Catherine Guy

513 citations
11 papers · 325 · h-index 7

Impact in

Papers in

Catherine Guy

11 papers receiving 322 citations

Peers

Catherine Guy
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 188
  • Genetics 248
  • Immunology 108
  • Surgery 189
  • Gastroenterology 6
Replace Paola Frongia with:
Paola Frongia Italy
Anna E. Long United Kingdom
Efisio Angius Italy
Heinrich Kahles Germany
Alexandra Fouts United States
DA Heaton United Kingdom
Ursule Van de Velde Belgium
Shannon Fourtner United States
Mario Silvetti Italy
K. S. Rønningen Norway
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Citations per field
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Citations per year

Countries citing papers authored by Catherine Guy

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014178
2 201444
3 201335
4 201627
5 201813
6 20189
7 20157
8
[Sucralfate and bezoars: data from the system of pharmacologic vigilance and review of the literature].
19995
9 20214
10 20112
11
Blood and Islet Phenotypes Indicate Immunological Heterogeneity in Type 1 Diabetes (vol 63, pg 3835, 2014)
20151

About Catherine Guy

Catherine Guy is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Immunology and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (4 papers), Neonatal Health and Biochemistry (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Intestinal Malrotation and Obstruction Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Genetics (248 citations), Immunology (108 citations), Surgery (189 citations) and Gastroenterology (6 citations). Catherine Guy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David B. Dunger, John A. Todd, Mark Peakman, Sefina Arif, Anna Lorenc, Jake Powrie, Deborah Kronenberg‐Versteeg, Megan Estorninho, Katherine Marks and Emanuele de Rinaldis. Their work appears in journals such as The Journal of Immunology, BMJ Open, Journal of Hepatology, Diabetes and Diabetic Medicine.

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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