Kunli Qu

1.0k citations
11 papers · 483 · 1 hit paper · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • RNA and protein synthesis mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Advanced biosensing and bioanalysis techniques 1
    • Animal Genetics and Reproduction 2

Kunli Qu

11 papers receiving 475 citations

Kunli Qu's Hit Papers

Discovery of deaminase functions by structure-based protein clustering 2023 · 158 citations
1580+1+2Years since publication50100150

Peers

Kunli Qu
Comparison fields: 5 of 72
  • Aging 16
  • Business and International Management 17
  • Aquatic Science 49
  • Microbiology 33
  • Endocrinology 26
Replace Navjot Singh with:
Navjot Singh United States
Yefen Xu China
Ricardo A. Ribeiro Portugal
Fengwei Jiang China
Yonghua Zhou China
Alla Gagarinova Canada
Elena Espinosa Spain
Fengjuan Zhou China
Eakapol Wangkahart Thailand
Yoon Jung Hwang South Korea
Kunli Qu relative to Navjot Singh United States Navjot Singh's profile →
Citations per field
00.5×5×10×15×20×24.5×
Navjot Singh · 1×
Citations per year

Countries citing papers authored by Kunli Qu

Since Specialization
Citations

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

Fields of papers citing papers by Kunli Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Discovery of deaminase functions by structure-based protein clustering
Hit paper breakdown →
2023158
2 201968
3 202268
4 201760
5 201740
6 201839
7 202123
8 202118
9 20235
10 20193
11 20251

About Kunli Qu

Kunli Qu is a scholar working on Molecular Biology, Genetics, Ecology, Immunology and Infectious Diseases, having authored 11 papers that have together received 483 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (2 papers), Bacteriophages and microbial interactions (2 papers), RNA and protein synthesis mechanisms (1 paper), Echinoderm biology and ecology (1 paper), Ubiquitin and proteasome pathways (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Aquatic life and conservation (1 paper). The work is most often cited by research in Aging (16 citations), Business and International Management (17 citations), Aquatic Science (49 citations), Microbiology (33 citations) and Endocrinology (26 citations). Kunli Qu has collaborated with scholars based in China, Denmark and Switzerland. Frequent co-authors include Yonglun Luo, Lili Wang, Xiaoyu Li, Xitao Wang, Yongping Xu, Xiaoguang Pan, Jan Gorodkin, Peng Han, Ferhat Alkan and Giulia I. Corsi. Their work appears in journals such as Nature Communications, Foodborne Pathogens and Disease, Fish & Shellfish Immunology, Microbial Pathogenesis and Frontiers in Pharmacology.

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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