David Galton

503 citations
19 papers · 444 indexed · h-index 11

Impact in

Papers in

David Galton

18 papers receiving 425 citations

Peers

David Galton
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 259
  • Surgery 230
  • Cardiology and Cardiovascular Medicine 117
  • Genetics 110
  • Cancer Research 59
Replace Jeroen A. Sierts with:
Jeroen A. Sierts Netherlands
T. Bruin Netherlands
Norbert Looije Netherlands
Heidi E. Lilja Finland
Alinda W.M. Schimmel Netherlands
Stephanie DerOhannessian United States
F. Mailly United Kingdom
Z S Ji United States
Yuxuan Ma Canada
Husam Ghanim United States
David Galton relative to Jeroen A. Sierts Netherlands Jeroen A. Sierts's profile →
Citations per field
00.5×1.5×
Jeroen A. Sierts · 1×
Citations per year

Countries citing papers authored by David Galton

Since Specialization
Citations

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

Fields of papers citing papers by David Galton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside David Galton, 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 Galton Line = papers co-authored together David Galton links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20091
2 20099
3 20006
4 20001
5 199311
6 19892
7 198812
8 198821
9 1987148
10 19871
11 198737
12
Haplotypes identified by DNA restriction-fragment-length polymorphisms in the A-1 C-III A-IV gene region and hypertriglyceridemia.
198734
13 198619
14 198653
15 198521
16 197942
17 19744
18 197415
19 19667

About David Galton

David Galton is a scholar working on Theoretical Computer Science, Endocrinology, Diabetes and Metabolism, Genetics, Cardiology and Cardiovascular Medicine and History and Philosophy of Science, having authored 19 papers that have together received 444 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Diabetes Treatment and Management (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Adipose Tissue and Metabolism (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Surgery (230 citations), Cardiology and Cardiovascular Medicine (117 citations), Genetics (110 citations) and Cancer Research (59 citations). David Galton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include J. Stocks, Paul Harmatz, Anna M. Kessling, A. Rees, G. Holdsworth, V. Wynn, Heather Kirk, Gunnar Bjursell, Steve E. Humphries and Peter Carlsson. Their work appears in journals such as Human Genetics, Nucleic Acids Research, QJM, Hormone and Metabolic Research and Brain.

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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