Gavin S. Chu

517 citations
51 papers · 362 · h-index 12

Impact in

Papers in

Gavin S. Chu

48 papers receiving 360 citations

Peers

Gavin S. Chu
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 235
  • Cellular and Molecular Neuroscience 28
  • Electrochemistry 9
  • Oncology 28
  • Cognitive Neuroscience 21
Replace Mao-Tsuen Jeng with:
Mao-Tsuen Jeng United States
Wojciech Zareba United States
James Lee United States
Tina Baykaner United States
Ian Sabir United Kingdom
Ming‐Jim Yang United States
Slawomir Weretka Germany
Shuai Guo China
Celeen M. Khrestian United States
Julie K. Shade United States
Gavin S. Chu relative to Mao-Tsuen Jeng United States Mao-Tsuen Jeng's profile →
Citations per field
00.5×4.7×
Mao-Tsuen Jeng · 1×
Citations per year

Countries citing papers authored by Gavin S. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Gavin S. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin S. Chu. 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 Gavin S. Chu. The network helps show where Gavin S. Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 201335
3 201825
4 201621
5
Underreporting of minority AIDS deaths in San Francisco Bay area, 1985-86.
199021
6 200718
7 202118
8 201717
9 202016
10
#∃SAT: Projected Model Counting
201512
11 202112
12 202212
13 201710
14 201810
15 20208
16 20218
17 20178
18 20183
19 20213
20 20183

About Gavin S. Chu

Gavin S. Chu is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Epidemiology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 362 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (39 papers), Cardiac Arrhythmias and Treatments (26 papers), Cardiac electrophysiology and arrhythmias (25 papers), ECG Monitoring and Analysis (6 papers), Colorectal Cancer Treatments and Studies (1 paper), Neuroscience and Neural Engineering (1 paper), Folate and B Vitamins Research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (235 citations), Cellular and Molecular Neuroscience (28 citations), Electrochemistry (9 citations), Oncology (28 citations) and Cognitive Neuroscience (21 citations). Gavin S. Chu has collaborated with scholars based in United Kingdom, Brazil and New Zealand. Frequent co-authors include G. André Ng, Xin Li, Tiago P. Almeida, Fernando S. Schlindwein, João Salinet, Peter J. Stafford, Dhiraj Gupta, Gavin Willis, Christopher O’Shea and Wern Yew Ding. Their work appears in journals such as EP Europace, Frontiers in Physiology, Journal of Cardiovascular Electrophysiology, Chaos An Interdisciplinary Journal of Nonlinear Science and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact