Summer S. Han

5.6k total citations · 2 hit papers
125 papers, 3.3k citations indexed

About

Summer S. Han is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Summer S. Han has authored 125 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Pulmonary and Respiratory Medicine, 48 papers in Oncology and 18 papers in Epidemiology. Recurrent topics in Summer S. Han's work include Lung Cancer Diagnosis and Treatment (37 papers), Lung Cancer Treatments and Mutations (30 papers) and Global Cancer Incidence and Screening (19 papers). Summer S. Han is often cited by papers focused on Lung Cancer Diagnosis and Treatment (37 papers), Lung Cancer Treatments and Mutations (30 papers) and Global Cancer Incidence and Screening (19 papers). Summer S. Han collaborates with scholars based in United States, Canada and Netherlands. Summer S. Han's co-authors include Sylvia K. Plevritis, Iakovos Toumazis, Rafael Meza, Kevin ten Haaf, Jihyoun Jeon, Chung Yin Kong, Martin C. Tammemägi, Eric J. Feuer, Mehrad Bastani and Harry J. de Koning and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Summer S. Han

114 papers receiving 3.3k citations

Hit Papers

Benefits and Harms of Computed Tomography Lung Cancer Scr... 2013 2026 2017 2021 2013 2021 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
Summer S. Han United States 29 1.5k 1.2k 452 353 340 125 3.3k
Richard J. Chappell United States 30 1.5k 1.0× 671 0.6× 644 1.4× 324 0.9× 548 1.6× 108 3.8k
M. Fatih Okcu United States 38 1.6k 1.0× 723 0.6× 202 0.4× 817 2.3× 332 1.0× 148 3.8k
Myla Strawderman United States 37 1.2k 0.8× 1.1k 0.9× 199 0.4× 616 1.7× 493 1.4× 81 4.3k
Qi Liu United States 31 834 0.5× 723 0.6× 229 0.5× 623 1.8× 238 0.7× 108 4.3k
Tiina Saarto Finland 37 773 0.5× 2.6k 2.2× 580 1.3× 343 1.0× 460 1.4× 108 4.5k
Antonin Lévy France 39 1.8k 1.2× 1.8k 1.5× 602 1.3× 812 2.3× 941 2.8× 266 4.7k
James Signorovitch United States 36 1.0k 0.7× 880 0.7× 181 0.4× 1.1k 3.3× 551 1.6× 278 5.5k
Chun‐Chieh Lin Taiwan 13 634 0.4× 1.1k 1.0× 177 0.4× 765 2.2× 279 0.8× 39 2.9k
Donald A. Barkauskas United States 27 972 0.6× 1.2k 1.0× 162 0.4× 823 2.3× 220 0.6× 79 3.1k
Andrea Pace Italy 39 1.2k 0.8× 1.3k 1.1× 399 0.9× 527 1.5× 479 1.4× 170 4.7k

Countries citing papers authored by Summer S. Han

Since Specialization
Citations

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

Fields of papers citing papers by Summer S. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Summer S. Han. 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 Summer S. Han. The network helps show where Summer S. Han may publish in the future.

