Jeffry Simko

45.4k total citations · 2 hit papers
107 papers, 4.2k citations indexed

About

Jeffry Simko is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jeffry Simko has authored 107 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Molecular Biology. Recurrent topics in Jeffry Simko's work include Prostate Cancer Diagnosis and Treatment (52 papers), Prostate Cancer Treatment and Research (51 papers) and Urologic and reproductive health conditions (17 papers). Jeffry Simko is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (52 papers), Prostate Cancer Treatment and Research (51 papers) and Urologic and reproductive health conditions (17 papers). Jeffry Simko collaborates with scholars based in United States, Canada and Germany. Jeffry Simko's co-authors include Peter R. Carroll, Janet E. Cowan, Matthew R. Cooperberg, John Kurhanewicz, Katsuto Shinohara, June M. Chan, Thomas M. Wheeler, Mark G. Swanson, Kayvan R. Keshari and Z. Laura Tabatabai and has published in prestigious journals such as Journal of Clinical Oncology, Applied Physics Letters and PLoS ONE.

In The Last Decade

Jeffry Simko

104 papers receiving 4.1k 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.

A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling

2014 447 citations Matthew R. Cooperberg, Jeffry Simko et al. profile →
The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma

2020 388 citations Jeffry Simko, Thomas M. Wheeler et al. The American Journal of Surgical Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffry Simko United States	31	2.5k	1.2k	1.1k	726	533	107	4.2k
Dinesh Rakheja United States	42	1.3k 0.5×	2.9k 2.6×	1.3k 1.2×	531 0.7×	707 1.3×	188	6.0k
Theo M. de Reijke Netherlands	40	3.7k 1.5×	1.3k 1.2×	861 0.8×	631 0.9×	969 1.8×	189	7.5k
Chris H. Bangma Netherlands	34	2.7k 1.1×	1.3k 1.1×	748 0.7×	584 0.8×	341 0.6×	99	4.4k
Scott Williams Australia	41	4.7k 1.9×	575 0.5×	658 0.6×	2.3k 3.2×	1.2k 2.3×	164	6.5k
Geert J.L.H. van Leenders Netherlands	44	4.0k 1.6×	1.4k 1.2×	907 0.9×	1.1k 1.5×	929 1.7×	186	6.2k
Grant D. Stewart United Kingdom	35	2.2k 0.9×	1.8k 1.6×	917 0.9×	445 0.6×	813 1.5×	225	4.7k
Wolfgang Horninger Austria	47	4.8k 1.9×	1.2k 1.0×	655 0.6×	1.4k 1.9×	901 1.7×	256	7.1k
Philipp A. Schnabel Germany	41	2.6k 1.0×	1.6k 1.4×	762 0.7×	694 1.0×	1.7k 3.1×	157	5.5k
Ashley E. Ross United States	46	4.8k 1.9×	1.4k 1.2×	1.5k 1.4×	1.1k 1.5×	1.3k 2.4×	255	6.5k
Andreas Erbersdobler Germany	50	4.3k 1.7×	2.2k 1.9×	1.8k 1.7×	742 1.0×	1.3k 2.5×	226	7.6k

Countries citing papers authored by Jeffry Simko

Since Specialization

Citations

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

Fields of papers citing papers by Jeffry Simko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffry Simko

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffry Simko. A scholar is included among the top collaborators of Jeffry Simko 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 Jeffry Simko. Jeffry Simko 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

Shee, Kevin, Janet E. Cowan, Chien‐Kuang Cornelia Ding, et al.. (2025). Gleason Grade Group 3 Represents a Spectrum of Disease: Results from a Large Institutional Cohort. European Urology Focus. 12(1). 61–69. 2 indexed citations

Zhao, Shuang, Hyunnam Ryu, J. Proudfoot, et al.. (2025). Gene signature predictor of dose-response to prostate radiation: Validation of PORTOS in phase III trials.. Journal of Clinical Oncology. 43(5_suppl). 308–308. 2 indexed citations

Tward, Jonathan D., Huei–Chung Huang, Andre Esteva, et al.. (2024). Prostate Cancer Risk Stratification in NRG Oncology Phase III Randomized Trials Using Multimodal Deep Learning With Digital Histopathology. JCO Precision Oncology. 8(8). e2400145–e2400145. 5 indexed citations

Westphalen, Antonio C., Jeffry Simko, Hao G. Nguyen, et al.. (2024). Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI. IEEE Transactions on Medical Imaging. 43(7). 2610–2622.

