A.J. Robertson

2.0k total citations
45 papers, 1.6k citations indexed

About

A.J. Robertson is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, A.J. Robertson has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 19 papers in Molecular Biology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in A.J. Robertson's work include Insect and Pesticide Research (9 papers), Seed Germination and Physiology (9 papers) and Plant and animal studies (9 papers). A.J. Robertson is often cited by papers focused on Insect and Pesticide Research (9 papers), Seed Germination and Physiology (9 papers) and Plant and animal studies (9 papers). A.J. Robertson collaborates with scholars based in Canada, Egypt and Japan. A.J. Robertson's co-authors include Lawrence V. Gusta, Masaya Ishikawa, Ronald W. Wilen, Yahya Al Naggar, John P. Giesy, G. H. Rank, Guohai Wu, Garry Codling, Dermot R. Lynch and R. J. Howard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

A.J. Robertson

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.J. Robertson Canada 21 1.1k 576 331 230 191 45 1.6k
Ron A. Salzman United States 21 1.6k 1.5× 1.1k 1.9× 734 2.2× 108 0.5× 101 0.5× 28 2.2k
Alejandro Calderón‐Urrea United States 20 1.4k 1.3× 864 1.5× 66 0.2× 212 0.9× 146 0.8× 43 1.8k
L. Grant Bailey Canada 16 1.8k 1.7× 1.2k 2.0× 72 0.2× 419 1.8× 397 2.1× 36 2.4k
Carole L. Bassett United States 26 1.9k 1.8× 1.3k 2.2× 76 0.2× 134 0.6× 140 0.7× 80 2.4k
Robert P. Doss United States 17 712 0.7× 303 0.5× 341 1.0× 367 1.6× 34 0.2× 67 1.0k
Curt L. Brubaker Australia 26 2.7k 2.5× 842 1.5× 86 0.3× 363 1.6× 244 1.3× 46 3.1k
Emma W. Gachomo United States 23 1.3k 1.3× 559 1.0× 106 0.3× 102 0.4× 107 0.6× 49 1.7k
Jernej Jakše Slovenia 28 1.9k 1.8× 656 1.1× 209 0.6× 287 1.2× 441 2.3× 156 2.4k
Phat Dang United States 20 1.1k 1.0× 438 0.8× 246 0.7× 71 0.3× 162 0.8× 63 1.4k
Hongbo Liu China 24 2.5k 2.4× 1.2k 2.1× 216 0.7× 78 0.3× 180 0.9× 44 2.9k

Countries citing papers authored by A.J. Robertson

Since Specialization
Citations

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

Fields of papers citing papers by A.J. Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.J. Robertson. 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 A.J. Robertson. The network helps show where A.J. Robertson may publish in the future.

