biology 782
  • Infectious Diseases 187
  • Neurology 126
Replace Naohiko Ueda with:
Naohiko Ueda Japan
Nobuo Tsuboi Japan
Ali Poyan Mehr United States
Takafumi Oka Japan
Paulo Rodrigues‐Santos Portugal
Vijay Patel United States
Susan Parker United States
Wei Qu China
Teresa Infante Italy
Yuji Matsumoto Japan
Emily J. Tsai relative to Naohiko Ueda Japan Naohiko Ueda's profile →
Citations per field
00.5×10×14×
Naohiko Ueda · 1×
Citations per year

Countries citing papers authored by Emily J. Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Emily J. Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily J. Tsai. 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 Emily J. Tsai. The network helps show where Emily J. Tsai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202315
4 202230
5 20217
6
COVID-19 and Cardiovascular Diseasebreakdown →
2021251
7 202110
8 201919
9 20195
10 2017294
11 201551
12 20150
13 2014146
14 201437
15 201314
16 20134
17
Task Force on Practice Guidelines Report of the American College of Cardiology Foundation/American Heart Association 2013 ACCF/AHA Guideline for the Management of Heart Failure: Executive Summary: A
20135
18 201154
19 2009316
20 19982

About Emily J. Tsai

Emily J. Tsai is a scholar working on Cardiology and Cardiovascular Medicine, Transplantation and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), Nitric Oxide and Endothelin Effects (4 papers), Cardiovascular Effects of Exercise (4 papers), Cardiac Fibrosis and Remodeling (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (568 citations), Transplantation (44 citations) and Molecular Biology (782 citations). Emily J. Tsai has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include David A. Kass, Erhe Gao, Nathan R. Tucker, Steven R. Houser, Scott J. Cameron, Timothy A. Chan, Clifford V. Harding, David A. Zidar, John Barnard and John C. Tilton. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

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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