Min Zhao

8.1k total citations
202 papers, 4.6k citations indexed

About

Min Zhao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Min Zhao has authored 202 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 39 papers in Cancer Research and 20 papers in Oncology. Recurrent topics in Min Zhao's work include Bioinformatics and Genomic Networks (24 papers), RNA modifications and cancer (22 papers) and Cancer-related molecular mechanisms research (16 papers). Min Zhao is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), RNA modifications and cancer (22 papers) and Cancer-related molecular mechanisms research (16 papers). Min Zhao collaborates with scholars based in China, Australia and United States. Min Zhao's co-authors include Zhongming Zhao, Hong Qu, Jingchun Sun, Yining Liu, Scott F. Cummins, Peilin Jia, Qingguo Wang, Quan Wang, Tianfang Wang and Matthew D. Breyer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Min Zhao

191 papers receiving 4.5k citations

Peers

Min Zhao
Comparison fields: 5 of 162
  • Molecular Biology 2.2k
  • Cancer Research 847
  • Genetics 735
  • Pulmonary and Respiratory Medicine 472
  • Immunology 372
Replace Ge Tan with:
Ge Tan Switzerland
Chiara Romualdi Italy
Martin Poot Netherlands
Stephen C. Land United Kingdom
Matthew R. Jones United States
Joseph A. Garcia United States
Andrew Stephens United States
Jun‐Ichi Hayashi Japan
Laura A. Cox United States
M.D. Brown United Kingdom
Ge Tan Switzerland View profile →
Citations per field, relative to Min Zhao
Min Zhao · 1×
Citations per year, relative to Min Zhao
Min Zhao · 1×

Countries citing papers authored by Min Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Zhao. A scholar is included among the top collaborators of Min Zhao 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 Min Zhao. Min Zhao 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
# Work Indexed citations
1 2
2 1
3 1
4 40
5 19
6 1
7 0
8 2
9 6
10 8
11 12
12 9
13 4
14 16
15 55
16 16
17 44
18 34
19 6
20
Association of variations of NAb 2F5 and 4E10 epitopes and disease progression in Chinese antiretroviral treatment-naïve patients infected with HIV-1 clade B'.
1

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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