Qing Zhen

1.2k citations
62 papers · 743 · h-index 15

Impact in

    • Brucella: diagnosis, epidemiology, treatment
  • Soil Science top 10%
    • Soil erosion and sediment transport
    • Soil Carbon and Nitrogen Dynamics

Papers in

Qing Zhen

57 papers receiving 721 citations

Peers

Qing Zhen
Comparison fields: 5 of 117
  • Small Animals 219
  • Soil Science 60
  • Epidemiology 148
  • Endocrinology 21
  • Endocrinology, Diabetes and Metabolism 63
Replace Dhirendra Kumar Singh with:
Dhirendra Kumar Singh India
Martin Feller Switzerland
Luigi Esposito Italy
Qingli Zhang China
T. Schwarz Poland
Judy McLean Canada
Jason Koval United States
Riazuddin Mohammed United Kingdom
P. T. Doyle Australia
R.P. Gentry United States
Qing Zhen relative to Dhirendra Kumar Singh India Dhirendra Kumar Singh's profile →
Citations per field
00.5×3.6×
Dhirendra Kumar Singh · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201461
3 201445
4 202042
5 201542
6 201140
7 202034
8 201330
9 201130
10 202129
11 201329
12 202224
13 201819
14 201617
15 202315
16
Association of ATP-binding cassette transporter A1 gene polymorphisms with plasma lipid variability and coronary heart disease risk.
201514
17 202314
18 202313
19 201612
20 201211

About Qing Zhen

Qing Zhen is a scholar working on Small Animals, Epidemiology, Food Science, Immunology and Ecology, having authored 62 papers that have together received 743 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (23 papers), Burkholderia infections and melioidosis (12 papers), Salmonella and Campylobacter epidemiology (6 papers), Galectins and Cancer Biology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Soil erosion and sediment transport (3 papers), Bacteriophages and microbial interactions (3 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Small Animals (219 citations), Soil Science (60 citations), Epidemiology (148 citations), Endocrinology (21 citations) and Endocrinology, Diabetes and Metabolism (63 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, Wenmei Ma, Yaqin Yu, Honghua He, Joseph Sam Kanu, Bo Li and Chang Wang. Their work appears in journals such as Journal of Bacteriology, PLoS neglected tropical diseases, CATENA, Lipids in Health and Disease and Journal of Affective Disorders.

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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