V. Collins

19 papers receiving 854 citations

Peers

V. Collins
Comparison fields: 5 of 78
  • Endocrine and Autonomic Systems 87
  • Cellular and Molecular Neuroscience 202
  • Hematology 88
  • Neurology 106
  • Pathology and Forensic Medicine 94
Replace Kenneth Silver with:
Kenneth Silver Canada
Fabio Cacciapaglia Italy
Evangelia Spandou Greece
F Vassella Switzerland
Ilan Blatt Israel
Claudia Bartels Germany
J. S. Jenkins United Kingdom
Mi‐Sun Yum South Korea
Dominikus Bönsch Germany
AS Levine United States
V. Collins relative to Kenneth Silver Canada Kenneth Silver's profile →
Citations per field
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Kenneth Silver · 1×
Citations per year

Countries citing papers authored by V. Collins

Since Specialization
Citations

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

Fields of papers citing papers by V. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997142
2 2008116
3 200678
4 200577
5 200472
6 200567
7 200061
8 200743
9 197637
10
Glucose tolerance in a highland population in Papua New Guinea.
198431
11 200429
12 200929
13 200729
14 201027
15 198415
16 200715
17 19898
18
Impaired glucose tolerance in Kiribati.
19847
19 19831
20 20080

About V. Collins

V. Collins is a scholar working on Cellular and Molecular Neuroscience, Nutrition and Dietetics, Molecular Biology, Neurology and Epidemiology, having authored 21 papers that have together received 884 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), BRCA gene mutations in cancer (2 papers), Trace Elements in Health (2 papers), Colorectal Cancer Screening and Detection (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Neurological disorders and treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Cellular and Molecular Neuroscience (202 citations), Hematology (88 citations), Neurology (106 citations) and Pathology and Forensic Medicine (94 citations). V. Collins has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include R. Williamson, Andrew Churchyard, Louise A. Corben, Jane Halliday, Martin B. Delatycki, Michael Fahey, Paul Zimmet, Rosemary Warren, Gary K. Dowse and K. G. M. M. Alberti. Their work appears in journals such as Clinical Genetics, Diabetes, Diabetic Medicine, Diabetes Research and Clinical Practice and Molecular Psychiatry.

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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