G Dow

502 citations
7 papers · 367 indexed · h-index 5

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 1
    • Clostridium difficile and Clostridium perfringens research 1
    • Surgical Sutures and Adhesives 1

G Dow

7 papers receiving 334 citations

Peers

G Dow
Comparison fields: 5 of 69
  • Rehabilitation 148
  • Occupational Therapy 68
  • Infectious Diseases 165
  • Endocrinology, Diabetes and Metabolism 84
  • Epidemiology 148
Replace Haidy G. Rivero with:
Haidy G. Rivero United States
Asima Banu India
A. J. van Griethuysen Netherlands
WALTER E. SWITZER United States
Aobuliaximu Yakupu China
Benjamin Kressmann Switzerland
Caroline Whately‐Smith United Kingdom
José Neves Portugal
Allie Clinton Smith United States
Michelle M. Lister United Kingdom
G Dow relative to Haidy G. Rivero United States Haidy G. Rivero's profile →
Citations per field
00.5×3.2×
Haidy G. Rivero · 1×
Citations per year

Countries citing papers authored by G Dow

Since Specialization
Citations

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

Fields of papers citing papers by G Dow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside G Dow, 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 G Dow Line = papers co-authored together G Dow links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Infection in chronic wounds: controversies in diagnosis and treatment.
1999188
2 2006154
3 20108
4
A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease.
20186
5 20226
6 19983
7 20232

About G Dow

G Dow is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Endocrinology, having authored 7 papers that have together received 367 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (2 papers), Escherichia coli research studies (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Surgical Sutures and Adhesives (1 paper), Nosocomial Infections in ICU (1 paper), Computational Drug Discovery Methods (1 paper), Wound Healing and Treatments (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Rehabilitation (148 citations), Occupational Therapy (68 citations), Infectious Diseases (165 citations), Endocrinology, Diabetes and Metabolism (84 citations) and Epidemiology (148 citations). G Dow has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include R. Gary Sibbald, Gary Garber, David A. Johnson, Joseph F. John, K.H. Weiss, Thomas Louie, Stacey L. Simon, Jennifer Peppe, Rezika Mohammed and David M. Davidson. Their work appears in journals such as Journal of Bacteriology, Clinical Infectious Diseases, Canadian Journal of Infectious Diseases and Medical Microbiology and PubMed.

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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