Julia H. Arnsten

10.5k total citations · 1 hit paper
181 papers, 7.7k citations indexed

About

Julia H. Arnsten is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Julia H. Arnsten has authored 181 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Epidemiology, 80 papers in Infectious Diseases and 38 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Julia H. Arnsten's work include HIV/AIDS Research and Interventions (70 papers), HIV, Drug Use, Sexual Risk (59 papers) and Substance Abuse Treatment and Outcomes (29 papers). Julia H. Arnsten is often cited by papers focused on HIV/AIDS Research and Interventions (70 papers), HIV, Drug Use, Sexual Risk (59 papers) and Substance Abuse Treatment and Outcomes (29 papers). Julia H. Arnsten collaborates with scholars based in United States, France and United Kingdom. Julia H. Arnsten's co-authors include Andrea A. Howard, Marc N. Gourevitch, Ellie E. Schoenbaum, Karina M. Berg, Penelope Demas, Shadi Nahvi, Homayoon Farzadegan, Richard W. Grant, Alain H. Litwin and Yungtai Lo and has published in prestigious journals such as Blood, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Julia H. Arnsten

169 papers receiving 7.5k 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.

Antiretroviral Therapy Adherence and Viral Suppression in HIV‐Infected Drug Users: Comparison of Self‐Report and Electronic Monitoring

2001 527 citations Julia H. Arnsten et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia H. Arnsten United States	47	3.5k	3.0k	1.4k	1.4k	1.1k	181	7.7k
Marc N. Gourevitch United States	47	2.8k 0.8×	3.7k 1.2×	1.5k 1.0×	771 0.6×	791 0.7×	153	6.8k
Heidi M. Crane United States	40	3.4k 1.0×	2.2k 0.7×	1.0k 0.7×	1.9k 1.4×	1.1k 0.9×	227	6.5k
Allen L. Gifford United States	46	5.1k 1.4×	3.1k 1.0×	2.4k 1.7×	1.3k 1.0×	1.2k 1.1×	175	8.0k
Joseph Conigliaro United States	40	1.5k 0.4×	2.0k 0.6×	1.4k 1.0×	822 0.6×	366 0.3×	102	5.2k
Melissa Skanderson United States	35	1.3k 0.4×	1.6k 0.5×	535 0.4×	1.2k 0.9×	398 0.3×	139	4.3k
Andrea A. Howard United States	32	3.0k 0.8×	1.9k 0.6×	785 0.6×	1.2k 0.9×	1.1k 0.9×	88	4.6k
David A. Fiellin United States	66	2.7k 0.8×	8.2k 2.7×	2.9k 2.0×	1.9k 1.4×	484 0.4×	378	15.2k
Richard Saitz United States	57	1.2k 0.3×	5.7k 1.9×	3.6k 2.5×	804 0.6×	247 0.2×	274	10.4k
Kevin L. Kraemer United States	37	800 0.2×	2.0k 0.7×	1.3k 0.9×	611 0.4×	204 0.2×	110	4.1k
Adam J. Gordon United States	47	1.0k 0.3×	3.7k 1.2×	2.1k 1.4×	930 0.7×	232 0.2×	322	7.4k

Countries citing papers authored by Julia H. Arnsten

Since Specialization

Citations

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

Fields of papers citing papers by Julia H. Arnsten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia H. Arnsten. 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 Julia H. Arnsten. The network helps show where Julia H. Arnsten may publish in the future.

Co-authorship network of co-authors of Julia H. Arnsten

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

All Works

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20 of 20 papers shown

Chavez, Laura J., Onchee Yu, Paige D. Wartko, et al.. (2025). Opioid Use Disorder Medications Among Youth in Primary Care: Subgroup Analysis of the PROUD Trial. PubMed. 1(2). 1–10.

Weinstein, Zoe, Onchee Yu, Paige D. Wartko, et al.. (2024). Does implementation of office based addiction treatment by a nurse care manager increase the duration of OUD treatment in primary care? A secondary analysis of the PROUD randomized control trial. Drug and Alcohol Dependence. 265. 112497–112497.

Pericot‐Valverde, Irene, Moonseong Heo, Brianna L. Norton, et al.. (2024). Distrust in the Health Care System and Adherence to Direct-Acting Antiviral Therapy among People with Hepatitis C Virus Who Inject Drugs. Viruses. 16(8). 1304–1304.

