G. Schultz

877 total citations · 1 hit paper
10 papers, 648 citations indexed

About

G. Schultz is a scholar working on Rehabilitation, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Schultz has authored 10 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rehabilitation, 3 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Schultz's work include Wound Healing and Treatments (5 papers), Surgical Sutures and Adhesives (3 papers) and Corneal Surgery and Treatments (2 papers). G. Schultz is often cited by papers focused on Wound Healing and Treatments (5 papers), Surgical Sutures and Adhesives (3 papers) and Corneal Surgery and Treatments (2 papers). G. Schultz collaborates with scholars based in United States, Australia and Denmark. G. Schultz's co-authors include Matthew Malone, Garth A. James, Thomas Bjarnsholt, Paul Stoodley, Masahiro Tachi, Andrew J. McBain, D J Leaper, Terry Swanson, Randy Wolcott and Robert A. Brown and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Cornea and Journal of Infection.

In The Last Decade

G. Schultz

9 papers receiving 619 citations

Hit Papers

The prevalence of biofilms in chronic wounds: a systemati... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Schultz United States 6 346 224 105 102 95 10 648
Carlos Ricotti United States 12 248 0.7× 245 1.1× 116 1.1× 64 0.6× 40 0.4× 35 774
Jamie L. Burgess United States 11 537 1.6× 171 0.8× 85 0.8× 215 2.1× 129 1.4× 16 937
Piya Das Ghatak United States 13 309 0.9× 272 1.2× 82 0.8× 37 0.4× 49 0.5× 17 635
Alex Cazzaniga United States 12 211 0.6× 214 1.0× 183 1.7× 37 0.4× 30 0.3× 20 826
Baraa Zuhaili United States 10 277 0.8× 113 0.5× 120 1.1× 93 0.9× 53 0.6× 16 528
Yuan‐Kun Wu Taiwan 9 192 0.6× 173 0.8× 120 1.1× 38 0.4× 34 0.4× 15 591
Henrik Sönnergren Sweden 7 557 1.6× 105 0.5× 167 1.6× 156 1.5× 158 1.7× 9 797
Greg Schultz United States 11 197 0.6× 129 0.6× 102 1.0× 51 0.5× 51 0.5× 17 586
Oliver Kloeters Germany 15 687 2.0× 150 0.7× 415 4.0× 174 1.7× 150 1.6× 31 1.2k
Hiromasa Tanno Japan 13 284 0.8× 225 1.0× 64 0.6× 45 0.4× 35 0.4× 30 715

Countries citing papers authored by G. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by G. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of G. Schultz. A scholar is included among the top collaborators of G. Schultz 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 G. Schultz. G. Schultz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
James, Garth A., Darla M. Goeres, Thomas Bjarnsholt, et al.. (2019). The efficacy of topical agents used in wounds for managing chronic biofilm infections: A systematic review. Journal of Infection. 80(3). 261–270. 43 indexed citations
2.
3.
Malone, Matthew, Thomas Bjarnsholt, Andrew J. McBain, et al.. (2017). The prevalence of biofilms in chronic wounds: a systematic review and meta-analysis of published data. Journal of Wound Care. 26(1). 20–25. 424 indexed citations breakdown →
4.
Goss, Sandra, et al.. (2015). Effect of Medical Honey on Pro-Inflammatory Cytokines in Chronically Infected Venous Leg Ulcers.
5.
Aldave, Anthony J., Barış Sönmez, Nirit Bourla, et al.. (2007). Autosomal Dominant Cornea Plana is not Associated with Pathogenic Mutations inDCN, DSPG3, FOXC1, KERA, LUM,orPITX2. Ophthalmic Genetics. 28(2). 57–67. 6 indexed citations
6.
Liu, J., G. Schultz, Sonal S. Tuli, David C. Bloom, & Alfred S. Lewin. (2004). Gene Therapy of Herpes Simplex Keratitis Using Hammerhead Ribozymes. Investigative Ophthalmology & Visual Science. 45(13). 1636–1636. 1 indexed citations
7.
Schultz, G., et al.. (2003). Principles of Wound Bed Preparation and Their Application to the Treatment of Chronic Wounds. UWA Profiles and Research Repository (University of Western Australia). 11(4). 171–182. 8 indexed citations
8.
Mudera, Vivek, Mark Eastwood, Roy Tarnuzzer, et al.. (2000). Molecular responses of human dermal fibroblasts to dual cues: Contact guidance and mechanical load. Cell Motility and the Cytoskeleton. 45(1). 1–9. 113 indexed citations
9.
Franzén, Lennart, et al.. (1993). Specific binding of EGF in connective tissue repair.. PubMed. 60(2). 346–50. 4 indexed citations
10.
Schultz, G., Laura Cipolla, Adrian Whitehouse, et al.. (1992). Growth Factors and Corneal Endothelial Cells: III. Stimulation of Adult Human Corneal Endothelial Cell Mitosis In Vitro by Defined Mitogenic Agents. Cornea. 11(1). 20–27. 47 indexed citations

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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