Kasey Claborn

917 total citations
42 papers, 646 citations indexed

About

Kasey Claborn is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Kasey Claborn has authored 42 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 16 papers in Infectious Diseases and 12 papers in General Health Professions. Recurrent topics in Kasey Claborn's work include HIV, Drug Use, Sexual Risk (16 papers), HIV/AIDS Research and Interventions (15 papers) and Opioid Use Disorder Treatment (11 papers). Kasey Claborn is often cited by papers focused on HIV, Drug Use, Sexual Risk (16 papers), HIV/AIDS Research and Interventions (15 papers) and Opioid Use Disorder Treatment (11 papers). Kasey Claborn collaborates with scholars based in United States, United Kingdom and Netherlands. Kasey Claborn's co-authors include Thad R. Leffingwell, Ellen Meier, Mary Beth Miller, Scott T. Walters, Clayton Neighbors, Anne C. Fernandez, Liesl A. Nydegger, Susan E. Ramsey, Fiona N. Conway and Tyler B. Wray and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and BMJ Open.

In The Last Decade

Kasey Claborn

37 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kasey Claborn United States 13 333 209 176 158 102 42 646
Megan Oser United States 14 209 0.6× 117 0.6× 105 0.6× 97 0.6× 65 0.6× 30 715
Shayesta Dhalla Canada 11 206 0.6× 169 0.8× 165 0.9× 40 0.3× 136 1.3× 19 641
Lynn E. Kunkel United States 11 295 0.9× 80 0.4× 239 1.4× 84 0.5× 150 1.5× 27 673
Christa Cook United States 14 263 0.8× 285 1.4× 185 1.1× 24 0.2× 62 0.6× 46 625
Bernadette Davantes Heckman United States 15 147 0.4× 293 1.4× 177 1.0× 46 0.3× 101 1.0× 28 626
Monica S. Webb United States 19 107 0.3× 126 0.6× 175 1.0× 236 1.5× 170 1.7× 26 876
Catherine Paquette United States 9 433 1.3× 140 0.7× 122 0.7× 38 0.2× 282 2.8× 38 623
Nicole Ennis Whitehead United States 14 141 0.4× 168 0.8× 174 1.0× 25 0.2× 76 0.7× 31 538
Aruna Gogineni United States 13 443 1.3× 52 0.2× 217 1.2× 80 0.5× 138 1.4× 22 662
Sung–Yeon Kang United States 15 615 1.8× 249 1.2× 304 1.7× 20 0.1× 180 1.8× 24 874

Countries citing papers authored by Kasey Claborn

Since Specialization
Citations

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

Fields of papers citing papers by Kasey Claborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasey Claborn

This figure shows the co-authorship network connecting the top 25 collaborators of Kasey Claborn. A scholar is included among the top collaborators of Kasey Claborn 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 Kasey Claborn. Kasey Claborn 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.
Claborn, Kasey, Fiona N. Conway, & Liesl A. Nydegger. (2024). Acceptability and Perceived Utility of Virtual Reality Among People Who Are Incarcerated Who Use Drugs. Journal of Correctional Health Care. 30(2). 82–96. 2 indexed citations
2.
Graham, S. Scott, et al.. (2024). An interpretable machine learning framework for opioid overdose surveillance from emergency medical services records. PLoS ONE. 19(1). e0292170–e0292170. 3 indexed citations
3.
Graham, S. Scott, et al.. (2024). COVID-19 public health restrictions and opioid overdoes: a summative content analysis of emergency medical services records in three Texas counties. Substance Abuse Treatment Prevention and Policy. 19(1). 45–45.
4.
Amjad, Maaz, et al.. (2024). AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol. BMJ Open. 14(8). e084728–e084728.
5.
Claborn, Kasey, Daniel Sledge, Chris Bailey, et al.. (2023). “We do it ourselves”: strengths and opportunities for improving the practice of harm reduction. Harm Reduction Journal. 20(1). 70–70. 5 indexed citations
6.
Nydegger, Liesl A., et al.. (2023). Housing Insecurity and Other Syndemic Factors Experienced by Black and Latina Cisgender Women in Austin, Texas: A Qualitative Study. International Journal of Environmental Research and Public Health. 20(24). 7177–7177.
7.
Grigsby, Timothy J., et al.. (2023). Adverse Childhood Experiences, Substance Use, and Self-Reported Substance Use Problems Among Sexual and Gender Diverse Individuals: Moderation by History of Mental Illness. Journal of Child & Adolescent Trauma. 16(4). 1089–1097. 2 indexed citations
8.
9.
Graham, S. Scott, et al.. (2022). Opioid use stigmatization and destigmatization in health professional social media. Addiction Research & Theory. 30(5). 375–381. 4 indexed citations
10.
Conway, Fiona N., et al.. (2022). Impact of COVID-19 among people who use drugs: A qualitative study with harm reduction workers and people who use drugs. Harm Reduction Journal. 19(1). 72–72. 30 indexed citations
11.
Claborn, Kasey, Kelli Scott, & Sara J. Becker. (2022). Cross-training needs among community-based clinicians in HIV and substance use. BMC Medical Education. 22(1). 629–629. 2 indexed citations
12.
Claborn, Kasey, et al.. (2021). Improving linkage and retention in treatment among people living with HIV and comorbid substance use. AIDS Care. 34(10). 1282–1287. 1 indexed citations
13.
Nydegger, Liesl A. & Kasey Claborn. (2020). Exploring patterns of substance use among highly vulnerable Black women at-risk for HIV through a syndemics framework: A qualitative study. PLoS ONE. 15(7). e0236247–e0236247. 18 indexed citations
14.
15.
Claborn, Kasey, Ellen Meier, Mary Beth Miller, et al.. (2018). Improving adoption and acceptability of digital health interventions for HIV disease management: a qualitative study. Translational Behavioral Medicine. 8(2). 268–279. 8 indexed citations
16.
Claborn, Kasey, Sara J. Becker, Susan E. Ramsey, Josiah D. Rich, & Peter D. Friedmann. (2017). Mobile technology intervention to improve care coordination between HIV and substance use treatment providers: development, training, and evaluation protocol. Addiction Science & Clinical Practice. 12(1). 8–8. 9 indexed citations
17.
Claborn, Kasey, Mary Beth Miller, & Ellen Meier. (2015). Initial Validation of the HIV Treatment Regimen Fatigue Scale for Adults Prescribed Antiretroviral Therapy. Journal of the Association of Nurses in AIDS Care. 26(4). 308–315. 11 indexed citations
18.
Claborn, Kasey, Anne C. Fernandez, Tyler B. Wray, & Susan E. Ramsey. (2015). Computer-based HIV adherence promotion interventions: a systematic review. Translational Behavioral Medicine. 5(3). 294–306. 28 indexed citations
19.
Claborn, Kasey, Ellen Meier, Mary Beth Miller, & Thad R. Leffingwell. (2014). A systematic review of treatment fatigue among HIV-infected patients prescribed antiretroviral therapy. Psychology Health & Medicine. 20(3). 255–265. 111 indexed citations
20.
Leffingwell, Thad R., et al.. (2013). A computer-based feedback only intervention with and without a moderation skills component. Journal of Substance Abuse Treatment. 46(1). 22–28. 9 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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