Zhanquan Shi

1.1k citations
40 papers · 938 indexed · h-index 19
Topics
Pharmacogenetics and Drug Metabolism (7 papers)Toxic Organic Pollutants Impact (6 papers)Effects and risks of endocrine disrupting chemicals (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENature Reviews Genetics
Partner nations
United StatesJapanChina

In The Last Decade

Zhanquan Shi

38 papers receiving 926 citations

Peers

Zhanquan Shi
Comparison fields: 5 of 111
  • Molecular Biology 269
  • Pharmacology 208
  • Health, Toxicology and Mutagenesis 195
  • Cancer Research 182
  • Public Health, Environmental and Occupational Health 103
Replace Iwao Nakatsuka with:
Iwao Nakatsuka Japan
Hironori Takagi Japan
Ilaria Paterni Italy
Martin Svoboda Austria
Roland Buesen Germany
Xiangbin Zeng United States
Chen Tu China
Zongcan Zhou China
Qian Lü China
M. Pons� France
Zhanquan Shi relative to Iwao Nakatsuka Japan Iwao Nakatsuka's profile →
Citations per field
00.5×9.4×
Iwao Nakatsuka · 1×
Citations per year

Countries citing papers authored by Zhanquan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhanquan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanquan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanquan Shi. A scholar is included among the top collaborators of Zhanquan Shi 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 Zhanquan Shi. Zhanquan Shi 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 8
2 0
3 4
4 2
5 12
6 40
7 19
8 110
9 23
10 11
11 61
12 50
13 4
14 40
15 20
16 29
17 89
18 1
19 40
20 45

About Zhanquan Shi

Zhanquan Shi is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Cancer Research, having authored 40 papers that have together received 938 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Toxic Organic Pollutants Impact (6 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). The work is most often cited by research in Pharmacology (208 citations), Health, Toxicology and Mutagenesis (195 citations) and Cancer Research (182 citations). Zhanquan Shi has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Daniel W. Nebert, Nadine Dragin, Brian K. Petroff, Marina Gálvez‐Peralta, Shigeyuki Uno, David F. Albertini, Karla J. Hutt, Kazuyoshi Taya, Gen Watanabe and Kelli E. Valdez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Reviews Genetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026