Co-authorship network of co-authors of A.J. Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of A.J. Robertson. A scholar is included among the top collaborators of A.J. Robertson 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 A.J. Robertson. A.J. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Robertson, A.J., Erin Scruten, Tom P. Robertson, et al.. (2020). Kinome Analysis of Honeybee (Apis mellifera L.) Dark-Eyed Pupae Identifies Biomarkers and Mechanisms of Tolerance to Varroa Mite Infestation. Scientific Reports. 10(1). 2117–2117. 3 indexed citations
2.
Codling, Garry, Yahya Al Naggar, John P. Giesy, & A.J. Robertson. (2017). Neonicotinoid insecticides in pollen, honey and adult bees in colonies of the European honey bee (Apis mellifera L.) in Egypt. Ecotoxicology. 27(2). 122–131. 23 indexed citations
3.
Naggar, Yahya Al, Garry Codling, Elsaied Naiem, et al.. (2015). Exposure of honeybees (Apis mellifera) in Saskatchewan, Canada to organophosphorus insecticides. Apidologie. 46(5). 667–678. 20 indexed citations
4.
Codling, Garry, Yahya Al Naggar, John P. Giesy, & A.J. Robertson. (2015). Concentrations of neonicotinoid insecticides in honey, pollen and honey bees (Apis mellifera L.) in central Saskatchewan, Canada. Chemosphere. 144. 2321–2328. 127 indexed citations
5.
Naggar, Yahya Al, Yang Tan, Wayne Connor, et al.. (2015). Effects of treatments with Apivar® and Thymovar® on V. destructor populations, virus infections and indoor winter survival of Canadian honey bee (Apis mellifera L.) colonies. Journal of Apicultural Research. 54(5). 548–554. 20 indexed citations
6.
Teerawanichpan, Prapapan, A.J. Robertson, & Xiao Qiu. (2010). A fatty acyl-CoA reductase highly expressed in the head of honey bee (Apis mellifera) involves biosynthesis of a wide range of aliphatic fatty alcohols. Insect Biochemistry and Molecular Biology. 40(9). 641–649. 78 indexed citations
7.
Ishikawa, Masaya, et al.. (2006). Effect of Growth Phase on Survival of Bromegrass Suspension Cells Following Cryopreservation and Abiotic Stresses. Annals of Botany. 97(3). 453–459. 18 indexed citations
8.
9.
10.
Wu, Guohai, et al.. (2004). A lipid transfer protein gene BG-14 is differentially regulated by abiotic stress, ABA, anisomycin, and sphingosine in bromegrass (Bromus inermis). Journal of Plant Physiology. 161(4). 449–458. 52 indexed citations
11.
Kawchuk, L. M., John Hachey, Dermot R. Lynch, et al.. (2001). Tomato Ve disease resistance genes encode cell surface-like receptors. Proceedings of the National Academy of Sciences. 98(11). 6511–6515. 348 indexed citations
12.
Wilen, Ronald W., et al.. (2000). Dehydrin Gene Expression and Leaf Water Potential Differs between Spring and Winter Cereals During Cold Acclimation. Journal of Plant Physiology. 156(3). 394–400. 19 indexed citations
13.
Gusta, Lawrence V., et al.. (1997). Genetic and environmental control of winter survival of winter cereals. Acta Agronomica Hungarica. 45(3). 231–240. 16 indexed citations
14.
15.
Robertson, A.J., Masaya Ishikawa, Lawrence V. Gusta, & S. L. MacKenzie. (1994). Abscisic Acid-Induced Heat Tolerance in Bromus inermis Leyss Cell-Suspension Cultures (Heat-Stable, Abscisic Acid-Responsive Polypeptides in Combination with Sucrose Confer Enhanced Thermostability). PLANT PHYSIOLOGY. 105(1). 181–190. 98 indexed citations
16.
17.
Ishikawa, Masaya, A.J. Robertson, & Lawrence V. Gusta. (1990). Effect of Temperature, Light, Nutrients and Dehardening on Abscisic Acid Induced Cold Hardiness in <italic>Bromus inermis</italic> Leyss Suspension Cultured Cells. Plant and Cell Physiology. 24 indexed citations
18.
Robertson, A.J., Lawrence V. Gusta, Martin J. T. Reaney, & Masaya Ishikawa. (1987). Protein Synthesis in Bromegrass (Bromus inermis Leyss) Cultured Cells during the Induction of Frost Tolerance by Abscisic Acid or Low Temperature. PLANT PHYSIOLOGY. 84(4). 1331–1336. 65 indexed citations
19.
Robertson, A.J. & Lawrence V. Gusta. (1986). Abscisic acid and low temperature induced polypeptide changes in alfalfa (Medicago sativa) cell suspension cultures. Canadian Journal of Botany. 64(11). 2758–2763. 16 indexed citations
20.
Rank, G. H., James H. Gerlach, A.J. Robertson, & R.P. Van Hoeven. (1978). High viscosity vesicles of yeast separated at pH 4 have surface glycoprotein. Nature. 273(5664). 682–684. 3 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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