Dan Ye

3.7k citations
124 papers · 2.8k indexed · h-index 31

Dan Ye

116 papers receiving 2.8k citations

Peers

Dan Ye
Comparison fields: 5 of 144
  • Applied Microbiology and Biotechnology 182
  • Cardiology and Cardiovascular Medicine 587
  • Immunology 406
  • Geriatrics and Gerontology 66
  • Molecular Biology 1.1k
Replace Satoshi Fujii with:
Satoshi Fujii Japan
Keiko Suzuki Japan
Juan Wang China
Xinran Li China
Azeddine Ibrahimi Morocco
Qingling Zhang China
Lara Gibellini Italy
Tomohiro Nakayama Japan
Lobelia Samavati United States
Dan Ye relative to Satoshi Fujii Japan Satoshi Fujii's profile →
Citations per field
00.5×7.6×
Satoshi Fujii · 1×
Citations per year

Countries citing papers authored by Dan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20244
4 20240
5 202314
6 20231
7 20230
8 20234
9 20232
10 202153
11 202110
12 20217
13 202060
14
Abstract 12335: Acacetin, a Potent Transient Outward Current Blocker, May Serve as a Novel Therapeutic for KCND3-encoded Kv4.3 Gain-of-function-associated Brugada Syndrome
20191
15 201814
16 20182
17 20171
18 201260
19 20105
20 201029

About Dan Ye

Dan Ye is a scholar working on Applied Microbiology and Biotechnology, Cardiology and Cardiovascular Medicine, Ophthalmology, Oncology and Cancer Research, having authored 124 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (25 papers), Cholesterol and Lipid Metabolism (10 papers), Drug Transport and Resistance Mechanisms (8 papers), Glaucoma and retinal disorders (7 papers), Advanced Breast Cancer Therapies (6 papers), Influenza Virus Research Studies (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (182 citations), Cardiology and Cardiovascular Medicine (587 citations), Immunology (406 citations), Geriatrics and Gerontology (66 citations) and Molecular Biology (1.1k citations). Dan Ye has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Steven R. Blanke, Michael J. Ackerman, David J. Tester, Theo J.C. van Berkel, Miranda Van Eck, David C. Willhite, Bing‐Liang Ma, George Kemble, Reeni B. Hildebrand and Hong Jin. Their work appears in journals such as Heart Rhythm, Circulation Genomic and Precision Medicine, PLoS ONE, Cancer Research and Journal of Glaucoma.

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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