Steven Cha

413 citations
16 papers · 295 · h-index 7

Impact in

Papers in

    • Platelet Disorders and Treatments 4
    • Blood groups and transfusion 2
    • Acute Myeloid Leukemia Research 1
    • Heart Rate Variability and Autonomic Control 4
    • Cardiac Arrhythmias and Treatments 3
    • Cardiac electrophysiology and arrhythmias 2

Steven Cha

15 papers receiving 284 citations

Peers

Steven Cha
Comparison fields: 5 of 50
  • Hematology 153
  • Internal Medicine 12
  • Cardiology and Cardiovascular Medicine 72
  • Neurology 23
  • Genetics 24
Replace Barbara Marinoni with:
Barbara Marinoni Italy
Pia S. Sperber Germany
Marta Khavunka Ukraine
Gary P. Colón United States
Maria Łukasik Poland
Jae‐Jun Bahn South Korea
Hajime Iwama Japan
Masaaki Saiki Japan
Taehwan Yoo United States
Steven Cha relative to Barbara Marinoni Italy Barbara Marinoni's profile →
Citations per field
00.5×2×4×6.5×
Barbara Marinoni · 1×
Citations per year

Countries citing papers authored by Steven Cha

Since Specialization
Citations

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

Fields of papers citing papers by Steven Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201197
2 201246
3 202335
4 201133
5 201126
6 202324
7 201010
8 20107
9 20256
10 20245
11 20142
12 20111
13 20251
14 20221
15 20111
16 20250

About Steven Cha

Steven Cha is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Neurology, Genetics and Internal Medicine, having authored 16 papers that have together received 295 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (4 papers), Platelet Disorders and Treatments (4 papers), Vagus Nerve Stimulation Research (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Blood groups and transfusion (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (153 citations), Internal Medicine (12 citations), Cardiology and Cardiovascular Medicine (72 citations), Neurology (23 citations) and Genetics (24 citations). Steven Cha has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Henrik Toft Sørensen, Annette Østergaard Jensen, Mette Nørgaard, Sean Z. Zhao, Dóra Körmendiné Farkas, Malene Cramer Engebjerg, Reimar Wernich Thomsen, Marianne Tang Severinsen, Merete Lund Mægbæk and Kalyanam Shivkumar. Their work appears in journals such as American Journal of Hematology, Heart Rhythm, Blood, American Journal of Medical Quality and The Journal of Physiology.

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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