John Baison

422 total citations
10 papers, 229 citations indexed

About

John Baison is a scholar working on Genetics, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, John Baison has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Nature and Landscape Conservation and 3 papers in Molecular Biology. Recurrent topics in John Baison's work include Genetic and phenotypic traits in livestock (4 papers), Forest ecology and management (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). John Baison is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Forest ecology and management (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). John Baison collaborates with scholars based in Sweden, Australia and China. John Baison's co-authors include Harry X. Wu, María Rosario García‐Gil, Zhiqiang Chen, Jin Pan, Bo Karlsson, Johan Westin, Linghua Zhou, Carolina Bernhardsson, Pär K. Ingvarsson and Douglas G. Scofield and has published in prestigious journals such as Scientific Reports, New Phytologist and The Plant Journal.

In The Last Decade

John Baison

10 papers receiving 228 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Baison Sweden 8 131 95 92 46 27 10 229
Bárbara S. F. Müller Brazil 11 185 1.4× 284 3.0× 96 1.0× 69 1.5× 13 0.5× 12 460
Helen Tabbener United Kingdom 4 90 0.7× 62 0.7× 52 0.6× 27 0.6× 32 1.2× 4 161
W. Patrick Cumbie United States 8 135 1.0× 126 1.3× 97 1.1× 119 2.6× 15 0.6× 13 327
Marina Nonić Serbia 6 41 0.3× 110 1.2× 77 0.8× 31 0.7× 16 0.6× 31 203
Marie Deslauriers Canada 9 166 1.3× 119 1.3× 132 1.4× 104 2.3× 17 0.6× 12 347
Jin Pan China 11 231 1.8× 161 1.7× 95 1.0× 117 2.5× 17 0.6× 14 381
Éder Cristian Malta de Lanes Brazil 10 124 0.9× 95 1.0× 37 0.4× 43 0.9× 23 0.9× 16 243
Tania Quesada United States 10 162 1.2× 223 2.3× 75 0.8× 98 2.1× 29 1.1× 19 387
Amaryllis Vidalis Germany 9 106 0.8× 176 1.9× 59 0.6× 131 2.8× 19 0.7× 10 312
Biyue Tan Sweden 8 258 2.0× 246 2.6× 130 1.4× 127 2.8× 13 0.5× 9 470

Countries citing papers authored by John Baison

Since Specialization
Citations

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

Fields of papers citing papers by John Baison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Baison

This figure shows the co-authorship network connecting the top 25 collaborators of John Baison. A scholar is included among the top collaborators of John Baison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Baison. John Baison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, Lili, Pascal Milesi, Jun Chen, et al.. (2022). Teasing apart the joint effect of demography and natural selection in the birth of a contact zone. New Phytologist. 236(5). 1976–1987. 12 indexed citations
2.
Pan, Jin, Tomáš Funda, Zhiqiang Chen, et al.. (2020). Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine. BMC Genomics. 21(1). 796–796. 28 indexed citations
3.
Baison, John, Linghua Zhou, Tommy Mörling, et al.. (2020). Genetic control of tracheid properties in Norway spruce wood. Scientific Reports. 10(1). 18089–18089. 6 indexed citations
4.
Elfstrand, Malin, John Baison, Karl Lundén, et al.. (2020). Association genetics identifies a specifically regulated Norway spruce laccase gene, PaLAC5, linked to Heterobasidion parviporum resistance. Plant Cell & Environment. 43(7). 1779–1791. 18 indexed citations
5.
Bernhardsson, Carolina, Amaryllis Vidalis, Xi Wang, et al.. (2019). An Ultra-Dense Haploid Genetic Map for Evaluating the Highly Fragmented Genome Assembly of Norway Spruce (Picea abies ). G3 Genes Genomes Genetics. 9(5). 1623–1632. 24 indexed citations
6.
Chen, Zhiqiang, John Baison, Jin Pan, et al.. (2019). Increased Prediction Ability in Norway Spruce Trials Using a Marker X Environment Interaction and Non-Additive Genomic Selection Model. Journal of Heredity. 110(7). 830–843. 14 indexed citations
7.
Elfstrand, Malin, Linghua Zhou, John Baison, et al.. (2019). Genotypic variation in Norway spruce correlates to fungal communities in vegetative buds. Molecular Ecology. 29(1). 199–213. 10 indexed citations
8.
Baison, John, Amaryllis Vidalis, Linghua Zhou, et al.. (2019). Genome‐wide association study identified novel candidate loci affecting wood formation in Norway spruce. The Plant Journal. 100(1). 83–100. 43 indexed citations
10.
Baison, John. (2014). Mapping and identification of disease resistance candidate genes in three Malus populations using SSRs, DArT and Infinium SNP markers and Illumina sequencing technology. University of the Western Cape Electronic Theses and Dissertations Repository (University of the Western Cape). 2 indexed citations

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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