Karen Ribbons

941 total citations
28 papers, 572 citations indexed

About

Karen Ribbons is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Karen Ribbons has authored 28 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Karen Ribbons's work include Multiple Sclerosis Research Studies (12 papers), Ultrasound and Hyperthermia Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Karen Ribbons is often cited by papers focused on Multiple Sclerosis Research Studies (12 papers), Ultrasound and Hyperthermia Applications (5 papers) and Advanced MRI Techniques and Applications (5 papers). Karen Ribbons collaborates with scholars based in Australia, Singapore and United States. Karen Ribbons's co-authors include Jeannette Lechner‐Scott, Rod A. Lea, Mark J.S. Miller, Saadallah Ramadan, David A. Clark, Jane H. Thompson, Jameen Arm, Mark G. Currie, Jim Blanchard and Xueji Zhang and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Karen Ribbons

26 papers receiving 558 citations

Peers

Karen Ribbons
Comparison fields: 5 of 97
  • Pathology and Forensic Medicine 154
  • Molecular Biology 115
  • Surgery 105
  • Immunology 99
  • Physiology 92
Replace Earn H Gan with:
Earn H Gan United Kingdom
Anandakumar Shunmugavel United States
Sumiko Abe Japan
Laura Edwards United Kingdom
Patrick Osei‐Owusu United States
Muriel Quillard France
Denise Zwanziger Germany
Paloma Fernández Spain
Giulia Macchiarulo Italy
Georgette L. Suidan United States
Earn H Gan United Kingdom View profile →
Citations per field, relative to Karen Ribbons
Karen Ribbons · 1×
Citations per year, relative to Karen Ribbons
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Countries citing papers authored by Karen Ribbons

Since Specialization
Citations

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

Fields of papers citing papers by Karen Ribbons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Ribbons

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Ribbons. A scholar is included among the top collaborators of Karen Ribbons 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 Karen Ribbons. Karen Ribbons 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 0
2 0
3 1
4 1
5 5
6 3
7 33
8 7
9 8
10 56
11 3
12 9
13 3
14 21
15 26
16 47
17 39
18 5
19 87
20 17

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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