Qing Zhen

1.2k citations
64 papers · 755 · h-index 15

Impact in

Papers in

Qing Zhen

61 papers receiving 730 citations

Peers

Qing Zhen
Comparison fields: 5 of 124
  • Small Animals 212
  • Epidemiology 234
  • Endocrinology, Diabetes and Metabolism 109
  • Soil Science 58
  • Food Science 103
Replace Muhammad Islam with:
Muhammad Islam Pakistan
Muhammad Irfan Pakistan
Martin Feller Switzerland
Dhirendra Kumar Singh India
Golde I. Holtzman United States
Richard Greenwood United Kingdom
Jens Henrik Badsberg Denmark
Arthur Helbling Switzerland
Qingli Zhang China
Qing Zhen relative to Muhammad Islam Pakistan Muhammad Islam's profile →
Citations per field
00.5×5.6×
Muhammad Islam · 1×
Citations per year

Countries citing papers authored by Qing Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Qing Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201461
3 201444
4 201543
5 201140
6 202040
7 202034
8 201130
9 201329
10 201329
11 202128
12 202223
13 201819
14 201617
15
Association of ATP-binding cassette transporter A1 gene polymorphisms with plasma lipid variability and coronary heart disease risk.
201514
16 202313
17 201612
18 202312
19 201912
20 202311

About Qing Zhen

Qing Zhen is a scholar working on Epidemiology, Small Animals, Food Science, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 755 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (22 papers), Burkholderia infections and melioidosis (15 papers), Salmonella and Campylobacter epidemiology (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Galectins and Cancer Biology (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Bacteriophages and microbial interactions (4 papers) and Soil erosion and sediment transport (3 papers). The work is most often cited by research in Small Animals (212 citations), Epidemiology (234 citations), Endocrinology, Diabetes and Metabolism (109 citations), Soil Science (58 citations) and Food Science (103 citations). Qing Zhen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yawen Liu, Yuchun Tao, Xingchang Zhang, Yi Cheng, Joseph Sam Kanu, Yaqin Yu, Honghua He, Wenmei Ma, Chang Wang and Bo Li. Their work appears in journals such as CATENA, Journal of Bacteriology, PLoS neglected tropical diseases, Lipids in Health and Disease and BMC Infectious Diseases.

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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