W. J. Williams

902 total citations
21 papers, 661 citations indexed

About

W. J. Williams is a scholar working on Molecular Biology, Cognitive Neuroscience and Physiology. According to data from OpenAlex, W. J. Williams has authored 21 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 4 papers in Physiology. Recurrent topics in W. J. Williams's work include EEG and Brain-Computer Interfaces (4 papers), Enzyme function and inhibition (3 papers) and Sarcoidosis and Beryllium Toxicity Research (3 papers). W. J. Williams is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Enzyme function and inhibition (3 papers) and Sarcoidosis and Beryllium Toxicity Research (3 papers). W. J. Williams collaborates with scholars based in United States and United Kingdom. W. J. Williams's co-authors include M. P. Esnouf, Ronald F. Coburn, S. Benham Kahn, Peter White, Hitten P. Zaveri, Leonidas Iasemidis, Robert F. Erlandson, Katsuhiko Shirai, William Heetderks and Morton I. Cohen and has published in prestigious journals such as Journal of Clinical Investigation, Thorax and Electroencephalography and Clinical Neurophysiology.

In The Last Decade

W. J. Williams

20 papers receiving 581 citations

Peers

W. J. Williams
Comparison fields: 5 of 110
  • Molecular Biology 259
  • Hematology 138
  • Physiology 119
  • Genetics 115
  • Pediatrics, Perinatology and Child Health 113
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Philip P. Dembure United States
Karen S. Blisard United States
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Hiroshi Nishitani Japan
Cristina Mangas Spain
J Moretti France
Laurence M. Black United States
R Tsuda Japan
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Citations per field, relative to W. J. Williams
W. J. Williams · 1×
Citations per year, relative to W. J. Williams
W. J. Williams · 1×

Countries citing papers authored by W. J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by W. J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. J. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of W. J. Williams. A scholar is included among the top collaborators of W. J. Williams 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 W. J. Williams. W. J. Williams 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
# Work Indexed citations
1 26
2 1
3 5
4
Silent sarcoidosis and clubbing.
2
5 31
6
LOMI (low oxidation-state transition metal ion) decontamination reagents and related preoxidation processes: Final report
5
7
Platelet binding in mononuclear cell preparations from peripheral blood.
8
8 26
9 7
10 6
11
REGULATION AND CONTROL IN PHYSIOLOGICAL SYSTEMS.
48
12 0
13
Studies of the coagulant protein of russells viper venom
1
14 2
15 72
16 127
17 117
18 129
19 22
20 24

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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