Matthew Cardinal

846 citations
13 papers · 669 indexed · h-index 11

Impact in

Papers in

Matthew Cardinal

13 papers receiving 628 citations

Peers

Matthew Cardinal
Comparison fields: 5 of 66
  • Rehabilitation 462
  • Occupational Therapy 240
  • Endocrinology, Diabetes and Metabolism 303
  • Hematology 81
  • Internal Medicine 27
Replace Alejandra C. Vivas with:
Alejandra C. Vivas United States
Ferdinando Campitiello Italy
Laura Parnell United States
L. Freak United Kingdom
JOEP C. J. M. VERAART Netherlands
Stephanie K. Beidler United States
Catherine Denis France
Finja Jockenhöfer Germany
Nicholas A. Richmond United States
B Campanati Italy
Matthew Cardinal relative to Alejandra C. Vivas United States Alejandra C. Vivas's profile →
Citations per field
00.5×10×20×27×
Alejandra C. Vivas · 1×
Citations per year

Countries citing papers authored by Matthew Cardinal

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Cardinal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20231
2 202228
3 20205
4 201860
5 201425
6 201369
7 201122
8 201134
9
A post-hoc analysis of reduction in diabetic foot ulcer size at 4 weeks as a predictor of healing by 12 weeks.
201074
10 2009144
11 200932
12 200925
13 2008150

About Matthew Cardinal

Matthew Cardinal is a scholar working on Occupational Therapy, Rehabilitation, Endocrinology, Diabetes and Metabolism, Genetics and Hematology, having authored 13 papers that have together received 669 indexed citations. Recurring topics across this work include Wound Healing and Treatments (9 papers), Pressure Ulcer Prevention and Management (8 papers), Diabetic Foot Ulcer Assessment and Management (7 papers), Hemophilia Treatment and Research (3 papers), Diagnosis and Treatment of Venous Diseases (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Rehabilitation (462 citations), Occupational Therapy (240 citations), Endocrinology, Diabetes and Metabolism (303 citations), Hematology (81 citations) and Internal Medicine (27 citations). Matthew Cardinal has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Keith G Harding, David E. Eisenbud, Tania J. Phillips, David G. Armstrong, Robert Snyder, Michael Sumner, Robert A. Warriner, James W. Stavosky, Vickie R. Driver and Charles M. Zelen. Their work appears in journals such as Wound Repair and Regeneration, International Wound Journal, Advances in Skin & Wound Care, BMC Dermatology and British Journal of Haematology.

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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