Bin Ye

667 citations
31 papers · 449 · h-index 13

Impact in

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

Papers in

    • RNA Interference and Gene Delivery 2
    • Epigenetics and DNA Methylation 2
    • Cancer-related Molecular Pathways 2

Bin Ye

29 papers receiving 441 citations

Peers

Bin Ye
Comparison fields: 5 of 82
  • Transplantation 64
  • Periodontics 25
  • Nephrology 24
  • Biotechnology 25
  • Genetics 77
Replace Akihiko Tamura with:
Akihiko Tamura Japan
Barry Mook‐Kanamori Netherlands
Thomas Welte Germany
Eric R. Wagner United States
Jian Deng China
Mio Kikuchi Japan
Marta Wegorzewska United States
Hugo Wolf Austria
Y. Azumi Japan
Jung‐Hyun Choi South Korea
Bin Ye relative to Akihiko Tamura Japan Akihiko Tamura's profile →
Citations per field
00.5×10×12.5×
Akihiko Tamura · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201264
2 201955
3 201547
4 201145
5 201128
6 200624
7 202123
8 201922
9 201222
10 201519
11 202116
12 202316
13 202112
14 201311
15 20178
16 20218
17 20195
18
[Effects and mechanisms of platelet-activating factor on the invasiveness of ovarian cancer cells in vitro].
20115
19 20224
20 20213

About Bin Ye

Bin Ye is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Genetics, having authored 31 papers that have together received 449 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Cancer-related Molecular Pathways (2 papers), Vestibular and auditory disorders (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Epigenetics and DNA Methylation (2 papers), Xenotransplantation and immune response (2 papers), MicroRNA in disease regulation (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Transplantation (64 citations), Periodontics (25 citations), Nephrology (24 citations), Biotechnology (25 citations) and Genetics (77 citations). Bin Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Wang, Shounan Yi, Xin Yan, Chaoyang Zhou, Shan Cheng, PingAn Hu, Yuanxin Liu, Sheng Liu, Zhaohui Mo and Jiandong Jiang. Their work appears in journals such as Transplantation, Biogerontology, Journal of Clinical Oncology, Cell Death Discovery and Cellular and Molecular Biology.

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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