G. E. Thomas

3.5k total citations · 2 hit papers
29 papers, 2.7k citations indexed

About

G. E. Thomas is a scholar working on Plant Science, Molecular Biology and Statistics and Probability. According to data from OpenAlex, G. E. Thomas has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Statistics and Probability. Recurrent topics in G. E. Thomas's work include Cancer-related Molecular Pathways (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Cancer Research and Treatments (2 papers). G. E. Thomas is often cited by papers focused on Cancer-related Molecular Pathways (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Cancer Research and Treatments (2 papers). G. E. Thomas collaborates with scholars based in United Kingdom, France and Australia. G. E. Thomas's co-authors include Franklin A. Graybill, S. Stanley Young, Peter H. Westfall, Hamilton, Bert Vogelstein, Eric R. Fearon, Antonette C. Preisinger, Kathleen R. Cho, Kenneth W. Kinzler and Scott E. Kern and has published in prestigious journals such as Science, Biochemical Journal and Journal of Experimental Botany.

In The Last Decade

G. E. Thomas

29 papers receiving 2.6k citations

Hit Papers

Identification of a Chromosome 18q Gene that Is Altered i... 1984 2026 1998 2012 1990 1984 400 800 1.2k

Peers

G. E. Thomas
Comparison fields: 5 of 177
  • Molecular Biology 844
  • Oncology 742
  • Pathology and Forensic Medicine 636
  • Cancer Research 452
  • Statistics and Probability 338
Replace Philip J. Brown with:
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Philip J. Brown United Kingdom View profile →
Citations per field, relative to G. E. Thomas
G. E. Thomas · 1×
Citations per year, relative to G. E. Thomas
G. E. Thomas · 1×

Countries citing papers authored by G. E. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by G. E. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. E. Thomas. 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 G. E. Thomas. The network helps show where G. E. Thomas may publish in the future.

Co-authorship network of co-authors of G. E. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of G. E. Thomas. A scholar is included among the top collaborators of G. E. Thomas 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 G. E. Thomas. G. E. Thomas 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 14
2 3
3 41
4 15
5
Cross-sectional observations on the natural history of asthma.
8
6 5
7 5
8 4
9 2
10
Frequently elevated content of immunochemically defined wild-type p53 protein in colorectal adenomas.
37
11
[A joint study of mutation of the Ki-ras oncogene and overexpression of the Tp53 oncogene in colorectal cancer].
3
12
Identification of a Chromosome 18q Gene that Is Altered in Colorectal Cancers breakdown →
1410
13 1
14 9
15 4
16 16
17 19
18 6
19 6
20 6

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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2026