Kimberly Page

11.8k total citations · 2 hit papers
213 papers, 8.5k citations indexed

About

Kimberly Page is a scholar working on Epidemiology, Infectious Diseases and Hepatology. According to data from OpenAlex, Kimberly Page has authored 213 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Epidemiology, 93 papers in Infectious Diseases and 69 papers in Hepatology. Recurrent topics in Kimberly Page's work include HIV, Drug Use, Sexual Risk (93 papers), HIV/AIDS Research and Interventions (83 papers) and Hepatitis C virus research (69 papers). Kimberly Page is often cited by papers focused on HIV, Drug Use, Sexual Risk (93 papers), HIV/AIDS Research and Interventions (83 papers) and Hepatitis C virus research (69 papers). Kimberly Page collaborates with scholars based in United States, Australia and Brazil. Kimberly Page's co-authors include Judith A. Hahn, Jennifer L. Evans, Dan R. Littman, Paula J. Lum, Nathaniel R. Landau, Dennis Osmond, Andrew R. Moss, Jeffrey N. Martin, Lisa Maher and Ellen Stein and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Nature Communications.

In The Last Decade

Kimberly Page

205 papers receiving 8.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sexual Transmission and the Natural History of Human Herpesvirus 8 Infection

1998 514 citations Kimberly Page et al. profile →
Relationship between T Cell Activation and CD4 ⁺ T Cell Count in HIV‐Seropositive Individuals with Undetectable Plasma HIV RNA Levels in the Absence of Therapy

2007 506 citations Kimberly Page et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kimberly Page United States	49	5.2k	3.6k	2.2k	1.7k	1.2k	213	8.5k
Noya Galai United States	45	4.3k 0.8×	3.0k 0.8×	1.8k 0.8×	981 0.6×	1.2k 1.0×	182	7.4k
Roel A. Coutinho Netherlands	53	5.3k 1.0×	5.4k 1.5×	1.7k 0.8×	3.3k 1.9×	892 0.7×	240	10.1k
Maria Prins Netherlands	53	6.0k 1.2×	4.5k 1.3×	3.6k 1.7×	1.2k 0.7×	968 0.8×	340	10.2k
Oliver Laeyendecker United States	48	4.3k 0.8×	5.9k 1.6×	1.6k 0.8×	3.5k 2.0×	704 0.6×	227	10.8k
R A Coutinho Netherlands	44	3.1k 0.6×	2.6k 0.7×	914 0.4×	1.9k 1.1×	488 0.4×	154	5.9k
Andrew R. Moss United States	53	5.0k 1.0×	6.2k 1.7×	818 0.4×	2.3k 1.3×	838 0.7×	104	10.3k
Philippe Van de Perre France	60	5.7k 1.1×	7.3k 2.0×	572 0.3×	3.2k 1.8×	823 0.7×	402	12.2k
Richard Gilson United Kingdom	46	4.4k 0.8×	3.0k 0.9×	2.4k 1.1×	1.5k 0.9×	333 0.3×	196	7.3k
Susan M. Graham United States	40	2.4k 0.5×	2.9k 0.8×	570 0.3×	1.0k 0.6×	952 0.8×	216	6.4k
Patrizia Carrieri France	46	4.2k 0.8×	4.6k 1.3×	916 0.4×	1.6k 0.9×	458 0.4×	324	8.7k

Countries citing papers authored by Kimberly Page

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly Page

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Page

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lira, Marlene C., et al.. (2025). Treating Hepatitis C Within Real-world Telemedicine Addiction Care. Journal of Addiction Medicine. 20(1). 118–120.

Erinoso, Olufemi, et al.. (2024). Safety strategies and harm reduction for methamphetamine users in the era of fentanyl contamination: A qualitative analysis. International Journal of Drug Policy. 128. 104456–104456. 2 indexed citations

Tatara, Eric, Mary Ellen Mackesy‐Amiti, Kimberly Page, et al.. (2024). Reducing Sample Size While Improving Equity in Vaccine Clinical Trials: A Machine Learning-Based Recruitment Methodology with Application to Improving Trials of Hepatitis C Virus Vaccines in People Who Inject Drugs. Healthcare. 12(6). 644–644. 5 indexed citations

Mackesy‐Amiti, Mary Ellen, Alexander Gutfraind, Eric Tatara, et al.. (2024). Modeling of randomized hepatitis C vaccine trials: Bridging the gap between controlled human infection models and real-word testing. PNAS Nexus. 4(1). pgae564–pgae564. 1 indexed citations

