Leonard S. Marks

14.1k total citations · 5 hit papers
205 papers, 9.6k citations indexed

About

Leonard S. Marks is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Urology. According to data from OpenAlex, Leonard S. Marks has authored 205 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Pulmonary and Respiratory Medicine, 52 papers in Rheumatology and 47 papers in Urology. Recurrent topics in Leonard S. Marks's work include Prostate Cancer Diagnosis and Treatment (138 papers), Prostate Cancer Treatment and Research (104 papers) and Urologic and reproductive health conditions (45 papers). Leonard S. Marks is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (138 papers), Prostate Cancer Treatment and Research (104 papers) and Urologic and reproductive health conditions (45 papers). Leonard S. Marks collaborates with scholars based in United States, Canada and Netherlands. Leonard S. Marks's co-authors include Shyam Natarajan, Daniel Margolis, Frederick J. Dorey, Jiaoti Huang, Alan W. Partin, Harry G. Rittenhouse, Patricia Lieu, Robert E. Reiter, Maria Luz Macairan and Geoffrey A. Sonn and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Oncology.

In The Last Decade

Leonard S. Marks

200 papers receiving 9.3k citations

Hit Papers

5 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.

Detection of Clinically Significant Prostate Cancer Using Magnetic Resonance Imaging–Ultrasound Fusion Targeted Biopsy: A Systematic Review

2014 345 citations Massimo Valério, Leonard S. Marks et al. profile →
Multifocality and Prostate Cancer Detection by Multiparametric Magnetic Resonance Imaging: Correlation with Whole-mount Histopathology

2014 336 citations Lorna Kwan, Leonard S. Marks et al. profile →
Prostate cancer detection with magnetic resonance‐ultrasound fusion biopsy: The role of systematic and targeted biopsies

2016 305 citations Christopher P. Filson, Shyam Natarajan et al. Cancer profile →
Value of Targeted Prostate Biopsy Using Magnetic Resonance–Ultrasound Fusion in Men with Prior Negative Biopsy and Elevated Prostate-specific Antigen

2013 297 citations Geoffrey A. Sonn, Shyam Natarajan et al. profile →
Prostate Magnetic Resonance Imaging and Magnetic Resonance Imaging Targeted Biopsy in Patients with a Prior Negative Biopsy: A Consensus Statement by AUA and SAR

2016 273 citations Daniel Margolis, Leonard S. Marks et al. The Journal of Urology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard S. Marks United States	53	7.3k	2.4k	1.5k	1.5k	1.3k	205	9.6k
Michael K. Brawer United States	49	7.0k 0.9×	2.3k 1.0×	560 0.4×	1.3k 0.9×	1.5k 1.2×	168	9.0k
Nicolas Mottet France	36	6.8k 0.9×	1.5k 0.6×	1.4k 0.9×	698 0.5×	983 0.8×	147	8.6k
Katsuto Shinohara United States	54	7.0k 0.9×	2.0k 0.8×	2.0k 1.3×	1.0k 0.7×	835 0.7×	226	9.2k
Osamu Ukimura Japan	45	4.6k 0.6×	1.7k 0.7×	985 0.6×	1.6k 1.1×	1.3k 1.0×	343	7.5k
Arnauld Villers France	56	10.4k 1.4×	3.3k 1.4×	2.9k 1.9×	995 0.7×	1.1k 0.8×	339	12.8k
Misop Han United States	50	9.9k 1.3×	2.3k 1.0×	1.0k 0.7×	754 0.5×	1.7k 1.3×	225	12.1k
Bob Djavan Austria	48	4.7k 0.6×	2.1k 0.9×	522 0.3×	2.7k 1.8×	809 0.6×	230	7.0k
Thomas J. Polascik United States	52	6.6k 0.9×	1.5k 0.6×	1.7k 1.1×	547 0.4×	2.0k 1.5×	341	9.2k
Samir S. Taneja United States	59	9.2k 1.3×	2.7k 1.1×	3.7k 2.4×	722 0.5×	1.7k 1.3×	326	12.0k
M. Scott Lucia United States	54	7.7k 1.1×	1.6k 0.7×	641 0.4×	1.3k 0.9×	3.2k 2.5×	193	14.4k

Countries citing papers authored by Leonard S. Marks

Since Specialization

Citations

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

Fields of papers citing papers by Leonard S. Marks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard S. Marks

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard S. Marks. A scholar is included among the top collaborators of Leonard S. Marks 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 Leonard S. Marks. Leonard S. Marks 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

Weiner, Adam B., et al.. (2025). Genomic Biomarker for Prostate Cancer Focal Therapy: Post Hoc Assessment of a Phase II Clinical Trial. JCO Precision Oncology. 9(9). e2500535–e2500535.

