Qing Zhong

3.1k citations
77 papers · 970 indexed · 1 hit paper · h-index 19
Topics
Cancer Genomics and Diagnostics (8 papers)Advanced Proteomics Techniques and Applications (8 papers)Molecular Biology Techniques and Applications (7 papers)

In The Last Decade

Qing Zhong

69 papers receiving 963 citations

Hit Papers

Machine learning for multi-omics data integration in cancer2022202620232024202250100150

Peers

Qing Zhong
Comparison fields: 5 of 132
  • Molecular Biology 503
  • Cancer Research 222
  • Pulmonary and Respiratory Medicine 149
  • Oncology 103
  • Surgery 79
Replace Mohamed El‐Shinawi with:
Mohamed El‐Shinawi Egypt
Uma Krishnamurti United States
Baijun Dong China
Xiaoguang Shao China
Aarti Asnani United States
Marialuisa Sponziello Italy
Xiaoqi Liu China
Javier G. Blanco United States
Brian Piening United States
Olivier Grenet Switzerland
Qing Zhong relative to Mohamed El‐Shinawi Egypt Mohamed El‐Shinawi's profile →
Citations per field
00.5×3.5×
Mohamed El‐Shinawi · 1×
Citations per year

Countries citing papers authored by Qing Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Qing Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Zhong. A scholar is included among the top collaborators of Qing Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Zhong. Qing Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 15
4 1
5 5
6 9
7 11
8 0
9 0
10
Machine learning for multi-omics data integration in cancerbreakdown →
168
11 7
12 5
13 2
14 3
15 4
16 34
17 18
18 1
19 13
20 4

About Qing Zhong

Qing Zhong is a scholar working on Cancer Research, Spectroscopy and Molecular Biology, having authored 77 papers that have together received 970 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Advanced Proteomics Techniques and Applications (8 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Cancer Research (222 citations), Biophysics (60 citations) and Health Informatics (10 citations). Qing Zhong has collaborated with scholars based in China, Switzerland and Australia. Frequent co-authors include Zhaoxiang Cai, Rebecca C. Poulos, Jia Liu, Peter J. Wild, Holger Moch, Roger R. Reddel, Phillip J. Robinson, Joachim M. Buhmann, Alberto Giovanni Busetto and Daniel W. Gerlich. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

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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