Caroline C. Kingdon

792 total citations
22 papers, 503 citations indexed

About

Caroline C. Kingdon is a scholar working on Psychiatry and Mental health, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Caroline C. Kingdon has authored 22 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 7 papers in Neurology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Caroline C. Kingdon's work include Fibromyalgia and Chronic Fatigue Syndrome Research (20 papers), Long-Term Effects of COVID-19 (7 papers) and Multiple Sclerosis Research Studies (4 papers). Caroline C. Kingdon is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (20 papers), Long-Term Effects of COVID-19 (7 papers) and Multiple Sclerosis Research Studies (4 papers). Caroline C. Kingdon collaborates with scholars based in United Kingdom, Canada and United States. Caroline C. Kingdon's co-authors include Eliana Lacerda, Luís Nacul, Kathleen Mudie, Jacqueline M. Cliff, Taane G. Clark, Hazel M. Dockrell, Shennae O’Boyle, Luigi Palla, Ji‐Sook Lee and Eleanor M. Riley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Advanced Science.

In The Last Decade

Caroline C. Kingdon

21 papers receiving 481 citations

Peers

Caroline C. Kingdon
Comparison fields: 5 of 72
  • Psychiatry and Mental health 398
  • Neurology 168
  • Cellular and Molecular Neuroscience 72
  • General Health Professions 69
  • Clinical Psychology 54
Replace Don Staines with:
Don Staines Australia
Sharni Lee Hardcastle Australia
Teilah Kathryn Huth Australia
Ruud CW Vermeulen Netherlands
Carmelo Chisari Italy
Rosamund Vallings New Zealand
Victoria Strassheim United Kingdom
Svetlana Mikhaylova Russia
Hossein Pakdaman Iran
D. Gavin Quigley Canada
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Citations per field, relative to Caroline C. Kingdon
Caroline C. Kingdon · 1×
Citations per year, relative to Caroline C. Kingdon
Caroline C. Kingdon · 1×

Countries citing papers authored by Caroline C. Kingdon

Since Specialization
Citations

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

Fields of papers citing papers by Caroline C. Kingdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline C. Kingdon

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline C. Kingdon. A scholar is included among the top collaborators of Caroline C. Kingdon 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 Caroline C. Kingdon. Caroline C. Kingdon 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 4
2 0
3 15
4 4
5 8
6 26
7 9
8 67
9 28
10 22
11 56
12 12
13 41
14 28
15 45
16 28
17 30
18 16
19 5
20 18

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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2026