Gary T. Wang

1.6k citations
33 papers · 1.3k indexed · 1 hit paper · h-index 17

Gary T. Wang

33 papers receiving 1.2k citations

Hit Papers

Novel Fluorogenic Substrates for Assaying Retroviral Prot...5041990202620022014100200300400500

Peers

Gary T. Wang
Comparison fields: 5 of 84
  • Virology 158
  • Organic Chemistry 403
  • Molecular Biology 775
  • Infectious Diseases 208
  • Oncology 203
Replace Ellen W. Moomaw with:
Ellen W. Moomaw United States
William E. Harte United States
John P. Priestle Switzerland
Andrew F. Wilderspin United Kingdom
Richard H. Ingraham United States
Raghavan Balachandran United States
Denise M. Lowe United Kingdom
Martin R. Deibel United States
Xavier Hanoulle France
Francesco Saverio Di Leva Italy
Gary T. Wang relative to Ellen W. Moomaw United States Ellen W. Moomaw's profile →
Citations per field
00.5×2.9×
Ellen W. Moomaw · 1×
Citations per year

Countries citing papers authored by Gary T. Wang

Since Specialization
Citations

This map shows the geographic impact of Gary T. Wang'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 Gary T. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary T. Wang more than expected).

Fields of papers citing papers by Gary T. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary T. Wang. 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 Gary T. Wang. The network helps show where Gary T. Wang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gary T. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary T. Wang Line = papers co-authored together Gary T. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201050
2 201022
3 200822
4 200714
5 200629
6 200535
7 200416
8 200416
9 20049
10 200411
11 200112
12 199917
13 199854
14 199562
15 19945
16 19944
17 19944
18 199420
19 199215
20 199023

About Gary T. Wang

Gary T. Wang is a scholar working on Virology, Oncology, Process Chemistry and Technology, Organic Chemistry and Molecular Biology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Click Chemistry and Applications (6 papers), Alzheimer's disease research and treatments (6 papers), Peptidase Inhibition and Analysis (4 papers), HER2/EGFR in Cancer Research (4 papers), HIV/AIDS drug development and treatment (4 papers), Influenza Virus Research Studies (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Virology (158 citations), Organic Chemistry (403 citations), Molecular Biology (775 citations), Infectious Diseases (208 citations) and Oncology (203 citations). Gary T. Wang has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Grant A. Krafft, John E. Erickson, Robert S. Fuller, Thomas J. Sowin, Dale J. Kempf, Hing L. Sham, Nathan C. Rockwell, Sheldon Wang, Hiroto Komano and Edmund D. Matayoshi. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Tetrahedron Letters and Experimental Neurology.

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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