Fei Tong

859 citations
16 papers · 359 indexed · 1 hit paper · h-index 7
Topics
Pharmacological Receptor Mechanisms and Effects (4 papers)Cannabis and Cannabinoid Research (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
Journals
NatureSHILAP Revista de lepidopterologíaJournal of Medicinal Chemistry
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Fei Tong

16 papers receiving 354 citations

Hit Papers

Synthon-based ligand discovery in virtual libraries of ov...2021202620222024202150100150200250

Peers

Fei Tong
Comparison fields: 5 of 87
  • Molecular Biology 204
  • Computational Theory and Mathematics 140
  • Materials Chemistry 53
  • Pharmacology 46
  • Organic Chemistry 37
Replace Marijn P. A. Sanders with:
Marijn P. A. Sanders Netherlands
Chayan Acharya United States
Ted M. Lakowski Canada
Zhongjie Chen China
Madhu Sudhana Saddala United States
Sanket J. Mishra United States
John G. Houston United States
Hemantkumar Deokar United States
Sezen Vatansever United States
Kelly E. Desino United States
Fei Tong relative to Marijn P. A. Sanders Netherlands Marijn P. A. Sanders's profile →
Citations per field
00.5×11.8×
Marijn P. A. Sanders · 1×
Citations per year

Countries citing papers authored by Fei Tong

Since Specialization
Citations

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

Fields of papers citing papers by Fei Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Tong

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 4
3 4
4 1
5 1
6 9
7 2
8 11
9 6
10 6
11 15
12 5
13
Synthon-based ligand discovery in virtual libraries of over 11 billion compoundsbreakdown →
254
14 14
15 5
16 21

About Fei Tong

Fei Tong is a scholar working on Microbiology, Anesthesiology and Pain Medicine and Animal Science and Zoology, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (4 papers), Cannabis and Cannabinoid Research (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (140 citations), Molecular Biology (204 citations) and Pharmacology (46 citations). Fei Tong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nikolai Zvonok, Alexandros Makriyannis, Spyros P. Nikas, Christos Iliopoulos‐Tsoutsouvas, Ngan K. Tran, Bryan L. Roth, Arman A. Sadybekov, Dmytro S. Radchenko, Xi‐Ping Huang and Nilkanth Patel. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

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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