Jane J. Kim

12.0k total citations · 2 hit papers
133 papers, 6.1k citations indexed

About

Jane J. Kim is a scholar working on Epidemiology, Oncology and Surgery. According to data from OpenAlex, Jane J. Kim has authored 133 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Epidemiology, 75 papers in Oncology and 43 papers in Surgery. Recurrent topics in Jane J. Kim's work include Cervical Cancer and HPV Research (113 papers), Global Cancer Incidence and Screening (71 papers) and Hepatitis B Virus Studies (39 papers). Jane J. Kim is often cited by papers focused on Cervical Cancer and HPV Research (113 papers), Global Cancer Incidence and Screening (71 papers) and Hepatitis B Virus Studies (39 papers). Jane J. Kim collaborates with scholars based in United States, Norway and United Kingdom. Jane J. Kim's co-authors include Sue J. Goldie, Emily A. Burger, Stephen Sy, Nicole G. Campos, Philip E. Castle, Thomas C. Wright, S. J. Goldie, Mireia Díaz, Mona Saraiya and Catherine Regan and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

Jane J. Kim

130 papers receiving 5.9k 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.

2019 ASCCP Risk-Based Management Consensus Guidelines for Abnormal Cervical Cancer Screening Tests and Cancer Precursors

2020 737 citations Philip E. Castle, Jane J. Kim et al. profile →
Cervical cancer screening for individuals at average risk: 2020 guideline update from the American Cancer Society

2020 606 citations Elizabeth T. H. Fontham, Andrew M. D. Wolf et al. CA A Cancer Journal for Clinicians profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jane J. Kim United States	41	5.0k	2.4k	1.7k	659	609	133	6.1k
Diane M. Harper United States	31	5.4k 1.1×	2.7k 1.1×	2.4k 1.5×	308 0.5×	598 1.0×	136	8.8k
Shalini Kulasingam United States	34	5.0k 1.0×	2.1k 0.9×	2.0k 1.2×	1.1k 1.6×	256 0.4×	122	6.5k
Richard Muwonge France	38	4.2k 0.8×	2.8k 1.2×	1.1k 0.7×	487 0.7×	180 0.3×	125	6.2k
Lynette Denny South Africa	33	3.1k 0.6×	1.7k 0.7×	1.0k 0.6×	813 1.2×	217 0.4×	93	4.7k
José Jerónimo United States	42	5.9k 1.2×	2.3k 1.0×	2.1k 1.3×	753 1.1×	226 0.4×	154	7.2k
K. Miriam Elfström Sweden	25	2.9k 0.6×	1.3k 0.5×	1.0k 0.6×	476 0.7×	202 0.3×	75	3.7k
Fanghui Zhao China	34	4.2k 0.8×	1.6k 0.7×	1.4k 0.8×	492 0.7×	378 0.6×	246	5.2k
Rebecca B. Perkins United States	36	3.2k 0.6×	1.1k 0.5×	973 0.6×	563 0.9×	1.1k 1.7×	167	4.5k
Groesbeck P. Parham United States	40	2.3k 0.5×	2.3k 1.0×	721 0.4×	702 1.1×	168 0.3×	160	4.8k
Julia Brotherton Australia	47	6.1k 1.2×	1.5k 0.6×	2.0k 1.2×	267 0.4×	1.3k 2.2×	225	7.2k

Countries citing papers authored by Jane J. Kim

Since Specialization

Citations

This map shows the geographic impact of Jane 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 Jane 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 Jane J. Kim more than expected).

Fields of papers citing papers by Jane J. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jane J. Kim. A scholar is included among the top collaborators of Jane 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 Jane J. Kim. Jane J. Kim 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

Hardie, Joseph, Sungwan Kim, Zhimin Yin, et al.. (2025). Automated, Deep Learning‐Enabled Immunoassay Microfluidic Cartridge for Viral Pathogen Detection. Advanced Materials Technologies. 10(16). 1 indexed citations

Cremer, Miriam, Karla Alfaro, Montserrat Soler, et al.. (2025). Comparison of CO2-based cryotherapy, non-gas-based cryotherapy, and thermal ablation for cervical intraepithelial neoplasia grade 2 and 3: a randomised, controlled, phase 3 non-inferiority trial. 1(4). e281–e290.

Brisson, Marc, Jean‐François Laprise, Mélanie Drolet, et al.. (2024). Population-level impact of switching to 1-dose human papillomavirus vaccination in high-income countries: examining uncertainties using mathematical modeling. JNCI Monographs. 2024(67). 387–399.

