Kunbin Qu

833 citations
8 papers · 310 · h-index 6

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • RNA modifications and cancer
    • Molecular Biology Techniques and Applications
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms

Papers in

    • Molecular Biology Techniques and Applications 5
    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 4

Kunbin Qu

8 papers receiving 306 citations

Peers

Kunbin Qu
Comparison fields: 5 of 69
  • Cancer Research 89
  • Molecular Biology 205
  • Horticulture 2
  • Endocrinology 9
  • Oncology 36
Replace Yaxun Wei with:
Yaxun Wei China
Chih‐Hong Lou United States
Poorwa Awasthi India
Sean D. Taylor United States
Fan Hsu United States
Takeshi Tsusaka Japan
Cencen Li China
Paul Ryvkin United States
Adalberto Costessi Netherlands
Kunbin Qu relative to Yaxun Wei China Yaxun Wei's profile →
Citations per field
00.5×10×16×
Yaxun Wei · 1×
Citations per year

Countries citing papers authored by Kunbin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Kunbin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2012143
2 201259
3 201747
4 199829
5 201414
6
Bayesian protein family classifier.
199810
7 20105
8 20163

About Kunbin Qu

Kunbin Qu is a scholar working on Molecular Biology, Cancer Research, Plant Science, Surgery and Oncology, having authored 8 papers that have together received 310 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Ear and Head Tumors (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (205 citations), Horticulture (2 citations), Endocrinology (9 citations) and Oncology (36 citations). Kunbin Qu has collaborated with scholars based in United States. Frequent co-authors include John Morlan, Dominick Sinicropi, Charles E. Lawrence, David L. Martin, Robert J. Pelham, Joffre Baker, Jennie Jeong, James C. Stephans, Andrew Dei Rossi and Mei‐Lan Liu. Their work appears in journals such as PLoS ONE, Protein Science, Current Protocols in Molecular Biology, PubMed and Genome Biology.

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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