D. Salmon

52 papers receiving 620 citations

Peers

D. Salmon
Comparison fields: 5 of 96
  • Sensory Systems 233
  • Nutrition and Dietetics 142
  • Virology 41
  • Neurology 47
  • Genetics 131
Replace Nicola Pirastu with:
Nicola Pirastu Italy
John Bienenstock Canada
Sarah J. Mason United States
Judith E. A. Warner United States
Frank Denaro United States
Erol Selimoğlu Türkiye
Sarah Khan Saudi Arabia
Albrecht Bettermann Germany
Jessica A. Randall United States
C. A. Ottaway Canada
D. Salmon relative to Nicola Pirastu Italy Nicola Pirastu's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Salmon

Since Specialization
Citations

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

Fields of papers citing papers by D. Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990281
2 197758
3
[Alzheimer's presenile dementia transmitted in an extended kindred].
198550
4 199037
5
Probability of paternity exclusion when relatives are involved.
197826
6
[Tuberculosis in patients infected with the human immunodeficiency virus. 30 cases].
198817
7 198814
8 198813
9
Expected and observed proportion of subjects excluded from paternity by blood phenotypes of a child and its mother in a sample of 171 families.
198011
10 198010
11 199810
12 19809
13 19979
14 19949
15 19848
16 19778
17
Blood groups in Papua New Guinea Eastern Highlands.
19918
18 19747
19 19997
20
[Exclusion of certain autosomal localizations of blood and serum group genes].
19666

About D. Salmon

D. Salmon is a scholar working on Hematology, Genetics, Molecular Biology, Physiology and Epidemiology, having authored 59 papers that have together received 678 indexed citations. Recurring topics across this work include Blood groups and transfusion (18 papers), Diabetes and associated disorders (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Forensic and Genetic Research (4 papers), T-cell and B-cell Immunology (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Sensory Systems (233 citations), Nutrition and Dietetics (142 citations), Virology (41 citations), Neurology (47 citations) and Genetics (131 citations). D. Salmon has collaborated with scholars based in France, United States and Democratic Republic of the Congo. Frequent co-authors include Christopher W. Seery, C MURPHY, Michael S. Gilmore, Charles T. Salmon, J F Foncin, Amalia C. Bruni, P. Rouger, Alice Guéguen, C. Kaplan and G Macchi. Their work appears in journals such as American Journal of Physical Anthropology, Human Heredity, Journal of Human Evolution, International Journal of Immunogenetics and Journal of Clinical Virology.

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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