Bin Ye

641 citations
29 papers · 428 · h-index 13

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Periodontics top 10%
    • Oral microbiology and periodontitis research

Papers in

    • RNA modifications and cancer 2
    • RNA Interference and Gene Delivery 2
    • Cell death mechanisms and regulation 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer-related Molecular Pathways 2

Bin Ye

27 papers receiving 424 citations

Peers

Bin Ye
Comparison fields: 5 of 86
  • Transplantation 65
  • Periodontics 27
  • Nephrology 30
  • Genetics 85
  • Biotechnology 23
Replace Francesca Testa with:
Francesca Testa Italy
Thompson Js United States
Akihiko Tamura Japan
Anna Cebula United States
Barry Mook‐Kanamori Netherlands
Marta Wegorzewska United States
Edward S. Ramsay Russia
Yahya Sohrabi Germany
Teruyuki Sano United States
Ebenezer Satyaraj United States
Bin Ye relative to Francesca Testa Italy Francesca Testa's profile →
Citations per field
00.5×10×16.3×
Francesca Testa · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 201953
3 201546
4 201139
5 201128
6 200624
7 202123
8 201921
9 201221
10 201519
11 202315
12 202113
13 202112
14 201311
15 20218
16 20178
17 20195
18
[Effects and mechanisms of platelet-activating factor on the invasiveness of ovarian cancer cells in vitro].
20115
19 20224
20 20243

About Bin Ye

Bin Ye is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Surgery, having authored 29 papers that have together received 428 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Xenotransplantation and immune response (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (2 papers), RNA modifications and cancer (2 papers), RNA Interference and Gene Delivery (2 papers), Cell death mechanisms and regulation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Transplantation (65 citations), Periodontics (27 citations), Nephrology (30 citations), Genetics (85 citations) and Biotechnology (23 citations). Bin Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Wang, Chaoyang Zhou, Shan Cheng, Yuanxin Liu, Xin Yan, Jiandong Jiang, Shounan Yi, Sheng Liu, Zhaohui Mo and Graciela de Boccardo. Their work appears in journals such as Journal of Clinical Oncology, Transplantation, Biogerontology, Cell Death Discovery and Journal of Proteome Research.

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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