Zhen Quan

735 citations
30 papers · 577 · h-index 14

Impact in

Papers in

Zhen Quan

28 papers receiving 575 citations

Peers

Zhen Quan
Comparison fields: 5 of 97
  • Cancer Research 172
  • Health, Toxicology and Mutagenesis 141
  • Process Chemistry and Technology 22
  • Molecular Biology 268
  • Pulmonary and Respiratory Medicine 109
Replace Dequan Kong with:
Dequan Kong China
Huiran Lin China
Lisa A. Bailey United States
Helotônio Carvalho Brazil
Jana Schmuczerová Czechia
Jianwei Dai China
R. Taalman Netherlands
Justin Goodwin United States
Xiaolian Song China
Rungui Niu China
Zhen Quan relative to Dequan Kong China Dequan Kong's profile →
Citations per field
00.5×6.3×
Dequan Kong · 1×
Citations per year

Countries citing papers authored by Zhen Quan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017154
2 201778
3 202036
4 201730
5 201429
6 202423
7 201922
8 201822
9 201720
10 201920
11 201517
12 202214
13 202214
14 202113
15 201413
16 201413
17 201911
18 20218
19 20208
20 20227

About Zhen Quan

Zhen Quan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 577 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Scheduling and Optimization Algorithms (3 papers), Cancer-related Molecular Pathways (3 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Cancer Research (172 citations), Health, Toxicology and Mutagenesis (141 citations), Process Chemistry and Technology (22 citations), Molecular Biology (268 citations) and Pulmonary and Respiratory Medicine (109 citations). Zhen Quan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaohou Wu, Chunli Luo, Zhiyun Ouyang, Hongxing Zhang, Ye Deng, Xu Sun, Yaqing Wang, Xiaoke Wang, Yanni Hao and Yang Xia. Their work appears in journals such as Oncology Reports, International Journal of Oncology, Molecular and Cellular Biochemistry, Biochemical and Biophysical Research Communications and Scientific Reports.

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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