Samuel Seery

2.0k total citations
70 papers, 958 citations indexed

About

Samuel Seery is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Samuel Seery has authored 70 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 17 papers in Epidemiology and 16 papers in Oncology. Recurrent topics in Samuel Seery's work include Bladder and Urothelial Cancer Treatments (12 papers), Cervical Cancer and HPV Research (11 papers) and Urinary and Genital Oncology Studies (11 papers). Samuel Seery is often cited by papers focused on Bladder and Urothelial Cancer Treatments (12 papers), Cervical Cancer and HPV Research (11 papers) and Urinary and Genital Oncology Studies (11 papers). Samuel Seery collaborates with scholars based in China, United Kingdom and United States. Samuel Seery's co-authors include Peng Xue, You‐Lin Qiao, Yu Jiang, Mingyang Chen, Maria José González, Jianzhen Lin, Xiaobo Yang, Dongxu Wang, Haitao Zhao and Yi Bai and has published in prestigious journals such as Blood, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Samuel Seery

64 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Seery China 17 296 218 198 174 138 70 958
Ilse Vejborg Denmark 24 950 3.2× 414 1.9× 116 0.6× 149 0.9× 295 2.1× 68 1.5k
Ilse Vejborg Denmark 23 531 1.8× 285 1.3× 123 0.6× 305 1.8× 324 2.3× 52 1.3k
Mathijs P. Hendriks Netherlands 15 609 2.1× 211 1.0× 35 0.2× 408 2.3× 164 1.2× 69 1.1k
Sami‐Ramzi Leyh‐Bannurah Germany 18 175 0.6× 972 4.5× 84 0.4× 241 1.4× 292 2.1× 76 1.2k
Shalini Moningi United States 14 451 1.5× 266 1.2× 117 0.6× 136 0.8× 127 0.9× 48 828
Philip C. Müller Switzerland 18 455 1.5× 308 1.4× 108 0.5× 649 3.7× 94 0.7× 95 1.0k
Maximilian C. Kriegmair Germany 22 227 0.8× 878 4.0× 59 0.3× 601 3.5× 170 1.2× 153 1.6k
Yüksel Ürün Türkiye 17 483 1.6× 334 1.5× 70 0.4× 407 2.3× 71 0.5× 136 1.1k
Chan Wha Lee South Korea 14 276 0.9× 452 2.1× 69 0.3× 305 1.8× 159 1.2× 22 858
Mona Kamal United States 19 310 1.0× 279 1.3× 48 0.2× 173 1.0× 218 1.6× 55 896

Countries citing papers authored by Samuel Seery

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Seery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Seery

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Seery. A scholar is included among the top collaborators of Samuel Seery 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 Samuel Seery. Samuel Seery 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.
Pan, Jing, Liping Zhao, Samuel Seery, et al.. (2025). Donor-derived CD7 CAR T cells for pediatric and adult relapsed/refractory T-ALL/LBL: a phase 2 trial. Blood. 146(23). 2745–2757. 1 indexed citations
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Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence. Modern Pathology. 36(8). 100186–100186. 16 indexed citations
4.
Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Assessing artificial intelligence enabled liquid‐based cytology for triaging HPV‐positive women: a population‐based cross‐sectional study. Acta Obstetricia Et Gynecologica Scandinavica. 102(8). 1026–1033. 11 indexed citations
5.
Li, Yiling, Kexin Li, Xiaoying Lou, et al.. (2023). HNRNPA2B1-Mediated MicroRNA-92a Upregulation and Section Acts as a Promising Noninvasive Diagnostic Biomarker in Colorectal Cancer. Cancers. 15(4). 1367–1367. 4 indexed citations
6.
Xue, Peng, et al.. (2022). Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis. npj Digital Medicine. 5(1). 19–19. 80 indexed citations
7.
Zheng, Yitian, Qi Yu, Samuel Seery, et al.. (2022). Elevated HsCRP in Chronic Obstructive Pulmonary Disease: A Prospective Study of Long-Term Outcomes After Percutaneous Coronary Intervention. International Journal of COPD. Volume 17. 2517–2528.
8.
Chen, Mingyang, Samuel Seery, Maria José González, et al.. (2022). Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Frontiers in Medicine. 9. 990604–990604. 125 indexed citations
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Zheng, Yitian, Yu Qi, Samuel Seery, et al.. (2022). Long-Term Outcomes for Chinese COPD Patients After PCI: A Propensity Score Matched, Double-Cohort Study. Frontiers in Cardiovascular Medicine. 9. 827635–827635. 1 indexed citations
11.
Fu, Xuan, Xue Lin, Samuel Seery, et al.. (2022). Speckle-tracking echocardiography for detecting myocardial dysfunction in sepsis and septic shock patients: A single emergency department study. World Journal of Emergency Medicine. 13(3). 175–175. 3 indexed citations
12.
Liu, Lihui, Hua Bai, Chao Wang, et al.. (2021). Efficacy and Safety of First-Line Immunotherapy Combinations for Advanced NSCLC: A Systematic Review and Network Meta-Analysis. Journal of Thoracic Oncology. 16(7). 1099–1117. 92 indexed citations
13.
Liu, Jie, Leilei Wu, Samuel Seery, et al.. (2021). 18F-RGD PET/CT and Systemic Inflammatory Biomarkers Predict Outcomes of Patients With Advanced NSCLC Receiving Combined Antiangiogenic Treatment. Frontiers in Oncology. 11. 671912–671912. 6 indexed citations
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Lai, Shicong, et al.. (2020). Comparing different kidney stone scoring systems for predicting percutaneous nephrolithotomy outcomes: A multicenter study. European Urology Open Science. 19. e1024–e1025.
16.
Fu, Yangyang, Lu Yin, Samuel Seery, et al.. (2020). Pulse rate as an alternative, real-time feedback indicator for chest compression rate: a porcine model of cardiac arrest. Journal of Clinical Monitoring and Computing. 35(5). 1159–1167.
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Lai, Shicong, Binbin Jiao, Zhaoqiang Jiang, et al.. (2020). Comparing different kidney stone scoring systems for predicting percutaneous nephrolithotomy outcomes: A multicenter retrospective cohort study. International Journal of Surgery. 81. 55–60. 13 indexed citations
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Li, Bingqi, Jun Lü, Samuel Seery, & Junchao Guo. (2018). Epidermoid cyst in intrapancreatic accessory spleen: A systematic review. Pancreatology. 19(1). 10–16. 14 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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