Zeng-Quan Yang

838 citations
20 papers · 653 indexed · h-index 12
Topics
Epigenetics and DNA Methylation (10 papers)RNA modifications and cancer (5 papers)Cancer-related gene regulation (5 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Zeng-Quan Yang

19 papers receiving 639 citations

Peers

Zeng-Quan Yang
Comparison fields: 5 of 75
  • Molecular Biology 488
  • Oncology 168
  • Cancer Research 151
  • Cell Biology 73
  • Pulmonary and Respiratory Medicine 67
Replace Changyong Wei with:
Changyong Wei United States
Avinash Ghanate India
Beicong Ma United States
Tingting Chen China
Heather M. Selby United States
Makoto Isono Japan
Catherine A. Vaughan United States
Carol F. Franks United States
Summar Siddiqui United States
Joanne M. Munck United Kingdom
Zeng-Quan Yang relative to Changyong Wei United States Changyong Wei's profile →
Citations per field
00.5×1.5×
Changyong Wei · 1×
Citations per year

Countries citing papers authored by Zeng-Quan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zeng-Quan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeng-Quan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zeng-Quan Yang. A scholar is included among the top collaborators of Zeng-Quan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zeng-Quan Yang. Zeng-Quan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 0
4 41
5 36
6 29
7 32
8 15
9 29
10 3
11
HDAC2 overexpression correlates with aggressive clinicopathological features and DNA-damage response pathway of breast cancer.
62
12 2
13
Histone demethylase GASC1, a potential prognostic and predictive marker in esophageal squamous cell carcinoma.
15
14 1
15 1
16 3
17 81
18 81
19 54
20
Identification of cIAP1 as a candidate target gene within an amplicon at 11q22 in esophageal squamous cell carcinomas.
164

About Zeng-Quan Yang

Zeng-Quan Yang is a scholar working on Cancer Research, Safety, Risk, Reliability and Quality and Molecular Biology, having authored 20 papers that have together received 653 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cancer Research (151 citations), Molecular Biology (488 citations) and Oncology (168 citations). Zeng-Quan Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stephen P. Ethier, Gang Liu, Yuanyuan Jiang, Atiphan Pimkhaokham, Issei Imoto, Yutaka Shimada, Hitoshi Tsuda, Masayuki Imamura, Misao Ohki and Johji Inazawa. Their work appears in journals such as Cancer Research, Scientific Reports and Signal Transduction and Targeted Therapy.

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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