Shaofu Qiu

3.1k citations
91 papers · 2.0k · h-index 22

Impact in

Papers in

Shaofu Qiu

86 papers receiving 2.0k citations

Peers

Shaofu Qiu
Comparison fields: 5 of 130
  • Molecular Medicine 585
  • Endocrinology 496
  • Infectious Diseases 426
  • Applied Microbiology and Biotechnology 46
  • Food Science 352
Replace Liang Xue with:
Liang Xue China
Hongning Wang China
Andreas Schroeter Germany
Rongzhang Hao China
Dingqiang Chen China
Ruobing Wang China
Nitaya Indrawattana Thailand
Kelli L. Palmer United States
Chan Yean Yean Malaysia
Karola Prior Germany
Shaofu Qiu relative to Liang Xue China Liang Xue's profile →
Citations per field
00.5×6.1×
Liang Xue · 1×
Citations per year

Countries citing papers authored by Shaofu Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Shaofu Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016285
2 2017218
3 2015171
4 201395
5 201869
6 202065
7 202053
8 201753
9 201548
10 201847
11 201944
12 201837
13 202036
14 201434
15 201334
16 201432
17 202031
18 202229
19 202025
20 201523

About Shaofu Qiu

Shaofu Qiu is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Food Science and Molecular Biology, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (30 papers), Salmonella and Campylobacter epidemiology (26 papers), Escherichia coli research studies (21 papers), Viral gastroenteritis research and epidemiology (20 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Bacteriophages and microbial interactions (10 papers), Virus-based gene therapy research (9 papers) and Viral Infections and Immunology Research (9 papers). The work is most often cited by research in Molecular Medicine (585 citations), Endocrinology (496 citations), Infectious Diseases (426 citations), Applied Microbiology and Biotechnology (46 citations) and Food Science (352 citations). Shaofu Qiu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongbin Song, Rongzhang Hao, Ligui Wang, Leili Jia, Beibei Liang, Chaojie Yang, Xinying Du, Chuanfu Zhang, Hao Li and Lihua Qi. Their work appears in journals such as Frontiers in Microbiology, PLoS ONE, Frontiers in Cellular and Infection Microbiology, BMC Infectious Diseases and Virology Journal.

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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