S. J. Peesker

18 total papers · 502 total citations
16 papers, 425 citations indexed

About

S. J. Peesker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, S. J. Peesker has authored 16 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Plant Science. Recurrent topics in S. J. Peesker's work include Neuroscience and Neuropharmacology Research (8 papers), GABA and Rice Research (5 papers) and Metabolism and Genetic Disorders (3 papers). S. J. Peesker is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), GABA and Rice Research (5 papers) and Metabolism and Genetic Disorders (3 papers). S. J. Peesker collaborates with scholars based in Canada. S. J. Peesker's co-authors include J. D. Wood, Dennis K.J. Gorecki, J. Scott Durham, Donald G. Blair, B. Rozdilsky, Joseph F. Morgan and Michael Dommasch and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Brain Research and Journal of Neurochemistry.

In The Last Decade

S. J. Peesker

16 papers receiving 381 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. J. Peesker 249 164 83 76 61 16 425
Terry J. Danielson 179 0.7× 144 0.9× 37 0.4× 31 0.4× 43 0.7× 32 431
J.C.R. Fernando 262 1.1× 102 0.6× 49 0.6× 65 0.9× 55 0.9× 22 488
Ronald M. Norton 128 0.5× 130 0.8× 16 0.2× 61 0.8× 64 1.0× 10 368
Carlos Clayton Torres Aguiar 154 0.6× 115 0.7× 35 0.4× 74 1.0× 97 1.6× 12 452
Rodolfo Bongiovanni 205 0.8× 181 1.1× 50 0.6× 61 0.8× 49 0.8× 30 467
M. Nokubo 105 0.4× 168 1.0× 33 0.4× 67 0.9× 33 0.5× 15 455
Maziar Gooshe 72 0.3× 93 0.6× 39 0.5× 43 0.6× 37 0.6× 15 373
M. Girado 230 0.9× 112 0.7× 31 0.4× 58 0.8× 37 0.6× 12 375
Akitane Mori 77 0.3× 124 0.8× 40 0.5× 84 1.1× 39 0.6× 19 388
Frederick N. Minard 188 0.8× 200 1.2× 35 0.4× 81 1.1× 32 0.5× 24 475

Countries citing papers authored by S. J. Peesker

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Peesker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. J. Peesker

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

All Works

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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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