John G. Sutton

402 citations
33 papers · 354 · h-index 10

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Genetic Associations and Epidemiology
    • Sperm and Testicular Function

Papers in

    • Forensic and Genetic Research 24
    • Genetic diversity and population structure 5
    • Genetic Associations and Epidemiology 3
    • Sperm and Testicular Function 10

John G. Sutton

33 papers receiving 294 citations

Peers

John G. Sutton
Comparison fields: 5 of 37
  • Genetics 278
  • Reproductive Medicine 37
  • Toxicology 13
  • Hematology 33
  • Spectroscopy 38
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Citations per field
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Citations per year

Countries citing papers authored by John G. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by John G. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside John G. Sutton, 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 John G. Sutton Line = papers co-authored together John G. Sutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197897
2 198419
3 198519
4
A further study to investigate the effect of fingerprint enhancement techniques on the DNA analysis of bloodstains
199917
5 197914
6 197914
7 198212
8 198411
9 197910
10 198210
11 198310
12 198410
13 19758
14 19828
15 19848
16 19878
17 20048
18 19877
19 19897
20 19836

About John G. Sutton

John G. Sutton is a scholar working on Genetics, Reproductive Medicine, Spectroscopy, Toxicology and Biomedical Engineering, having authored 33 papers that have together received 354 indexed citations. Recurring topics across this work include Forensic and Genetic Research (24 papers), Sperm and Testicular Function (10 papers), Advanced Proteomics Techniques and Applications (8 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), Genetic diversity and population structure (5 papers), Identification and Quantification in Food (4 papers), Forensic Toxicology and Drug Analysis (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (278 citations), Reproductive Medicine (37 citations), Toxicology (13 citations), Hematology (33 citations) and Spectroscopy (38 citations). John G. Sutton has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter Gill, P.H. Whitehead, David J. Werrett, Robert M. Burgess, RODNEY W. KELLY, Chris J. Lennard, Claude Patrick Roux and Bruce S. Weir. Their work appears in journals such as Forensic Science International, Electrophoresis, Journal of Forensic Sciences, Human Genetics and Science & Justice.

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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