T.A. Connors

3.9k total citations
96 papers, 3.0k citations indexed

About

T.A. Connors is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, T.A. Connors has authored 96 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Organic Chemistry and 23 papers in Oncology. Recurrent topics in T.A. Connors's work include Pharmacogenetics and Drug Metabolism (8 papers), Synthesis and Biological Evaluation (7 papers) and Metal complexes synthesis and properties (7 papers). T.A. Connors is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Synthesis and Biological Evaluation (7 papers) and Metal complexes synthesis and properties (7 papers). T.A. Connors collaborates with scholars based in United Kingdom, France and United States. T.A. Connors's co-authors include W. C. J. Ross, M. E. Whisson, Michael Jarman, A. B. Foster, Peter B. Farmer, Mark Jones, L. A. Elson, Peter J. Cox, Abdul R. Khokhar and P.D. Braddock and has published in prestigious journals such as Nature, The Lancet and JNCI Journal of the National Cancer Institute.

In The Last Decade

T.A. Connors

95 papers receiving 2.7k citations

Peers

T.A. Connors
Comparison fields: 5 of 127
  • Molecular Biology 1.3k
  • Oncology 911
  • Organic Chemistry 843
  • Cancer Research 380
  • Pathology and Forensic Medicine 259
Replace Miriam L. Hursey with:
Miriam L. Hursey United States
Michael C. Alley United States
Bridget T. Hill United Kingdom
Christian Auclair France
Ghanem Atassi Belgium
Anatol G. Morell United States
W. C. J. Ross United Kingdom
Kenneth R. Harrap United Kingdom
Jacqueline Plowman United States
Thomas A. Krenitsky United States
Miriam L. Hursey United States View profile →
Citations per field, relative to T.A. Connors
T.A. Connors · 1×
Citations per year, relative to T.A. Connors
T.A. Connors · 1×

Countries citing papers authored by T.A. Connors

Since Specialization
Citations

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

Fields of papers citing papers by T.A. Connors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.A. Connors

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2
Investigation of alternative prodrugs for use with E. coli nitroreductase in 'suicide gene' approaches to cancer therapy.
35
3 28
4 22
5 5
6 14
7 1
8 21
9 1
10 54
11 1
12 31
13 1
14 37
15 6
16
The need for additional alkylating agents.
1
17 111
18 3
19 39
20 21

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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