Kath M. Bogie

1.8k total citations
67 papers, 1.2k citations indexed

About

Kath M. Bogie is a scholar working on Occupational Therapy, Endocrinology, Diabetes and Metabolism and Rehabilitation. According to data from OpenAlex, Kath M. Bogie has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Occupational Therapy, 22 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Rehabilitation. Recurrent topics in Kath M. Bogie's work include Pressure Ulcer Prevention and Management (29 papers), Diabetic Foot Ulcer Assessment and Management (22 papers) and Wound Healing and Treatments (17 papers). Kath M. Bogie is often cited by papers focused on Pressure Ulcer Prevention and Management (29 papers), Diabetic Foot Ulcer Assessment and Management (22 papers) and Wound Healing and Treatments (17 papers). Kath M. Bogie collaborates with scholars based in United States, Canada and United Kingdom. Kath M. Bogie's co-authors include Ronald J. Triolo, Chester Ho, Xiaofeng Wang, Dan L. Bader, I Nuseibeh, Christian A. Zorman, Xiaofeng Wang, Anthony F. DiMarco, Jiayang Sun and Steven I. Reger and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kath M. Bogie

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kath M. Bogie United States 20 435 421 374 287 245 67 1.2k
Martin Ferguson-Pell Canada 21 363 0.8× 203 0.5× 359 1.0× 157 0.5× 243 1.0× 74 1.5k
Charles Fattal France 22 165 0.4× 291 0.7× 445 1.2× 107 0.4× 517 2.1× 105 1.4k
Fuk‐Tan Tang Taiwan 24 85 0.2× 919 2.2× 559 1.5× 377 1.3× 133 0.5× 48 2.4k
Ian Swain United Kingdom 21 117 0.3× 706 1.7× 705 1.9× 43 0.1× 188 0.8× 73 1.6k
Jakub Taradaj Poland 23 134 0.3× 399 0.9× 111 0.3× 95 0.3× 56 0.2× 94 1.5k
Claudia Giacomozzi Italy 26 196 0.5× 496 1.2× 570 1.5× 869 3.0× 54 0.2× 85 1.8k
Itzhak Siev‐Ner Israel 23 260 0.6× 351 0.8× 551 1.5× 346 1.2× 95 0.4× 61 1.5k
Ethne L. Nussbaum Canada 15 76 0.2× 203 0.5× 193 0.5× 62 0.2× 45 0.2× 32 1.1k
Hans Jürgen Gerner Germany 21 82 0.2× 181 0.4× 364 1.0× 67 0.2× 591 2.4× 54 1.7k
William A. Sands United States 34 148 0.3× 215 0.5× 1.2k 3.2× 37 0.1× 63 0.3× 136 4.1k

Countries citing papers authored by Kath M. Bogie

Since Specialization
Citations

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

Fields of papers citing papers by Kath M. Bogie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kath M. Bogie. 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 Kath M. Bogie. The network helps show where Kath M. Bogie may publish in the future.

Co-authorship network of co-authors of Kath M. Bogie

This figure shows the co-authorship network connecting the top 25 collaborators of Kath M. Bogie. A scholar is included among the top collaborators of Kath M. Bogie 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 Kath M. Bogie. Kath M. Bogie 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
1.
Wang, Jijia, et al.. (2025). Markers for Pressure Injury Risk in Individuals with Chronic Spinal Cord Injury: A Pilot Study. Advances in Skin & Wound Care. 38(2). E12–E17.
2.
Schwartz, Katie, et al.. (2023). Development and use of a porcine model with clinically relevant chronic infected wounds. Journal of Tissue Viability. 32(4). 527–535. 6 indexed citations
3.
Graves, Letitia Y., et al.. (2023). Genomic Biomarkers Can Provide a Deeper Understanding of Recurrent Pressure Injuries. Advances in Skin & Wound Care. 36(10). 534–539. 3 indexed citations
4.
Dubey, Nileshkumar, Kath M. Bogie, Cao Chen, et al.. (2022). Three-dimensional printing of clinical scale and personalized calcium phosphate scaffolds for alveolar bone reconstruction. Dental Materials. 38(3). 529–539. 37 indexed citations
5.
Bogie, Kath M., et al.. (2022). Interactive Evidence-Based Pressure Injury Education Program for Hospice Nursing. Journal of Wound Ostomy and Continence Nursing. 49(5). 428–435.
6.
Schwartz, Katie, et al.. (2019). Biomarkers for recurrent pressure injury risk in persons with spinal cord injury. Journal of Spinal Cord Medicine. 43(5). 696–703. 16 indexed citations
7.
Bogie, Kath M., et al.. (2019). Reporter Scaffolds for Clinically Relevant Cell Transplantation Studies. Annals of Biomedical Engineering. 48(7). 1982–1990. 2 indexed citations
8.
Copp, Jonathan A., et al.. (2018). Honey-Based Salve and Burdock Leaf Dressings as an Alternative to Surgical Debridement of a Traumatic Wound Eschar. Advances in Wound Care. 8(3). 101–107. 3 indexed citations
9.
McDaniel, John, et al.. (2018). What Lies Beneath: Why Some Pressure Injuries May Be Unpreventable for Individuals With Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation. 100(6). 1042–1049. 16 indexed citations
10.
Majerus, Steve J. A., et al.. (2016). Flexible, structured MWCNT/PDMS sensor for chronic vascular access monitoring. PubMed. 17. 1–3. 8 indexed citations
11.
Xu, Yifan, et al.. (2014). Personalized prediction of chronic wound healing: An exponential mixed effects model using stereophotogrammetric measurement. Journal of Tissue Viability. 23(2). 48–59. 12 indexed citations
12.
DiFeo, Analisa, et al.. (2014). Crowdsourcing Awareness: Exploration of the Ovarian Cancer Knowledge Gap through Amazon Mechanical Turk. PLoS ONE. 9(1). e85508–e85508. 40 indexed citations
13.
Zorman, Christian A., et al.. (2014). Development of an Integrated Surface Stimulation Device for Systematic Evaluation of Wound Electrotherapy. Annals of Biomedical Engineering. 43(2). 306–313. 6 indexed citations
15.
Wang, Xiaofeng, et al.. (2012). Physiological measurements of tissue health; implications for clinical practice. International Wound Journal. 9(6). 656–664. 17 indexed citations
16.
Bogie, Kath M., Heather L. Powell, & Chester Ho. (2012). New concepts in the prevention of pressure sores. Handbook of clinical neurology. 109. 235–246. 4 indexed citations
17.
Kim, Jennifer, Chester Ho, Xiaofeng Wang, & Kath M. Bogie. (2010). The use of sensory electrical stimulation for pressure ulcer prevention. Physiotherapy Theory and Practice. 26(8). 528–536. 16 indexed citations
18.
McGee, Michael F., et al.. (2008). Evaluation of electrical stimulation for ischemic wound therapy: a feasibility study using the lapine wound model. Archives of Dermatological Research. 301(4). 323–327. 20 indexed citations
19.
McGee, Michael F., et al.. (2007). Relationship of inferior gluteal nerves and vessels: target for application of stimulation devices for the prevention of pressure ulcers in spinal cord injury. Surgical and Radiologic Anatomy. 30(1). 41–45. 4 indexed citations
20.
Bogie, Kath M., Steven I. Reger, S.P. Levine, & Vinod Sahgal. (2000). Electrical Stimulation for Pressure Sore Prevention and Wound Healing. Assistive Technology. 12(1). 50–66. 59 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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