David Barton

169 papers receiving 5.9k citations

David Barton's Hit Papers

Statistical Method in Biological Assay. 1966 · 774 citations
7740+20+40Years since publication250500750

Peers

David Barton
Comparison fields: 5 of 199
  • Genetics 1.1k
  • Statistics and Probability 331
  • Cellular and Molecular Neuroscience 632
  • Molecular Biology 2.2k
  • Neurology 384
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Citations per year

Countries citing papers authored by David Barton

Since Specialization
Citations

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

Fields of papers citing papers by David Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Barton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Barton Line = papers co-authored together David Barton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Method in Biological Assay.
Hit paper breakdown →
1966774
2 1988345
3
The Elements of Stochastic Processes with Applications to the Natural Sciences.
Hit paper breakdown →
1965332
4 1988301
5 1959195
6 1988142
7 1991134
8 1987130
9 1952117
10 1994108
11 1993104
12
Selective blockade of the endothelin subtype A receptor decreases early atherosclerosis in hamsters fed cholesterol.
1995104
13 2002101
14 199484
15 195683
16 198977
17 200177
18 199876
19 199973
20 200073

About David Barton

David Barton is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Statistics and Probability, having authored 178 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Genomics and Rare Diseases (11 papers), Pediatric Urology and Nephrology Studies (11 papers), Cystic Fibrosis Research Advances (9 papers), Urological Disorders and Treatments (8 papers), Advanced Statistical Methods and Models (8 papers), Mitochondrial Function and Pathology (7 papers) and melanin and skin pigmentation (6 papers). The work is most often cited by research in Genetics (1.1k citations), Statistics and Probability (331 citations), Cellular and Molecular Neuroscience (632 citations), Molecular Biology (2.2k citations) and Neurology (384 citations). David Barton has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include D. J. Finney, Uta Francke, F. N. David, Norman T. J. Bailey, John Riordan, Byoung S. Kwon, David C. Rubinsztein, Rik Derynck, Andrew Green and Maxine Merrington. Their work appears in journals such as Biometrika, Journal of Medical Genetics, European Journal of Human Genetics, Genomics and Annals of Human Genetics.

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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