Greenland, Nancy, Janet E. Cowan, Bradley A. Stohr, et al.. (2023). Large cribriform glands (> 0.25 mm diameter) as a predictor of adverse pathology in men with Grade Group 2 prostate cancer. Histopathology. 84(4). 614–623. 5 indexed citations

Simko, Jeffry, et al.. (2023). Prostate cancer lesion detection, volume quantification and high-grade cancer differentiation using cancer risk maps derived from multiparametric MRI with histopathology as the reference standard. Magnetic Resonance Imaging. 99. 48–57. 7 indexed citations

Greenland, Nancy, Matthew R. Cooperberg, Anthony Wong, et al.. (2021). Molecular risk classifier score and biochemical recurrence risk are associated with cribriform pattern type in Gleason 3+4=7 prostate cancer. Investigative and Clinical Urology. 63(1). 27–27. 10 indexed citations

Prip, Frederik, Brent T. Harris, David A. Solomon, et al.. (2018). STAG2 Is a Biomarker for Prediction of Recurrence and Progression in Papillary Non–Muscle-Invasive Bladder Cancer. Clinical Cancer Research. 24(17). 4145–4153. 24 indexed citations

Hagihara, Katsunobu, Li Zhang, David Y. Oh, et al.. (2018). Neoadjuvant sipuleucel-T induces both Th1 activation and immune regulation in localized prostate cancer. OncoImmunology. 8(1). e1486953–e1486953. 29 indexed citations

10.

Yang, Su, Yue Liu, Christopher R. Behrens, et al.. (2018). Targeting CD46 for both adenocarcinoma and neuroendocrine prostate cancer. JCI Insight. 3(17). 56 indexed citations

11.

Magliocco, Anthony, Jennifer Moughan, Jeffry Simko, et al.. (2017). The Impact of MRE11 in Nuclear to Cytoplasmic Ratio on Outcomes in Muscle Invasive Bladder Cancer: an Analysis of NRG/RTOG 8802, 8903, 9506, 9706, 9906, and 0233.. International Journal of Radiation Oncology*Biology*Physics. 99(2). S117–S118. 5 indexed citations

12.

Wei, Xiao X., Serena S. Kwek, Jera Lewis, et al.. (2016). Systemic GM-CSF Recruits Effector T Cells into the Tumor Microenvironment in Localized Prostate Cancer. Cancer Immunology Research. 4(11). 948–958. 30 indexed citations

13.

Anwar, Mekhail, Antonio C. Westphalen, Adam J. Jung, et al.. (2014). Role of endorectal MR imaging and MR spectroscopic imaging in defining treatable intraprostatic tumor foci in prostate cancer: Quantitative analysis of imaging contour compared to whole-mount histopathology. Radiotherapy and Oncology. 110(2). 303–308. 32 indexed citations

14.

Cooperberg, Matthew R., Jeffry Simko, Janet E. Cowan, et al.. (2013). Validation of a Cell-Cycle Progression Gene Panel to Improve Risk Stratification in a Contemporary Prostatectomy Cohort. Journal of Clinical Oncology. 31(11). 1428–1434. 260 indexed citations

15.

Ross, Hillary, Oleksandr N. Kryvenko, Janet E. Cowan, et al.. (2012). Do Adenocarcinomas of the Prostate With Gleason Score (GS)≤6 Have the Potential to Metastasize to Lymph Nodes?. The American Journal of Surgical Pathology. 36(9). 1346–1352. 227 indexed citations

16.

Moltzahn, Felix, Adam B. Olshen, Lauren Baehner, et al.. (2010). Microfluidic-Based Multiplex qRT-PCR Identifies Diagnostic and Prognostic microRNA Signatures in the Sera of Prostate Cancer Patients. Cancer Research. 71(2). 550–560. 274 indexed citations

17.

Paris, Pamela L., Vivian Weinberg, Giancarlo Albo, et al.. (2009). A Group of Genome-Based Biomarkers That Add to a Kattan Nomogram for Predicting Progression in Men with High-Risk Prostate Cancer. Clinical Cancer Research. 16(1). 195–202. 25 indexed citations

18.

Kurhanewicz, John, Z. Laura Tabatabai, Jeffry Simko, et al.. (2009). Metabolic, pathologic, and genetic analysis of prostate tissues: quantitative evaluation of histopathologic and mRNA integrity after HR‐MAS spectroscopy. NMR in Biomedicine. 23(4). 391–398. 27 indexed citations

19.

Tessem, May‐Britt, Mark G. Swanson, Kayvan R. Keshari, et al.. (2008). Evaluation of lactate and alanine as metabolic biomarkers of prostate cancer using ¹H HR‐MAS spectroscopy of biopsy tissues. Magnetic Resonance in Medicine. 60(3). 510–516. 163 indexed citations

20.

Perner, Sven, Francesca Demichelis, Kirsten D. Mertz, et al.. (2007). Morphological features of TMPRSS2–ERG gene fusion prostate cancer. The Journal of Pathology. 212(1). 91–101. 100 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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