Ke Yang

3.0k citations
86 papers · 2.2k · h-index 27

Impact in

Papers in

    • RNA modifications and cancer 5
    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 3
    • Platelet Disorders and Treatments 8

Ke Yang

81 papers receiving 2.2k citations

Peers

Ke Yang
Comparison fields: 5 of 127
  • Cancer Research 359
  • Hematology 165
  • Oncology 362
  • Immunology 279
  • Molecular Biology 904
Replace Shotaro Sakisaka with:
Shotaro Sakisaka Japan
Véronique Barbu France
Bjoern Titz Switzerland
Sheng Gao China
Jinhua Xu China
Sabrina Angelini Italy
Kazimierz Węglarczyk Poland
Lu Li China
Martin E. Dowty United States
Shyam S. Chauhan India
Ke Yang relative to Shotaro Sakisaka Japan Shotaro Sakisaka's profile →
Citations per field
00.5×3.3×
Shotaro Sakisaka · 1×
Citations per year

Countries citing papers authored by Ke Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006187
2 2021181
3 1988161
4
Establishment of a human in vitro mesothelial cell model system for investigating mechanisms of asbestos-induced mesothelioma.
1989120
5
Biomarkers of polycyclic aromatic hydrocarbon-DNA damage and cigarette smoke exposures in paired maternal and newborn blood samples as a measure of differential susceptibility.
200187
6 200579
7 200572
8 200858
9 200556
10
Development of tumorigenicity in simian virus 40-immortalized human bronchial epithelial cell lines.
199355
11 200648
12 200646
13 199944
14 200143
15 202042
16 199539
17 199438
18 201537
19 201434
20
Differential interactions between GSTM1 and NAT2 genotypes on aromatic DNA adduct level and HPRT mutant frequency in lung cancer patients and population controls.
200133

About Ke Yang

Ke Yang is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Cancer Research, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Carcinogens and Genotoxicity Assessment (6 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), DNA Repair Mechanisms (4 papers), Hepatitis B Virus Studies (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (359 citations), Hematology (165 citations), Oncology (362 citations), Immunology (279 citations) and Molecular Biology (904 citations). Ke Yang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Masahiro Hitomi, Dennis W. Stacey, Kari Hemminki, Roger R. Reddel, John F. Lechner, Curtis C. Harris, Mary G. McMenamin, Brenda I. Gerwin, Masao Miyashita and Yaqi Pan. Their work appears in journals such as Scientific Reports, Carcinogenesis, Viruses, Frontiers in Public Health and Biomedicines.

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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