Bin Ye

141 papers receiving 5.7k citations

Bin Ye's Hit Papers

Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease 2022 · 139 citations
1390+1+2Years since publication4080120

Peers

Bin Ye
Comparison fields: 5 of 125
  • Cardiology and Cardiovascular Medicine 1.6k
  • Reproductive Medicine 273
  • Spectroscopy 352
  • Molecular Biology 1.3k
  • Transplantation 51
Replace Judith A. Berliner with:
Judith A. Berliner United States
Hiroshi Hiai Japan
David P. Hajjar United States
Vera Jankowski Germany
Rosanne M. Crooke United States
Johannes A. Schmid Austria
Ling Li China
Teake Kooistra Netherlands
Qiang Xia China
Piotr Dzięgiel Poland
Bin Ye relative to Judith A. Berliner United States Judith A. Berliner's profile →
Citations per field
00.5×2×4×6×8×9.4×
Judith A. Berliner · 1×
Citations per year

Countries citing papers authored by Bin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998648
2 2006417
3 2007299
4 2001231
5
Haptoglobin-alpha subunit as potential serum biomarker in ovarian cancer: identification and characterization using proteomic profiling and mass spectrometry.
2003227
6 2003193
7 2006177
8 2021145
9 2006142
10
Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease
Hit paper breakdown →
2022139
11 2003136
12 2008121
13 1998113
14 2005105
15 200289
16 200680
17 201976
18 201975
19 200071
20 200869

About Bin Ye

Bin Ye is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Orthodontics, Genetics and Reproductive Medicine, having authored 152 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (7 papers), Orthodontics and Dentofacial Orthopedics (7 papers), Liver Disease and Transplantation (6 papers), Mesenchymal stem cell research (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Synthesis and biological activity (5 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Reproductive Medicine (273 citations), Spectroscopy (352 citations), Molecular Biology (1.3k citations) and Transplantation (51 citations). Bin Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jonathan C. Makielski, Michael John Ackerman, Craig T. January, Zheng Fan, David J. Tester, Carmen R. Valdivia, Gail A. Robertson, Zhengfeng Zhou, Bert L. Vallée and Wolfgang Maret. Their work appears in journals such as Scientific Reports, Medicine, Circulation, Journal of Medicinal Chemistry and Heart Rhythm.

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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