T J Fraser

794 citations
9 papers · 686 indexed · h-index 8
Topics
Cancer therapeutics and mechanisms (5 papers)DNA Repair Mechanisms (2 papers)Immunotherapy and Immune Responses (2 papers)
Partner nations
United States

In The Last Decade

T J Fraser

9 papers receiving 602 citations

Peers

T J Fraser
Comparison fields: 5 of 92
  • Molecular Biology 424
  • Oncology 207
  • Cancer Research 63
  • Hematology 62
  • Organic Chemistry 58
Replace J. E. Sodergren with:
J. E. Sodergren United States
Jaulang Hwang Taiwan
Sikic Bi United States
Nguyen T. Van United States
Henrik Lövborg Sweden
Janet S. Macpherson United Kingdom
Rudolf Mihalik Hungary
Ayako Hino Japan
John A. Kellen Canada
Philippe Genne France
T J Fraser relative to J. E. Sodergren United States J. E. Sodergren's profile →
Citations per field
00.5×3.9×
J. E. Sodergren · 1×
Citations per year

Countries citing papers authored by T J Fraser

Since Specialization
Citations

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

Fields of papers citing papers by T J Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T J Fraser

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 46
2
Cell proliferation kinetics and drug sensitivity of exponential and stationary populations of cultured L1210 cells.
42
3 120
4 1
5
Cell-kill kinetics of several S-phase-specific drugs.
84
6
Cell cycle phase specificity of antitumor agents.
124
7
Cell cycle phase specificity and biochemical effects of ellipticine on mammalian cells.
35
8
Action of camptothecin on mammalian cells in culture.
172
9
Phase specificity of 5-azacytidine against mammalian cells in tissue culture.
62

About T J Fraser

T J Fraser is a scholar working on Immunology, Obstetrics and Gynecology and Molecular Biology, having authored 9 papers that have together received 686 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (5 papers), DNA Repair Mechanisms (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Toxicology (49 citations), Oncology (207 citations) and Molecular Biology (424 citations). T J Fraser has collaborated with scholars based in United States. Frequent co-authors include B. K. Bhuyan, G L Neil, Sandra L. Kuentzel, Bijoy K. Bhuyan and John D. Orr. Their work appears in journals such as Experimental Cell Research, Acta Obstetricia Et Gynecologica Scandinavica and PubMed.

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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