Mackesy‐Amiti, Mary Ellen, Basmattee Boodram, Kimberly Page, & Carl A. Latkin. (2023). Injection partnership characteristics and HCV status associations with syringe and equipment sharing among people who inject drugs. BMC Public Health. 23(1). 1191–1191. 1 indexed citations

Hettema, Jennifer E., et al.. (2023). Community health worker insights on promoting research engagement with diverse populations. Frontiers in Public Health. 10. 5 indexed citations

Murray‐Krezan, Cristina, Alex R. Dopp, Kirsten Becker, et al.. (2023). Screening for opioid use disorder and co-occurring depression and post-traumatic stress disorder in primary care in New Mexico. Addiction Science & Clinical Practice. 18(1). 6–6. 3 indexed citations

Pericot‐Valverde, Irene, Julia H. Arnsten, Paula J. Lum, et al.. (2023). Self-reported and measured adherence to hepatitis C direct-acting antiviral therapy and sustained virologic response among people who inject drugs: The HERO study. International Journal of Drug Policy. 123. 104288–104288. 3 indexed citations

Batchelder, Abigail, Moonseong Heo, Matthew C. Sullivan, et al.. (2023). Shame and stigma in association with the HCV cascade to cure among people who inject drugs. Drug and Alcohol Dependence. 253. 111013–111013. 6 indexed citations

10.

Karasz, Alison, Julia H. Arnsten, Judith Feinberg, et al.. (2023). A Video-Observed Treatment Strategy to Improve Adherence to Treatment Among Persons Who Inject Drugs Infected With Hepatitis C Virus: Qualitative Study of Stakeholder Perceptions and Experiences. Journal of Medical Internet Research. 25. e38176–e38176. 1 indexed citations

11.

Wagner, Karla D., et al.. (2023). Prevalence of fentanyl in methamphetamine and cocaine samples collected by community-based drug checking services. Drug and Alcohol Dependence. 252. 110985–110985. 45 indexed citations

12.

Kandathil, Abraham J., Andrea L. Cox, Kimberly Page, et al.. (2021). Plasma virome and the risk of blood-borne infection in persons with substance use disorder. Nature Communications. 12(1). 6909–6909. 13 indexed citations

13.

Navadeh, Soodabeh, Ali Mirzazadeh, Willi McFarland, et al.. (2020). Unsafe Injection Is Associated with Higher HIV Testing after Bayesian Adjustment for Unmeasured Confounding. Archives of Iranian Medicine. 23(12). 848–855. 1 indexed citations

14.

Page, Kimberly, et al.. (2019). Racial and ethnic disparities in surgical amputations following serious musculoskeletal infections in a diverse New Mexico cohort. Journal of Clinical and Translational Research. 5(1). 25–32. 2 indexed citations

15.

Barbosa, Carolina, Hannah Fraser, Thomas J. Hoerger, et al.. (2019). Cost‐effectiveness of scaling‐up HCV prevention and treatment in the United States for people who inject drugs. Addiction. 114(12). 2267–2278. 29 indexed citations

16.

Winter, Stuart S., et al.. (2018). Inclusion of special populations in clinical research: important considerations and guidelines. Journal of Clinical and Translational Research. 4(1). 56–69. 47 indexed citations

17.

Major, Marian, Alexander Gutfraind, Louis Shekhtman, et al.. (2018). Modeling of patient virus titers suggests that availability of a vaccine could reduce hepatitis C virus transmission among injecting drug users. Science Translational Medicine. 10(449). 35 indexed citations

18.

El–Diwany, Ramy, Lisa N. Wasilewski, Kenneth W. Witwer, et al.. (2015). Acute Hepatitis C Virus Infection Induces Consistent Changes in Circulating MicroRNAs That Are Associated with Nonlytic Hepatocyte Release. Journal of Virology. 89(18). 9454–9464. 17 indexed citations

19.

Ribeiro, José Mendes, et al.. (2014). Politicas de reducao de danos no Brasil: contribuicoes de um programa norte-americano. SHILAP Revista de lepidopterología. 5 indexed citations

20.

Lang, William, et al.. (1993). Population-based estimates of antiretroviral therapy and anti-Pneumocystis prophylaxis in San Francisco: 1991.. PubMed. 6(2). 191–5. 8 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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