Rawat, Shruta, Sarit A. Golub, Ryung S. Kim, et al.. (2024). The CHALO! 2.0 mHealth-Based Multilevel Intervention to Promote HIV Testing and Linkage-to-Care Among Men Who Have Sex with Men in Mumbai, India: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 13. e59873–e59873.

Tsui, Judith I., Moonseong Heo, Julia H. Arnsten, et al.. (2024). Current Self-reported Pain Before and After Cure of Hepatitis C Among Persons Who Actively Inject Drugs. Journal of Addiction Medicine. 19(3). 248–253.

Lapham, Gwen T., Noorie Hyun, Jennifer F. Bobb, et al.. (2024). Nurse Care Management of Opioid Use Disorder Treatment After 3 Years. JAMA Network Open. 7(11). e2447447–e2447447. 3 indexed citations

Karasz, Alison, et al.. (2023). Individual and Health System Factors for Uptake of Pre-exposure Prophylaxis Among Young Black and Latino Gay Men. Journal of General Internal Medicine. 38(12). 2768–2774. 8 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

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

10.

López‐Castro, Teresa, Andrea Jakubowski, Amanda J. Pierz, et al.. (2023). Loss, liberation, and agency: Patient experiences of methadone treatment at opioid treatment programs during the COVID-19 pandemic. Journal of Substance Use and Addiction Treatment. 157. 209235–209235.

11.

Pericot‐Valverde, Irene, Moonseong Heo, Lior Rennert, et al.. (2022). Relationship between depressive symptoms and adherence to direct-acting antivirals: Implications for Hepatitis C treatment among people who inject drugs on medications for opioid use disorder. Drug and Alcohol Dependence. 234. 109403–109403. 4 indexed citations

12.

Akiyama, Matthew J., et al.. (2021). HIV And HCV adherence and treatment outcomes among people who inject drugs receiving opioid agonist therapy. AIDS Care. 34(10). 1229–1233. 2 indexed citations

13.

Cunningham, Chinazo O., Joanna L. Starrels, Chenshu Zhang, et al.. (2020). Medical Marijuana and Opioids (MEMO) Study: protocol of a longitudinal cohort study to examine if medical cannabis reduces opioid use among adults with chronic pain. BMJ Open. 10(12). e043400–e043400. 7 indexed citations

14.

Arnsten, Julia H., et al.. (2019). Development and evaluation of a clinical reasoning curriculum as part of an Internal Medicine Residency Program. Diagnosis. 6(2). 115–119. 10 indexed citations

15.

Patel, Viraj V., Sarit A. Golub, Keith J. Horvath, et al.. (2018). Empowering With PrEP (E-PrEP), a Peer-Led Social Media–Based Intervention to Facilitate HIV Preexposure Prophylaxis Adoption Among Young Black and Latinx Gay and Bisexual Men: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols. 7(8). e11375–e11375. 63 indexed citations

16.

Starrels, Joanna L., et al.. (2018). Clinical Characteristics and Health Care Utilization Patterns of Sickle Cell Disease Patients Using Marijuana. Blood. 132(Supplement 1). 3669–3669. 1 indexed citations

17.

Nahvi, Shadi, et al.. (2015). “Hepatitis C treatment turned me around:” Psychological and behavioral transformation related to hepatitis C treatment. Drug and Alcohol Dependence. 153. 66–71. 55 indexed citations

18.

Wilson, Ira B., David R. Bangsberg, Jie Shen, et al.. (2013). Heterogeneity Among Studies in Rates of Decline of Antiretroviral Therapy Adherence Over Time. JAIDS Journal of Acquired Immune Deficiency Syndromes. 64(5). 448–454. 39 indexed citations

19.

Southern, William N., Eran Bellin, & Julia H. Arnsten. (2011). Longer Lengths of Stay and Higher Risk of Mortality among Inpatients of Physicians with More Years in Practice. The American Journal of Medicine. 124(9). 868–874. 42 indexed citations

20.

Gardner, Lytt I., Scott D. Holmberg, Janet Moore, et al.. (2002). Use of Highly Active Antiretroviral Therapy in HIV-Infected Women: Impact of HIV Specialist Care. JAIDS Journal of Acquired Immune Deficiency Syndromes. 29(1). 69–75. 17 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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