Anthony Sisk

3.2k total citations · 2 hit papers
79 papers, 2.0k citations indexed

About

Anthony Sisk is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Anthony Sisk has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pulmonary and Respiratory Medicine, 22 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Rheumatology. Recurrent topics in Anthony Sisk's work include Prostate Cancer Diagnosis and Treatment (41 papers), Prostate Cancer Treatment and Research (31 papers) and Urologic and reproductive health conditions (16 papers). Anthony Sisk is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (41 papers), Prostate Cancer Treatment and Research (31 papers) and Urologic and reproductive health conditions (16 papers). Anthony Sisk collaborates with scholars based in United States, Canada and China. Anthony Sisk's co-authors include Ely Felker, Steven S. Raman, William D. Wallace, Leonard S. Marks, Lorna Kwan, Jonathan E. Zuckerman, Robert E. Reiter, Kevin de Haan, Aydogan Özcan and Yair Rivenson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Anthony Sisk

72 papers receiving 2.0k 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.

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

2019 406 citations Yair Rivenson, Hongda Wang et al. Nature Biomedical Engineering profile →
Deep learning-based transformation of H&E stained tissues into special stains

2021 185 citations Kevin de Haan, Yijie Zhang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony Sisk United States	23	1.1k	589	371	358	272	79	2.0k
Christina Hulsbergen‐van de Kaa Netherlands	19	1.5k 1.3×	1.0k 1.7×	439 1.2×	607 1.7×	91 0.3×	29	2.5k
Filippo Fraggetta Italy	31	1.2k 1.0×	414 0.7×	305 0.8×	378 1.1×	112 0.4×	159	2.9k
Arvydas Laurinavičius Lithuania	25	274 0.2×	323 0.5×	78 0.2×	438 1.2×	157 0.6×	105	1.8k
Hester van Boven Netherlands	20	570 0.5×	712 1.2×	92 0.2×	559 1.6×	63 0.2×	40	2.3k
Christian D. Fankhauser Switzerland	22	697 0.6×	296 0.5×	309 0.8×	250 0.7×	32 0.1×	141	2.0k
William D. Wallace United States	26	622 0.5×	237 0.4×	50 0.1×	360 1.0×	315 1.2×	91	2.8k
Jeroen Veltman Netherlands	23	1.5k 1.3×	1.5k 2.5×	365 1.0×	289 0.8×	21 0.1×	49	2.7k
B Bloch United States	25	967 0.8×	1.1k 1.9×	140 0.4×	256 0.7×	21 0.1×	91	2.0k
Jacob Sosna Israel	30	792 0.7×	1.3k 2.2×	80 0.2×	155 0.4×	91 0.3×	138	3.3k
Nicolas Michoux Belgium	22	456 0.4×	797 1.4×	180 0.5×	351 1.0×	21 0.1×	74	2.4k

Countries citing papers authored by Anthony Sisk

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Sisk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Sisk

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

Kim, Daniel H., Ida Sonni, Tristan Grogan, et al.. (2025). Quantitative 3-T Multiparametric MRI Parameters as Predictors of Aggressive Prostate Cancer. Radiology Imaging Cancer. 7(1). e240011–e240011. 1 indexed citations

Daskivich, Timothy J., Steven S. Raman, Anthony Sisk, et al.. (2025). Identifying cribriform and intraductal histology on magnetic resonance imaging‐assisted biopsy for patients with intermediate‐grade prostate cancer: Implications for active surveillance. Cancer. 131(14). e35968–e35968.

Luca, Diana, Adrián Estrada Corona, K. J. Walsh, et al.. (2025). Using Sagittal Length to Differentiate Between PRI-MUS 4 and PRI-MUS 5 Lesions. JU Open Plus. 3(10).

Sisk, Anthony, et al.. (2025). Rituximab treatment in non-lupus full-house nephropathy: A case report. SAGE Open Medical Case Reports. 13. 2050313X251333979–2050313X251333979.

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.

Raman, A., Corey Arnold, Anthony Sisk, et al.. (2025). Performance of MR fusion biopsy, systematic biopsy and combined biopsy on prostate cancer detection rate in 1229 patients stratified by PI-RADSv2 score on 3T multi-parametric MRI. Abdominal Radiology. 50(8). 3784–3793. 1 indexed citations

Brisbane, Wayne, Adam Kinnaird, Alan Priester, et al.. (2024). Evaluation of prostate cancer detection using micro-ultrasound versus MRI through co-registration to whole-mount pathology. Scientific Reports. 14(1). 18910–18910. 4 indexed citations

Zabihollahy, Fatemeh, Qi Miao, Ida Sonni, et al.. (2024). Investigating MRI‐Associated Biological Aspects of Racial Disparities in Prostate Cancer for African American and White Men. Journal of Magnetic Resonance Imaging. 61(1). 121–131. 1 indexed citations

Imran, Muhammad, Sara M. Falzarano, Anthony Sisk, et al.. (2024). Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. Biomedical Signal Processing and Control. 96. 106657–106657. 1 indexed citations

10.

Sonni, Ida, Adam B. Weiner, M. S. Deol, et al.. (2024). Clinical, Pathologic, and Imaging Variables Associated with Prostate Cancer Detection by PSMA PET/CT and Multiparametric MRI. Journal of Nuclear Medicine. 65(12). jnumed.124.268443–jnumed.124.268443. 1 indexed citations

11.

Huang, Rong, Chunlai Zuo, Christine E. Mona, et al.. (2024). FAP and PSMA Expression by Immunohistochemistry and PET Imaging in Castration-Resistant Prostate Cancer: A Translational Pilot Study. Journal of Nuclear Medicine. 65(12). jnumed.124.268037–jnumed.124.268037. 3 indexed citations

12.

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

13.

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

14.

Sisk, Anthony, et al.. (2023). Adrenal schwannoma can be FDG-Avid on PET/CT: case report and review of historic institutional pathology. Diagnostic Pathology. 18(1). 112–112. 1 indexed citations

15.

Haan, Kevin de, Yijie Zhang, Jonathan E. Zuckerman, et al.. (2021). Deep learning-based transformation of H&E stained tissues into special stains. Nature Communications. 12(1). 4884–4884. 185 indexed citations breakdown →

16.

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

17.

Rivenson, Yair, Hongda Wang, Zhensong Wei, et al.. (2019). Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning. Nature Biomedical Engineering. 3(6). 466–477. 406 indexed citations breakdown →

18.

Mirak, Sohrab Afshari, Amirhossein Mohammadian Bajgiran, Kyunghyun Sung, et al.. (2019). Dynamic contrast-enhanced (DCE) MR imaging: the role of qualitative and quantitative parameters for evaluating prostate tumors stratified by Gleason score and PI-RADS v2. Abdominal Radiology. 45(7). 2225–2234. 17 indexed citations

19.

Salmasi, Amirali, Izak Faiena, Anthony Sisk, et al.. (2018). Radical prostatectomy then and now: Surgical overtreatment of prostate cancer is declining from 2009 to 2016 at a tertiary referral center. Urologic Oncology Seminars and Original Investigations. 36(9). 401.e19–401.e25. 6 indexed citations

20.

Kuo, Eric J., Anthony Sisk, Zhiming Yang, et al.. (2017). Adrenal Teratoma: a Case Series and Review of the Literature. Endocrine Pathology. 28(2). 152–158. 18 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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