Co-authorship network of co-authors of Summer S. Han

This figure shows the co-authorship network connecting the top 25 collaborators of Summer S. Han. A scholar is included among the top collaborators of Summer S. Han 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 Summer S. Han. Summer S. Han 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.
Choi, Eunji, Julie Wu, Joel W. Neal, et al.. (2024). Smoking and the Risk of Second Primary Lung Cancer Among Breast Cancer Survivors from the Population-Based UK Biobank Study. Clinical Lung Cancer. 25(8). 705–711.e7. 1 indexed citations
3.
Maldaner, Nicolai, Parastou Fatemi, Christopher Leung, et al.. (2024). Determining critical monitoring periods for accurate wearable step counts in patients with degenerative spine disorders. Scientific Reports. 14(1). 19988–19988.
4.
Haaf, Kevin ten, Pianpian Cao, Jean Hai Ein Yong, et al.. (2024). The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations. Medical Decision Making. 44(5). 497–511. 2 indexed citations
5.
Huang, Robert J., Edward S. Huang, Meghan C. Martinez, et al.. (2024). Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 33(4). 547–556. 2 indexed citations
7.
Choi, Eunji, Julie Wu, Joel W. Neal, et al.. (2024). Racial and ethnic differences in second primary lung cancer risk among lung cancer survivors. JNCI Cancer Spectrum. 8(5). 1 indexed citations
8.
Choi, Eunji, Sophia J. Luo, Victoria Y. Ding, et al.. (2023). Risk model‐based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model. Cancer. 130(5). 770–780. 3 indexed citations
9.
Wu, Julie, Heather A. Wakelee, & Summer S. Han. (2023). Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers. Journal of Clinical Oncology. 41(27). 4341–4347. 17 indexed citations
10.
Wu, Julie, Victoria Y. Ding, Sophia J. Luo, et al.. (2022). Predictive Model to Guide Brain Magnetic Resonance Imaging Surveillance in Patients With Metastatic Lung Cancer: Impact on Real-World Outcomes. JCO Precision Oncology. 6(6). e2200220–e2200220. 4 indexed citations
11.
Aredo, Jacqueline V., Eunji Choi, Victoria Y. Ding, et al.. (2022). Racial and Ethnic Disparities in Lung Cancer Screening by the 2021 USPSTF Guidelines Versus Risk-Based Criteria: The Multiethnic Cohort Study. JNCI Cancer Spectrum. 6(3). 23 indexed citations
12.
Choi, Eunji, Nilotpal Sanyal, Victoria Y. Ding, et al.. (2021). Development and Validation of a Risk Prediction Model for Second Primary Lung Cancer. JNCI Journal of the National Cancer Institute. 114(1). 87–96. 13 indexed citations
13.
Aredo, Jacqueline V., Natasha Purington, Li Su, et al.. (2021). Metabolomic profiling for second primary lung cancer: A pilot case-control study. Lung Cancer. 155. 61–67. 11 indexed citations
14.
Fatemi, Parastou, Yi Zhang, Summer S. Han, et al.. (2021). External validation of a predictive model of adverse events following spine surgery. The Spine Journal. 22(1). 104–112. 5 indexed citations
15.
Choi, Eunji, Sophia J. Luo, Jacqueline V. Aredo, et al.. (2021). The Survival Impact of Second Primary Lung Cancer in Patients With Lung Cancer. JNCI Journal of the National Cancer Institute. 114(4). 618–625. 19 indexed citations
16.
Luo, Sophia J., Eunji Choi, Jacqueline V. Aredo, et al.. (2021). Smoking Cessation After Lung Cancer Diagnosis and the Risk of Second Primary Lung Cancer: The Multiethnic Cohort Study. JNCI Cancer Spectrum. 5(5). 5 indexed citations
17.
Sussman, Eric S., Santosh Gummidipundi, Arjun V. Pendharkar, et al.. (2020). Staged Surgical Resection of Brain Arteriovenous Malformations. World Neurosurgery. 146. e925–e930. 3 indexed citations
19.
Afghahi, Anosheh, Natasha Purington, Summer S. Han, et al.. (2018). Higher Absolute Lymphocyte Counts Predict Lower Mortality from Early-Stage Triple-Negative Breast Cancer. Clinical Cancer Research. 24(12). 2851–2858. 67 indexed citations
20.
Han, Summer S., Laura Y. Sue, Sonja I. Berndt, et al.. (2012). Associations between Genes in the One-Carbon Metabolism Pathway and Advanced Colorectal Adenoma Risk in Individuals with Low Folate Intake. Cancer Epidemiology Biomarkers & Prevention. 21(3). 417–427. 16 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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