Julia Lin

2.8k total citations
37 papers, 1.7k citations indexed

About

Julia Lin is a scholar working on Clinical Psychology, Social Psychology and Statistics and Probability. According to data from OpenAlex, Julia Lin has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Clinical Psychology, 9 papers in Social Psychology and 9 papers in Statistics and Probability. Recurrent topics in Julia Lin's work include Child and Adolescent Psychosocial and Emotional Development (7 papers), Advanced Causal Inference Techniques (6 papers) and Mental Health Treatment and Access (6 papers). Julia Lin is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (7 papers), Advanced Causal Inference Techniques (6 papers) and Mental Health Treatment and Access (6 papers). Julia Lin collaborates with scholars based in United States, Taiwan and Norway. Julia Lin's co-authors include Margarita Alegrı́a, Lisa R. Fortuna, Edward Wang, Benjamin Lê Cook, Jing Guo, María Torres, Michelle V. Porche, Julian Ming‐Sung Cheng, Fernando I. Rivera and Peter J. Guarnaccia and has published in prestigious journals such as Journal of the American Statistical Association, Annals of Internal Medicine and Child Development.

In The Last Decade

Julia Lin

34 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Lin United States 21 754 530 370 347 173 37 1.7k
John G. Orme United States 24 1.2k 1.6× 761 1.4× 292 0.8× 490 1.4× 212 1.2× 70 2.7k
Bridget E. Weller United States 14 529 0.7× 302 0.6× 204 0.6× 267 0.8× 192 1.1× 42 1.5k
Brittany L. Rhoades United States 11 1.1k 1.4× 248 0.5× 312 0.8× 315 0.9× 107 0.6× 13 2.1k
Megan E. Roberts United States 25 319 0.4× 365 0.7× 148 0.4× 382 1.1× 315 1.8× 98 2.6k
Terri Combs‐Orme United States 22 779 1.0× 303 0.6× 114 0.3× 378 1.1× 84 0.5× 58 1.6k
Gary King United States 25 465 0.6× 347 0.7× 145 0.4× 615 1.8× 266 1.5× 61 2.0k
Dean R. Gerstein United States 27 761 1.0× 415 0.8× 228 0.6× 699 2.0× 72 0.4× 81 2.8k
Antonio Pardo Spain 19 608 0.8× 140 0.3× 435 1.2× 393 1.1× 76 0.4× 76 2.1k
Lorraine T. Midanik United States 36 765 1.0× 740 1.4× 706 1.9× 1.7k 4.9× 415 2.4× 71 4.7k
Kira E. Riehm United States 21 845 1.1× 350 0.7× 278 0.8× 273 0.8× 237 1.4× 52 1.6k

Countries citing papers authored by Julia Lin

Since Specialization
Citations

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

Fields of papers citing papers by Julia Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Lin. A scholar is included among the top collaborators of Julia Lin 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 Lin. Julia Lin 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.
2.
Lin, Julia, et al.. (2022). The Past and Present of Breast Cancer Resources: A Re-evaluation of the Quality of Online Resources After Eight Years. Cureus. 14(8). e28120–e28120. 3 indexed citations
3.
Friedman, Sarah, Susan M. Frayne, Eric A. Berg, et al.. (2015). Travel Time and Attrition From VHA Care Among Women Veterans. Medical Care. 53(Supplement 4Suppl 1). S15–S22. 44 indexed citations
4.
Alegrı́a, Margarita, Lisa R. Fortuna, Julia Lin, et al.. (2013). Prevalence, Risk, and Correlates of Posttraumatic Stress Disorder Across Ethnic and Racial Minority Groups in the United States. Medical Care. 51(12). 1114–1123. 172 indexed citations
5.
Alegrı́a, Margarita, Debra Roter, Anne Valentine, et al.. (2013). Patient–clinician ethnic concordance and communication in mental health intake visits. Patient Education and Counseling. 93(2). 188–196. 80 indexed citations
6.
Lu, Naiji, Yu Han, Tian Chen, et al.. (2013). Power analysis for cross-sectional and longitudinal study designs.. PubMed. 25(4). 259–62. 17 indexed citations
7.
Alegrı́a, Margarita, Julia Lin, C.-S. Chen, et al.. (2012). The Impact of Insurance Coverage in Diminishing Racial and Ethnic Disparities in Behavioral Health Services. Health Services Research. 47(3pt2). 1322–1344. 58 indexed citations
8.
Alegrı́a, Margarita, Julia Lin, Jennifer Green, et al.. (2012). Role of Referrals in Mental Health Service Disparities for Racial and Ethnic Minority Youth. Journal of the American Academy of Child & Adolescent Psychiatry. 51(7). 703–711.e2. 55 indexed citations
9.
Carson, Nicholas, Mark Stewart, Julia Lin, & Margarita Alegrı́a. (2011). Use and quality of mental health services for Haitian youth. Ethnicity and Health. 16(6). 567–582. 16 indexed citations
10.
Porche, Michelle V., Lisa R. Fortuna, Julia Lin, & Margarita Alegrı́a. (2011). Childhood Trauma and Psychiatric Disorders as Correlates of School Dropout in a National Sample of Young Adults. Child Development. 82(3). 982–998. 146 indexed citations
11.
Gallop, Robert, et al.. (2009). Mediation analysis with principal stratification. Statistics in Medicine. 28(7). 1108–1130. 71 indexed citations
12.
Cook, Benjamin Lê, Margarita Alegrı́a, Julia Lin, & Jing Guo. (2009). Pathways and Correlates Connecting Latinos' Mental Health With Exposure to the United States. American Journal of Public Health. 99(12). 2247–2254. 159 indexed citations
13.
Alegrı́a, Margarita, Patrick E. Shrout, María Torres, et al.. (2009). Lessons learned from the clinical reappraisal study of the Composite International Diagnostic Interview with Latinos. International Journal of Methods in Psychiatric Research. 18(2). 84–95. 58 indexed citations
14.
Duan, Naihua, Xiao‐Li Meng, Julia Lin, Chih‐Nan Chen, & Margarita Alegrı́a. (2008). Disparities in defining disparities: Statistical conceptual frameworks. Statistics in Medicine. 27(20). 3941–3956. 35 indexed citations
15.
Alegrı́a, Margarita, Ora Nakash, Sheri Lapatin, et al.. (2008). How Missing Information in Diagnosis Can Lead to Disparities in the Clinical Encounter. Journal of Public Health Management and Practice. 14(6). S26–S35. 53 indexed citations
16.
Lin, Julia, et al.. (2008). Nested Markov Compliance Class Model in the Presence of Time‐Varying Noncompliance. Biometrics. 65(2). 505–513. 9 indexed citations
17.
Lin, Julia, et al.. (2007). Baseline patient characteristics and mortality associated with longitudinal intervention compliance. Statistics in Medicine. 26(28). 5100–5115. 5 indexed citations
18.
Bellamy, Scarlett L., et al.. (2007). An introduction to causal modeling in clinical trials. Clinical Trials. 4(1). 58–73. 44 indexed citations
19.
Lin, Julia & Diane Thompson. (2001). Treating Premenstrual Dysphoric Disorder Using Serotonin Agents. Journal of Women s Health & Gender-Based Medicine. 10(8). 745–750. 8 indexed citations
20.
Hall, Randolph W., et al.. (1994). Use of continuous approximations within discrete algorithms for routing vehicles: Experimental results and interpretation. Networks. 24(1). 43–56. 10 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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