Burger, Emily A., Allison Portnoy, Jennifer C. Spencer, et al.. (2024). Population-level health impact of hypothetical waning 1-dose human papillomavirus vaccination and 2-dose mitigation strategies in a high cervical cancer burden setting. JNCI Monographs. 2024(67). 379–386. 1 indexed citations

Knudsen, Amy B., Amy Trentham‐Dietz, Jane J. Kim, et al.. (2023). Estimated US Cancer Deaths Prevented With Increased Use of Lung, Colorectal, Breast, and Cervical Cancer Screening. JAMA Network Open. 6(11). e2344698–e2344698. 24 indexed citations

Portnoy, Allison, Kine Pedersen, Stephen Sy, et al.. (2023). Cost‐effectiveness of primary human papillomavirus triage approaches among vaccinated women in Norway: A model‐based analysis. International Journal of Cancer. 154(6). 1073–1081. 2 indexed citations

Landy, Rebecca, Gregory Haber, Barry I. Graubard, et al.. (2023). Upper age limits for US male human papillomavirus vaccination for oropharyngeal cancer prevention: a microsimulation-based modeling study. JNCI Journal of the National Cancer Institute. 115(4). 429–436. 4 indexed citations

Adebamowo, Sally N., Brian Befano, Li C. Cheung, et al.. (2022). Different human papillomavirus types share early natural history transitions in immunocompetent women. International Journal of Cancer. 151(6). 920–929. 3 indexed citations

Portnoy, Allison, Kaja Abbas, Steven Sweet, Jane J. Kim, & Mark Jit. (2021). Projections of human papillomavirus (HPV) vaccination impact in Ethiopia, India, Nigeria and Pakistan: a comparative modelling study. BMJ Global Health. 6(11). e006940–e006940. 12 indexed citations

10.

Uy, Jhanna, et al.. (2021). Cost-utility analysis of heart surgeries for young adults with severe rheumatic mitral valve disease in India. International Journal of Cardiology. 338. 50–57. 5 indexed citations

11.

Fontham, Elizabeth T. H., Andrew M. D. Wolf, Timothy R. Church, et al.. (2020). Cervical cancer screening for individuals at average risk: 2020 guideline update from the American Cancer Society. CA A Cancer Journal for Clinicians. 70(5). 321–346. 606 indexed citations breakdown →

12.

Kamineni, Aruna, Jasmin A. Tiro, Elisabeth F. Beaber, et al.. (2018). Cervical cancer screening research in the PROSPR I consortium: Rationale, methods and baseline findings from a US cohort. International Journal of Cancer. 144(6). 1460–1473. 22 indexed citations

13.

Mezei, Alex, Heather Pedersen, Stephen Sy, et al.. (2018). Community-based HPV self-collection versus visual inspection with acetic acid in Uganda: a cost-effectiveness analysis of the ASPIRE trial. BMJ Open. 8(6). e020484–e020484. 38 indexed citations

14.

Pedersen, Kine, Emily A. Burger, Mari Nygård, Ivar S. Kristiansen, & Jane J. Kim. (2018). Adapting cervical cancer screening for women vaccinated against human papillomavirus infections: The value of stratifying guidelines. European Journal of Cancer. 91. 68–75. 50 indexed citations

15.

Campos, Nicole G., José Jerónimo, Vivien Tsu, et al.. (2017). The Cost-Effectiveness of Visual Triage of Human Papillomavirus–Positive Women in Three Low- and Middle-Income Countries. Cancer Epidemiology Biomarkers & Prevention. 26(10). 1500–1510. 14 indexed citations

16.

Jerónimo, José, Philip E. Castle, Sarah Temin, et al.. (2017). Secondary Prevention of Cervical Cancer: ASCO Resource-Stratified Clinical Practice Guideline. Obstetrical & Gynecological Survey. 72(5). 280–282. 2 indexed citations

17.

Campos, Nicole G., Mercy Mvundura, José Jerónimo, et al.. (2017). Cost-effectiveness of HPV-based cervical cancer screening in the public health system in Nicaragua. BMJ Open. 7(6). e015048–e015048. 26 indexed citations

18.

Burger, Emily A., Stephen Sy, Mari Nygård, & Jane J. Kim. (2016). The Cost-Effectiveness of Cervical Self-Sampling to Improve Routine Cervical Cancer Screening: The Importance of Respondent Screening History and Compliance. Cancer Epidemiology Biomarkers & Prevention. 26(1). 95–103. 25 indexed citations

19.

Berkhof, Johannes, et al.. (2013). Cost-Effectiveness of Cervical Cancer Prevention in Central and Eastern Europe and Central Asia. Vaccine. 31. H71–H79. 21 indexed citations

20.

Kim, Jane J.. (2002). Cost-effectiveness of Alternative Triage Strategies for Atypical Squamous Cells of Undetermined Significance. JAMA. 287(18). 2382–2382. 211 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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