Kyle Hoedebecke

476 total citations
26 papers, 214 citations indexed

About

Kyle Hoedebecke is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health. According to data from OpenAlex, Kyle Hoedebecke has authored 26 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Health. Recurrent topics in Kyle Hoedebecke's work include Social Media in Health Education (5 papers), Adventure Sports and Sensation Seeking (4 papers) and Injury Epidemiology and Prevention (3 papers). Kyle Hoedebecke is often cited by papers focused on Social Media in Health Education (5 papers), Adventure Sports and Sensation Seeking (4 papers) and Injury Epidemiology and Prevention (3 papers). Kyle Hoedebecke collaborates with scholars based in United States, Nigeria and Türkiye. Kyle Hoedebecke's co-authors include Joseph J. Knapik, Özden Gökdemir, Bruce H. Jones, Cristóbal S. Berry-Cabán, Katy Reynolds, Ryan Steelman, Amarjeet Singh, Bria Graham, Donald E. Nease and Sudip Bhattacharya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomedical Informatics and The International Journal of Psychiatry in Medicine.

In The Last Decade

Kyle Hoedebecke

24 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Hoedebecke United States 10 71 57 27 26 26 26 214
Ankilma do Nascimento Andrade Feitosa Brazil 8 25 0.4× 84 1.5× 16 0.6× 14 0.5× 9 0.3× 91 233
Marie Nakládalová Czechia 11 52 0.7× 42 0.7× 32 1.2× 7 0.3× 57 2.2× 45 289
Jörg Klewer Germany 9 35 0.5× 135 2.4× 60 2.2× 11 0.4× 11 0.4× 62 400
Kim Templeton United States 8 125 1.8× 125 2.2× 34 1.3× 4 0.2× 7 0.3× 10 315
Hilde Strømme Norway 10 75 1.1× 100 1.8× 16 0.6× 12 0.5× 8 0.3× 27 379
Samantha Mucci Brazil 10 44 0.6× 49 0.9× 30 1.1× 17 0.7× 7 0.3× 25 307
Hans Contreras‐Pulache Peru 8 23 0.3× 45 0.8× 67 2.5× 6 0.2× 8 0.3× 68 228
Luíz Fernando Rangel Tura Brazil 10 59 0.8× 109 1.9× 10 0.4× 4 0.2× 33 1.3× 39 276
Magdy A. Darwish Saudi Arabia 9 41 0.6× 47 0.8× 49 1.8× 32 1.2× 2 0.1× 23 271
David A. Ramirez United States 10 76 1.1× 27 0.5× 16 0.6× 4 0.2× 49 1.9× 22 394

Countries citing papers authored by Kyle Hoedebecke

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Hoedebecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Hoedebecke

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Hoedebecke. A scholar is included among the top collaborators of Kyle Hoedebecke 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 Kyle Hoedebecke. Kyle Hoedebecke 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
2.
Bhattacharya, Sudip, et al.. (2020). Harnessing the potential of uploading health educational materials on medical institutions' social media for controlling emerging and re-emerging disease outbreaks. Journal of Education and Health Promotion. 9(1). 213–213. 7 indexed citations
3.
Bhattacharya, Sudip, et al.. (2020). Leveraging unmanned aerial vehicle technology to improve public health practice: Prospects and barriers. Indian Journal of Community Medicine. 45(4). 396–396. 14 indexed citations
4.
Gökdemir, Özden, et al.. (2020). Family Physicians' Knowledge about and Attitudes towards COVID-19 - A Cross-sectional Multicentric Study. Infection and Chemotherapy. 52(4). 539–539. 15 indexed citations
5.
Hoedebecke, Kyle, et al.. (2018). Meeting report: ‘How do I incorporate research into my family practice?’: Reflections on experiences of and solutions for young family doctors. African Journal of Primary Health Care & Family Medicine. 10(1). e1–e6. 9 indexed citations
6.
Hoedebecke, Kyle, et al.. (2018). Collaborative global health E-learning: A Massive Open Online Course experience of young family doctors. SHILAP Revista de lepidopterología. 7(5). 884–884. 18 indexed citations
7.
Nease, Donald E., et al.. (2018). Balint 2.0: A virtual Balint group for doctors around the world. The International Journal of Psychiatry in Medicine. 53(3). 115–125. 14 indexed citations
8.
Hoedebecke, Kyle, et al.. (2017). A qualitative study of young Nigerian family physicians’ views of their specialty. South African Family Practice. 59(3). 98–102. 3 indexed citations
9.
Hoedebecke, Kyle, et al.. (2017). The spice route's perspective on family medicine via the social media project “#1WordforFamilyMedicine”. SHILAP Revista de lepidopterología. 6(2). 180–180.
10.
Hoedebecke, Kyle, et al.. (2016). Healthcare hashtag index development: Identifying global impact in social media. Journal of Biomedical Informatics. 63. 390–399. 26 indexed citations
11.
Hoedebecke, Kyle, et al.. (2015). Young Doctor Movements: motives for membership among aspiring and young family physicians. SHILAP Revista de lepidopterología. 4(2). 177–177. 7 indexed citations
12.
Nguyen, Dana, et al.. (2015). The effects of military deployment on early child development.. PubMed. 81–6. 8 indexed citations
13.
Knapik, Joseph J., et al.. (2014). Risk Factors for Closed-Head Injuries During Military Airborne Operations. Aviation Space and Environmental Medicine. 85(2). 105–111. 8 indexed citations
14.
Knapik, Joseph J., et al.. (2014). Injury Incidence with T-10 and T-11 Parachutes in Military Airborne Operations. Aviation Space and Environmental Medicine. 85(12). 1159–1169. 10 indexed citations
15.
Hoedebecke, Kyle, et al.. (2014). Operational Stressors on Physical Performance in Special Operators and Countermeasures to Improve Performance: A Review of the Literature. Journal of Special Operations Medicine. 14(2). 84–84. 1 indexed citations
16.
Berry-Cabán, Cristóbal S., et al.. (2014). A rare case of moyamoya disease in a 20-year-old Puerto Rican female U.S. soldier.. PubMed. 33(4). 197–9. 1 indexed citations
17.
Knapik, Joseph J., Ryan Steelman, Kyle Hoedebecke, et al.. (2014). Comparison of Injury Incidence Between the T-11 Advanced Tactical Parachute System and the T-10D Parachute, Fort Bragg, North Carolina, June 2010-November 2013. 1 indexed citations
18.
Hoedebecke, Kyle, et al.. (2013). MEDEVAC Use of Ketamine for Postintubation Transport. Journal of Special Operations Medicine. 13(3). 36–36. 1 indexed citations
19.
Hoedebecke, Kyle, et al.. (2013). Drug-Induced Liver Injury Secondary to Testosterone Prohormone Dietary Supplement Use. Journal of Special Operations Medicine. 13(4). 1–1. 2 indexed citations
20.
Knapik, Joseph J., Ryan Steelman, Tyson Grier, et al.. (2011). Military Parachuting Injuries, Associated Events, and Injury Risk Factors. Aviation Space and Environmental Medicine. 82(8). 797–804. 23 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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