John A. Goodfellow

1.0k total citations
16 papers, 715 citations indexed

About

John A. Goodfellow is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, John A. Goodfellow has authored 16 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 8 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in John A. Goodfellow's work include Peripheral Neuropathies and Disorders (12 papers), Hereditary Neurological Disorders (8 papers) and Myasthenia Gravis and Thymoma (3 papers). John A. Goodfellow is often cited by papers focused on Peripheral Neuropathies and Disorders (12 papers), Hereditary Neurological Disorders (8 papers) and Myasthenia Gravis and Thymoma (3 papers). John A. Goodfellow collaborates with scholars based in United Kingdom, Netherlands and Italy. John A. Goodfellow's co-authors include Hugh J. Willison, Maria Elena Farrugia, Susan K. Halstead, Peter Humphreys, Jaap J. Plomp, Eric R. Wagner, Richard A. Smith, Jakub Scaber, Kevin Talbot and Martin R. Turner and has published in prestigious journals such as Journal of Neuroscience, Annals of Neurology and Nature Reviews Neurology.

In The Last Decade

John A. Goodfellow

15 papers receiving 697 citations

Peers

John A. Goodfellow
Comparison fields: 5 of 82
  • Neurology 547
  • Cellular and Molecular Neuroscience 314
  • Molecular Biology 81
  • Infectious Diseases 70
  • Genetics 68
Replace L. H. Visser with:
L. H. Visser Netherlands
Itay Lotan Israel
Ashwin Pinto United Kingdom
David R. Cornblath United States
Gigi J. Ebenezer United States
Masanaga Yamawaki Japan
Michel Melanson Canada
Markus Klotz Germany
R Crols Belgium
Christopher Troedson Australia
L. H. Visser Netherlands View profile →
Citations per field, relative to John A. Goodfellow
John A. Goodfellow · 1×
Citations per year, relative to John A. Goodfellow
John A. Goodfellow · 1×

Countries citing papers authored by John A. Goodfellow

Since Specialization
Citations

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

Fields of papers citing papers by John A. Goodfellow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Goodfellow

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 74
2 23
3 22
4 1
5 1
6 127
7
GBS100: Celebrating a Century of Progress in Guillain-Barré Syndrome
2
8 55
9 30
10 4
11 38
12 76
13 23
14 96
15 51
16 92

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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