John Thacker

4.9k total citations
68 papers, 4.1k citations indexed

About

John Thacker is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, John Thacker has authored 68 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 25 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in John Thacker's work include DNA Repair Mechanisms (46 papers), Carcinogens and Genotoxicity Assessment (24 papers) and CRISPR and Genetic Engineering (15 papers). John Thacker is often cited by papers focused on DNA Repair Mechanisms (46 papers), Carcinogens and Genotoxicity Assessment (24 papers) and CRISPR and Genetic Engineering (15 papers). John Thacker collaborates with scholars based in United Kingdom, United States and Netherlands. John Thacker's co-authors include Albert Stretch, Roger Cox, D.T. Goodhead, Miriam A. Stephens, Anil Ganesh, Małgorzata Z. Zdzienicka, Phillip North, R.E. Wilkinson, Nigel J. Jones and C.S. Griffin and has published in prestigious journals such as Nature, The Lancet and Nucleic Acids Research.

In The Last Decade

John Thacker

68 papers receiving 3.9k citations

Peers

John Thacker
Comparison fields: 5 of 116
  • Molecular Biology 3.1k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 839
  • Radiology, Nuclear Medicine and Imaging 730
  • Oncology 687
Replace Joel S. Bedford with:
Joel S. Bedford United States
L. J. Tolmach United States
Ryuichi Okayasu Japan
Herbert Braselmann Germany
Laure Sabatier France
G. Taucher-Scholz Germany
Masao S. Sasaki Japan
Ronald M. Humphrey United States
M.S. Sasaki Japan
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Joel S. Bedford United States View profile →
Citations per field, relative to John Thacker
John Thacker · 1×
Citations per year, relative to John Thacker
John Thacker · 1×

Countries citing papers authored by John Thacker

Since Specialization
Citations

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

Fields of papers citing papers by John Thacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Thacker

This figure shows the co-authorship network connecting the top 25 collaborators of John Thacker. A scholar is included among the top collaborators of John Thacker 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 John Thacker. John Thacker 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 26
2 30
3 27
4 87
5 5
6 51
7 6
8 38
9 58
10 121
11 36
12 67
13 33
14 19
15 215
16 119
17 55
18 79
19 53
20 10

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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