Tongan Zhao

1.7k citations
12 papers · 730 indexed · h-index 9
Topics
Computational Drug Discovery Methods (10 papers)Metabolomics and Mass Spectrometry Studies (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
Partner nations
United StatesJapan

In The Last Decade

Tongan Zhao

12 papers receiving 718 citations

Peers

Tongan Zhao
Comparison fields: 5 of 102
  • Computational Theory and Mathematics 375
  • Molecular Biology 337
  • Materials Chemistry 95
  • Infectious Diseases 80
  • Immunology 72
Replace Vishal B. Siramshetty with:
Vishal B. Siramshetty United States
Sampada A. Shahane United States
Derek J. Leishman United States
Franck A. Atienzar Belgium
Heather L. Ciallella United States
Jeffrey A. Kramer United States
Stéphane Dhalluin France
K. V. Karapetyan United States
M. R. Slaughter United Kingdom
Fangjin Chen China
Tongan Zhao relative to Vishal B. Siramshetty United States Vishal B. Siramshetty's profile →
Citations per field
00.5×1.5×1.9×
Vishal B. Siramshetty · 1×
Citations per year

Countries citing papers authored by Tongan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Tongan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Tongan Zhao. A scholar is included among the top collaborators of Tongan 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 Tongan Zhao. Tongan Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 4
3 22
4 32
5 61
6 41
7 176
8 47
9 30
10 1
11 176
12 139

About Tongan Zhao

Tongan Zhao is a scholar working on Computational Theory and Mathematics, Pharmacology and Small Animals, having authored 12 papers that have together received 730 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Computational Theory and Mathematics (375 citations), Small Animals (60 citations) and Pharmacology (62 citations). Tongan Zhao has collaborated with scholars based in United States and Japan. Frequent co-authors include Ruili Huang, Anton Simeonov, Srilatha Sakamuru, Menghang Xia, Jinghua Zhao, Christopher P. Austin, Ðắc-Trung Nguyễn, Sampada A. Shahane, Noel Southall and Matias S. Attene‐Ramos. Their work appears in journals such as Nature Communications, Scientific Reports and The FASEB Journal.

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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