S.J. Goodson

1.1k citations
11 papers · 893 indexed · h-index 8

Impact in

Papers in

S.J. Goodson

11 papers receiving 859 citations

Peers

S.J. Goodson
Comparison fields: 5 of 76
  • Insect Science 327
  • Parasitology 69
  • Physiology 44
  • Cellular and Molecular Neuroscience 150
  • Molecular Biology 542
Replace Claude V. Maina with:
Claude V. Maina United States
Suzanne Gokool United Kingdom
George Tzertzinis United States
Cara M. Coburn United States
Karen H. Berger United States
Jean‐Louis Schwartz Canada
Matthias Flötenmeyer Germany
Lisa L. Drake United States
S.J. Goodson relative to Claude V. Maina United States Claude V. Maina's profile →
Citations per field
00.5×3.7×
Claude V. Maina · 1×
Citations per year

Countries citing papers authored by S.J. Goodson

Since Specialization
Citations

This map shows the geographic impact of S.J. Goodson'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. Goodson 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. Goodson more than expected).

Fields of papers citing papers by S.J. Goodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200363
2 2002111
3 2000145
4 2000145
5
Molecular genetic studies of knockdown resistance (kdr ) to pyrethroids
19981
6 1996255
7 199629
8 19955
9 19951
10 199497
11 197741

About S.J. Goodson

S.J. Goodson is a scholar working on Physiology, Insect Science, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 893 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (3 papers), Virus-based gene therapy research (2 papers), Ion channel regulation and function (2 papers), Insect and Pesticide Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Insect Resistance and Genetics (2 papers), Viral Infections and Immunology Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Insect Science (327 citations), Parasitology (69 citations), Physiology (44 citations), Cellular and Molecular Neuroscience (150 citations) and Molecular Biology (542 citations). S.J. Goodson has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Martin S. Williamson, Stephen Edward Rees, A. L. Devonshire, Jenny Stables, Stephen Harris, Horia Vais, P.N.R. Usherwood, Jeffrey W. Warmke, Charles J. Cohen and Shai Morin. Their work appears in journals such as FEBS Letters, Pharmacological Research, Pesticide Biochemistry and Physiology, The Journal of General Physiology and The Journal of Experimental Medicine.

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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