Sage J. Kim

901 total citations · 1 hit paper
35 papers, 570 citations indexed

About

Sage J. Kim is a scholar working on Oncology, General Health Professions and Health. According to data from OpenAlex, Sage J. Kim has authored 35 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in General Health Professions and 12 papers in Health. Recurrent topics in Sage J. Kim's work include Global Cancer Incidence and Screening (9 papers), Health disparities and outcomes (9 papers) and COVID-19 and healthcare impacts (5 papers). Sage J. Kim is often cited by papers focused on Global Cancer Incidence and Screening (9 papers), Health disparities and outcomes (9 papers) and COVID-19 and healthcare impacts (5 papers). Sage J. Kim collaborates with scholars based in United States, Thailand and Japan. Sage J. Kim's co-authors include Wendy Bostwick, Caryn E. Peterson, Elizabeth A. Calhoun, Yamilé Molina, Karriem S. Watson, Abigail Goben, Richard B. Warnecke, Heather Pauls, Abigail Silva and J. Andrew Dykens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Social Science & Medicine.

In The Last Decade

Sage J. Kim

27 papers receiving 553 citations

Hit Papers

Social Vulnerability and ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sage J. Kim United States 9 161 137 132 120 107 35 570
Merlin Chowkwanyun United States 9 210 1.3× 150 1.1× 103 0.8× 91 0.8× 146 1.4× 24 715
Oluwaseyi Olulana United States 3 103 0.6× 125 0.9× 131 1.0× 79 0.7× 125 1.2× 3 480
Benedetta Armocida Italy 9 119 0.7× 72 0.5× 119 0.9× 91 0.8× 158 1.5× 24 640
Matthew Raifman United States 6 139 0.9× 131 1.0× 108 0.8× 70 0.6× 169 1.6× 8 513
Niels Michalski Germany 11 124 0.8× 138 1.0× 131 1.0× 48 0.4× 156 1.5× 31 456
Leonardo Villani Italy 13 169 1.0× 201 1.5× 108 0.8× 86 0.7× 197 1.8× 43 821
Marissa B Reitsma United States 12 117 0.7× 123 0.9× 129 1.0× 77 0.6× 95 0.9× 20 851
Beatriz Rache Brazil 6 111 0.7× 74 0.5× 144 1.1× 59 0.5× 86 0.8× 7 484
Alicia R. Riley United States 13 250 1.6× 270 2.0× 140 1.1× 168 1.4× 181 1.7× 34 748
Benjamin Wachtler Germany 13 195 1.2× 137 1.0× 133 1.0× 44 0.4× 179 1.7× 43 521

Countries citing papers authored by Sage J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sage J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sage J. Kim. 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 Sage J. Kim. The network helps show where Sage J. Kim may publish in the future.

Co-authorship network of co-authors of Sage J. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sage J. Kim. A scholar is included among the top collaborators of Sage J. Kim 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 Sage J. Kim. Sage J. Kim 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.
Kim, Sage J., et al.. (2025). Neighborhood violence, hair cortisol, and perceived stress among Black men living in a large urban city. Psychoneuroendocrinology. 178. 107478–107478.
3.
Kim, Sage J., et al.. (2025). State law at the intersection of lung cancer screening guidelines and social determinants of health. Journal of Cancer Policy. 43. 100561–100561.
4.
Matthews, Alicia K., et al.. (2024). Exploration of experiences and attitudes associated with lung health promotion among Black males with a history of smoking. SHILAP Revista de lepidopterología. 20(1). 20–20. 1 indexed citations
5.
Kim, Sage J., et al.. (2024). Predicting Prenatal Depression and Assessing Model Bias Using Machine Learning Models. Biological Psychiatry Global Open Science. 4(6). 100376–100376. 7 indexed citations
6.
McGee, Hannah, Aiman Soliman, Abeer M. Mahmoud, et al.. (2024). The Effect of Exposure to Neighborhood Violence on Glucocorticoid Receptor Signaling in Lung Tumors. Cancer Research Communications. 4(7). 1643–1654.
7.
Fantuzzi, Giamila, et al.. (2024). Sarcopenia Identification Using Alternative Vertebral Landmarks in Individuals with Lung Cancer. SHILAP Revista de lepidopterología. 3(2). 121–132. 1 indexed citations
8.
Bendinskas, Kestutis, et al.. (2024). Bridging the Gap: Engaging Black Men in Lung Cancer Research Through Barbershop Collaboration. American Journal of Men s Health. 18(1). 1 indexed citations
9.
Kim, Sage J., et al.. (2023). COVID-19 Vaccine Policy Implementation and Differential Vaccine Uptake Trajectories in Chicago Communities. Journal of Public Health Management and Practice. 30(1). E21–E30. 2 indexed citations
10.
Kim, Sage J., et al.. (2023). The association between neighborhood conditions and weight loss among older adults living in a large urban city. Journal of Behavioral Medicine. 46(5). 882–889. 2 indexed citations
12.
Nguyen, Diana, Niranjan S. Karnik, R.V. Paul Chan, et al.. (2023). Barriers and Facilitators to Ophthalmology Visit Adherence in an Urban Hospital Setting. Translational Vision Science & Technology. 12(10). 11–11. 2 indexed citations
13.
Kim, Sage J., et al.. (2023). Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago. Social Science & Medicine. 340. 116448–116448. 5 indexed citations
14.
Hoover, Shelley, et al.. (2022). Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths. Frontiers in Public Health. 10. 953198–953198. 4 indexed citations
15.
Chang, Arthur, Nita Valikodath, Emily Cole, et al.. (2021). Assessment of a novel ophthalmology tele-triage system during the COVID-19 pandemic. BMC Ophthalmology. 21(1). 346–346. 4 indexed citations
16.
Kim, Sage J. & Caryn E. Peterson. (2020). The health effects of gendered and devalued work: health outcomes of incarcerated women engaging in sex work and care/service work. Health & Justice. 8(1). 23–23. 7 indexed citations
17.
Kim, Sage J., et al.. (2020). The Uneven Distribution of Medically Underserved Areas in Chicago. Health Equity. 4(1). 556–564. 10 indexed citations
18.
Kim, Sage J., Jesús Ramírez-Valles, Karriem S. Watson, et al.. (2019). Fostering health equity research: Development and implementation of the Center for Health Equity Research (CHER) Chicago. SHILAP Revista de lepidopterología. 4(1). 53–60. 4 indexed citations
19.
Molina, Yamilé, Sage J. Kim, Julie S. Darnell, et al.. (2018). Patient Navigation Improves Subsequent Breast Cancer Screening After a Noncancerous Result: Evidence from the Patient Navigation in Medically Underserved Areas Study. Journal of Women s Health. 27(3). 317–323. 19 indexed citations
20.
Molina, Yamilé, Sage J. Kim, Heather Pauls, et al.. (2016). Patient Navigation in Medically Underserved Areas study design: A trial with implications for efficacy, effect modification, and full continuum assessment. Contemporary Clinical Trials. 53. 29–35. 15 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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