Kunli Qu

787 citations
7 papers · 273 · 1 hit paper · h-index 5

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Advanced biosensing and bioanalysis techniques 1
    • Muscle Physiology and Disorders 1
    • RNA and protein synthesis mechanisms 1
    • Animal Genetics and Reproduction 2

Kunli Qu

7 papers receiving 267 citations

Hit Papers

Discovery of deaminase functions by structure-based protein clustering 2023 · 132 citations
1320+1+2Years since publication4080120

Peers

Kunli Qu
Comparison fields: 5 of 62
  • Business and International Management 17
  • Aging 15
  • Molecular Biology 235
  • Genetics 46
  • Biological Psychiatry 3
Replace Shengwei Hu with:
Shengwei Hu China
Khadijeh Zare Iran
Young-hoon Kim South Korea
Nhien Thi Nguyen Japan
Jun Zeng China
Tetiana Gren Denmark
Siddhant Chaturvedi India
Linda Lauinger United States
Alexandre Ottaviani France
Kunli Qu relative to Shengwei Hu China Shengwei Hu's profile →
Citations per field
00.5×3.1×
Shengwei Hu · 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

7 of 7 papers shown
#Work
1
Discovery of deaminase functions by structure-based protein clustering
Hit paper breakdown →
2023132
2 202259
3 201836
4 202122
5 202118
6 20234
7 20192

About Kunli Qu

Kunli Qu is a scholar working on Molecular Biology, Genetics, Business and International Management, Biotechnology and Aging, having authored 7 papers that have together received 273 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Muscle Physiology and Disorders (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Innovation and Socioeconomic Development (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Business and International Management (17 citations), Aging (15 citations), Molecular Biology (235 citations), Genetics (46 citations) and Biological Psychiatry (3 citations). Kunli Qu has collaborated with scholars based in China, Denmark and Sweden. Frequent co-authors include Yonglun Luo, Xiaoguang Pan, Ferhat Alkan, Giulia I. Corsi, Jan Gorodkin, Peng Han, Yunjia Li, Zixin He, Hu Xu and Guanwen Liu. Their work appears in journals such as Cellular and Molecular Life Sciences, Cell, Frontiers in Pharmacology, Biomolecules and Cancer Cell International.

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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