Jun Qiao

1.6k citations
101 papers · 1.2k · h-index 19

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 8
    • Virus-based gene therapy research 11
    • Bacterial Genetics and Biotechnology 9

Jun Qiao

95 papers receiving 1.2k citations

Peers

Jun Qiao
Comparison fields: 5 of 93
  • Endocrinology 69
  • Small Animals 91
  • Genetics 317
  • Agronomy and Crop Science 106
  • Aging 18
Replace Zheng‐Fei Liu with:
Zheng‐Fei Liu China
Michael J. Calcutt United States
Rui Wu China
Shinichiro Enomoto United States
Soroush Sharbati Germany
Steven A. Sullivan United States
Mohd Azmi Mohd Lila Malaysia
Michihiro Takagi Japan
Reingard Grabherr Austria
Brian F. Cheetham Australia
Jun Qiao relative to Zheng‐Fei Liu China Zheng‐Fei Liu's profile →
Citations per field
00.5×
Zheng‐Fei Liu · 1×
Citations per year

Countries citing papers authored by Jun Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014208
2 201346
3 201242
4 201237
5 202335
6 201534
7 201433
8 201532
9 201025
10 201424
11 201324
12 201723
13 201321
14 201321
15 202321
16 201420
17 201520
18 202518
19 201718
20 201217

About Jun Qiao

Jun Qiao is a scholar working on Molecular Biology, Genetics, Ecology, Food Science and Epidemiology, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (12 papers), Virus-based gene therapy research (11 papers), Animal Disease Management and Epidemiology (10 papers), Bacterial Genetics and Biotechnology (9 papers), Animal Virus Infections Studies (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Viral gastroenteritis research and epidemiology (7 papers) and Advancements in Battery Materials (7 papers). The work is most often cited by research in Endocrinology (69 citations), Small Animals (91 citations), Genetics (317 citations), Agronomy and Crop Science (106 citations) and Aging (18 citations). Jun Qiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuangfu Chen, Wei Ni, Irina A. Polejaeva, Shengwei Hu, Min Yang, Misha Regouski, Shengwei Hu, Xiaoyuan Wang, Qingling Meng and Fei Guo. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Research in Veterinary Science, Archives of Microbiology, PLoS ONE and Microbial Pathogenesis.

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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