John Raelson

2.0k citations
23 papers · 631 · h-index 15

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • Genetic diversity and population structure
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • Plant biochemistry and biosynthesis 2
    • Plant tissue culture and regeneration 2
    • Genetics and Neurodevelopmental Disorders 3
    • Genetic diversity and population structure 3

John Raelson

22 papers receiving 546 citations

Peers

John Raelson
Comparison fields: 5 of 88
  • Physiology 58
  • Genetics 157
  • Ecological Modeling 24
  • Nature and Landscape Conservation 57
  • Ecology 106
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Citations per field
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Citations per year

Countries citing papers authored by John Raelson

Since Specialization
Citations

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

Fields of papers citing papers by John Raelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984127
2 199577
3 199664
4 199450
5 201043
6 199638
7 201327
8 198824
9 200123
10 201721
11 201120
12 198918
13 198917
14 201617
15 199014
16 201613
17 201912
18 20169
19 20178
20 20204

About John Raelson

John Raelson is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 23 papers that have together received 631 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Genetics and Neurodevelopmental Disorders (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genetic diversity and population structure (3 papers), Plant biochemistry and biosynthesis (2 papers), Plant Taxonomy and Phylogenetics (2 papers) and Plant tissue culture and regeneration (2 papers). The work is most often cited by research in Physiology (58 citations), Genetics (157 citations), Ecological Modeling (24 citations), Nature and Landscape Conservation (57 citations) and Ecology (106 citations). John Raelson has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Robert H. Peters, William F. Grant, Catherine B. Lazier, Margaret Mackay, Gloria Shaffer Tannenbaum, Alain Beaudet, Irfan Saadi, Paul Goodyer, Rima Rozen and Hélène Fournier. Their work appears in journals such as Theoretical and Applied Genetics, Journal of Hypertension, Scientific Reports, PLoS ONE and Frontiers in 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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