T Spector

43 papers receiving 1.8k citations

Peers

T Spector
Comparison fields: 5 of 93
  • Virology 273
  • Infectious Diseases 417
  • Oncology 597
  • Epidemiology 648
  • Physiology 68
Replace Hiroyuki Hayakawa with:
Hiroyuki Hayakawa Japan
Lilia M. Beauchamp United States
Thomas P. Zimmerman United States
Joel V. Tuttle United States
D G Johns United States
Howard B. Cottam United States
Michele Connelly United States
Tammy Krogmann United States
Joseph A. Hollenbaugh United States
Sergeï Nekhai United States
T Spector relative to Hiroyuki Hayakawa Japan Hiroyuki Hayakawa's profile →
Citations per field
00.5×1.5×1.9×
Hiroyuki Hayakawa · 1×
Citations per year

Countries citing papers authored by T Spector

Since Specialization
Citations

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

Fields of papers citing papers by T Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T Spector, 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 T Spector Line = papers co-authored together T Spector links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987250
2 1984161
3 1989161
4 1996117
5 1992111
6 1983109
7 1993108
8 197076
9 197962
10
Attenuation of the antitumor activity of 5-fluorouracil by (R)-5-fluoro-5,6-dihydrouracil.
199558
11
Dihydropyrimidine dehydrogenase: a tumoral target for fluorouracil modulation.
199557
12 198952
13 198551
14 197949
15 199440
16 199339
17 199137
18
In vivo effect of 5-ethynyluracil on 5-fluorouracil metabolism determined by 19F nuclear magnetic resonance spectroscopy.
199929
19 196925
20 197524

About T Spector

T Spector is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Infectious Diseases, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (15 papers), Herpesvirus Infections and Treatments (10 papers), Colorectal Cancer Treatments and Studies (10 papers), HIV/AIDS drug development and treatment (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Adenosine and Purinergic Signaling (4 papers), Cancer Treatment and Pharmacology (4 papers) and Research on Leishmaniasis Studies (4 papers). The work is most often cited by research in Virology (273 citations), Infectious Diseases (417 citations), Oncology (597 citations), Epidemiology (648 citations) and Physiology (68 citations). T Spector has collaborated with scholars based in United States, France and Russia. Frequent co-authors include P A Furman, M H St Clair, John E. Reardon, David G. Johns, David Porter, D R Averett, Gertrude B. Elion, Thomas Jones, Wayne H. Miller and Kent J. Weinhold. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

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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