Aronson, William J., Tristan Grogan, Patricia Jardack, et al.. (2024). High Omega-3, Low Omega-6 Diet With Fish Oil for Men With Prostate Cancer on Active Surveillance: The CAPFISH-3 Randomized Clinical Trial. Journal of Clinical Oncology. 43(7). 800–809. 7 indexed citations

Brisbane, Wayne, et al.. (2024). Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes. SHILAP Revista de lepidopterología. 6(1). e456–e456. 3 indexed citations

Rakauskas, Arnas, Julien Dagher, Stefano La Rosa, et al.. (2023). Assessing cancer risk in the anterior part of the prostate using micro-ultrasound: validation of a novel distinct protocol. World Journal of Urology. 41(11). 3325–3331. 7 indexed citations

Valle, Luca, Jérémie Calais, Leonard S. Marks, et al.. (2023). Radiographic-pathologic concordance in the workup of locally radiorecurrent prostate cancer.. Journal of Clinical Oncology. 41(6_suppl). 313–313. 1 indexed citations

Brisbane, Wayne, Lorna Kwan, Alan Priester, et al.. (2023). Cryotherapy for partial gland ablation of prostate cancer: Oncologic and safety outcomes. Cancer Medicine. 12(8). 9351–9362. 17 indexed citations

Calais, Jérémie, et al.. (2023). Focal therapy of prostate cancer: Assessment with prostate-specific membrane antigen (PSMA) imaging. Urology Case Reports. 50. 102461–102461. 2 indexed citations

Priester, Alan, Richard E. Fan, Mirabela Rusu, et al.. (2023). Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence. European Urology Open Science. 54. 20–27. 8 indexed citations

Vesal, Sulaiman, Indrani Bhattacharya, Shyam Natarajan, et al.. (2022). Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Analysis. 82. 102620–102620. 22 indexed citations

10.

Awamlh, Bashir Al Hussein Al, Leonard S. Marks, Geoffrey A. Sonn, et al.. (2020). Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions. Urologic Oncology Seminars and Original Investigations. 38(7). 637.e9–637.e15. 18 indexed citations

11.

Zhou, Steve, et al.. (2019). Using spatial tracking with magnetic resonance imaging/ultrasound‐guided biopsy to identify unilateral prostate cancer. British Journal of Urology. 125(3). 399–406. 2 indexed citations

12.

Johnson, David C., Lorna Kwan, Sohrab Afshari Mirak, et al.. (2019). Do contemporary imaging and biopsy techniques reliably identify unilateral prostate cancer? Implications for hemiablation patient selection. Cancer. 125(17). 2955–2964. 24 indexed citations

13.

Calais, Jérémie, Wolfgang P. Fendler, Matthias Eiber, et al.. (2017). Impact of ⁶⁸Ga-PSMA-11 PET/CT on the Management of Prostate Cancer Patients with Biochemical Recurrence. Journal of Nuclear Medicine. 59(3). 434–441. 118 indexed citations

14.

Palapattu, Ganesh S., Simpa S. Salami, Andi K. Cani, et al.. (2016). Molecular Profiling to Determine Clonality of Serial Magnetic Resonance Imaging/Ultrasound Fusion Biopsies from Men on Active Surveillance for Low-Risk Prostate Cancer. Clinical Cancer Research. 23(4). 985–991. 17 indexed citations

15.

Filson, Christopher P., Daniel Margolis, Jiaoti Huang, et al.. (2015). MP60-11 SHOULD A NORMAL MULTIPARAMETRIC MRI PRECLUDE PROSTATE BIOPSY?. The Journal of Urology. 193(4S). 11 indexed citations

16.

Veltri, Robert W., Masood A. Khan, Cameron Marlow, et al.. (2006). Alterations in nuclear structure and expression of proPSA predict differences between native Japanese and Japanese-American prostate cancer. Urology. 68(4). 898–904. 8 indexed citations

17.

Marks, Leonard S.. (2004). 5α-Reductase: History and Clinical Importance. PubMed Central. 6. 16 indexed citations

18.

Marks, Leonard S., et al.. (2003). Introduction. Urology. 61(4). 1–1. 3 indexed citations

19.

Marks, Leonard S., et al.. (1994). Morphometry of the prostate: I. Distribution of tissue components in hyperplastic glands. Urology. 44(4). 486–492. 65 indexed citations

20.

Marks, Leonard S., et al.. (1974). Arteriography in penetrating renal trauma. Urology. 3(1). 18–22. 5 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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