Caroline Witton

4.4k citations
57 papers · 3.4k indexed · h-index 28

Impact in

Papers in

Caroline Witton

56 papers receiving 3.3k citations

Peers

Caroline Witton
Comparison fields: 5 of 133
  • Developmental and Educational Psychology 1.0k
  • Cognitive Neuroscience 1.6k
  • Statistics and Probability 472
  • Oncology 874
  • Experimental and Cognitive Psychology 362
Replace Marialuisa Martelli with:
Marialuisa Martelli Italy
James T. Voyvodic United States
Tiina Salminen Finland
Andrew A. Davis United States
Thomas Scerri United Kingdom
Suzanne M. Delaney United States
Laura Winchester United Kingdom
Yuko Yoshimura Japan
John D. Lewis Canada
Kathryn Davidson United States
Caroline Witton relative to Marialuisa Martelli Italy Marialuisa Martelli's profile →
Citations per field
00.5×2.7×
Marialuisa Martelli · 1×
Citations per year

Countries citing papers authored by Caroline Witton

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Witton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Witton. 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 Caroline Witton. The network helps show where Caroline Witton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202045
2 201916
3 201822
4 20170
5 201515
6 201454
7 200941
8 200819
9 200827
10 20067
11 2005224
12 20046
13 200486
14 200477
15
Gene amplifications associated with the development of hormone-resistant prostate cancer.
2003168
16 200353
17 20036
18 200027
19 199953
20 1996106

About Caroline Witton

Caroline Witton is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Statistics and Probability and Sensory Systems, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reading and Literacy Development (17 papers), Neuroscience and Music Perception (13 papers), Neural dynamics and brain function (10 papers), Hearing Loss and Rehabilitation (9 papers), Multisensory perception and integration (8 papers), EEG and Brain-Computer Interfaces (8 papers), HER2/EGFR in Cancer Research (7 papers) and Language Development and Disorders (7 papers). The work is most often cited by research in Developmental and Educational Psychology (1.0k citations), Cognitive Neuroscience (1.6k citations), Statistics and Probability (472 citations), Oncology (874 citations) and Experimental and Cognitive Psychology (362 citations). Caroline Witton has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include John M.S. Bartlett, Joel B. Talcott, Timothy G. Cooke, Adrian Rees, John Stein, Gary Green, Jonathan R. Reeves, Timothy D. Griffiths, James J. Going and P. Hansen. Their work appears in journals such as Breast Cancer Research, NeuroImage, Dyslexia, Histopathology and Nature Neuroscience.

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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