John Bradshaw

2.3k citations
49 papers · 1.3k indexed · h-index 17

John Bradshaw

47 papers receiving 1.1k citations

Peers

John Bradshaw
Comparison fields: 5 of 145
  • Computational Theory and Mathematics 612
  • Molecular Biology 519
  • Spectroscopy 193
  • Clinical Psychology 136
  • Materials Chemistry 130
Replace Matthias Rottmann with:
Matthias Rottmann Switzerland
Robert W. Myers United States
W. Patrick Sullivan United States
Dimitriοs Vlachakis Greece
Johannes Wagener Germany
Kathryn Berzins Sweden
Cornelius Frömmel Germany
Thomas Krämer Germany
Claes Andersson Sweden
Paul M. Harrison Canada
John Bradshaw relative to Matthias Rottmann Switzerland Matthias Rottmann's profile →
Citations per field
00.5×7.7×
Matthias Rottmann · 1×
Citations per year

Countries citing papers authored by John Bradshaw

Since Specialization
Citations

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

Fields of papers citing papers by John Bradshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Bradshaw

This figure shows the co-authorship network connecting the top 25 collaborators of John Bradshaw. A scholar is included among the top collaborators of John Bradshaw 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 Bradshaw. John Bradshaw 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
#WorkIndexed citations
1 4
2 5
3 1
4 8
5
Generating molecules via chemical reactions
1
6 26
7
Are Generative Classifiers More Robust to Adversarial Attacks
10
8
Cat sense : the feline enigma revealed
15
9
Reclaiming Virtue: How We Can Develop the Moral Intelligence to Do the Right Thing at the Right Time for the Right Reason (New York: Bantam, 2009)
2
10 10
11 60
12 110
13 7
14 42
15 85
16 2
17 13
18 21
19
Bradshaw on the Family: A Revolutionary Way of Self Discovery
23
20
What is Language Mastery
1

About John Bradshaw

John Bradshaw is a scholar working on Computational Theory and Mathematics, Equine and Physical and Theoretical Chemistry, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Machine Learning in Materials Science (6 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Computational Theory and Mathematics (612 citations), Spectroscopy (193 citations) and Molecular Biology (519 citations). John Bradshaw has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter Willett, Valerie J. Gillet, Darren V. S. Green, Lesley J. Rogers, Andrew R. Leach, G. R. Pearson, T.J. Gruffydd‐Jones, John Gittins, Richard C. Holz and Brian Bennett. Their work appears in journals such as Angewandte Chemie International Edition, Inorganic Chemistry and International Journal of Biological Macromolecules.

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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