Xing-Ming Zhao

975 citations
27 papers · 705 indexed · h-index 12
Topics
Bioinformatics and Genomic Networks (8 papers)Computational Drug Discovery Methods (7 papers)Machine Learning in Bioinformatics (4 papers)
Partner nations
ChinaUnited KingdomJapan

In The Last Decade

Xing-Ming Zhao

27 papers receiving 699 citations

Peers

Xing-Ming Zhao
Comparison fields: 5 of 94
  • Molecular Biology 576
  • Computational Theory and Mathematics 116
  • Cancer Research 113
  • Genetics 40
  • Plant Science 32
Replace Marina Bessarabova with:
Marina Bessarabova United States
Phani Garapati United Kingdom
Dong Yue Canada
Ioannis Iliopoulos Greece
Dorothea Emig Germany
Zhi‐Ping Liu China
Anwesha Bohler Netherlands
Emmett Sprecher United States
Onur Sumer Canada
Igor Rodchenkov Canada
Xing-Ming Zhao relative to Marina Bessarabova United States Marina Bessarabova's profile →
Citations per field
00.5×1.5×1.9×
Marina Bessarabova · 1×
Citations per year

Countries citing papers authored by Xing-Ming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xing-Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing-Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xing-Ming Zhao. A scholar is included among the top collaborators of Xing-Ming 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 Xing-Ming Zhao. Xing-Ming 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
#WorkIndexed citations
1 3
2 18
3 139
4 7
5 62
6 5
7 2
8 3
9 72
10 2
11 5
12 26
13 1
14 39
15 10
16 7
17 12
18 17
19 1
20 10

About Xing-Ming Zhao

Xing-Ming Zhao is a scholar working on Computational Theory and Mathematics, Molecular Biology and Health Information Management, having authored 27 papers that have together received 705 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Molecular Biology (576 citations), Cancer Research (113 citations) and Computational Theory and Mathematics (116 citations). Xing-Ming Zhao has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Luonan Chen, Minghui Wang, Ao Li, Xiaoping Liu, Yu Liu, Béatrice Duval, Jin‐Kao Hao, Rui Liu, Keqin Liu and Xiujun Zhang. Their work appears in journals such as Bioinformatics, PLoS ONE and Cell Death and Differentiation.

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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