Michael Sigouros

2.5k total citations · 1 hit paper
35 papers, 725 citations indexed

About

Michael Sigouros is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Michael Sigouros has authored 35 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Michael Sigouros's work include Prostate Cancer Treatment and Research (22 papers), Cancer Genomics and Diagnostics (10 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). Michael Sigouros is often cited by papers focused on Prostate Cancer Treatment and Research (22 papers), Cancer Genomics and Diagnostics (10 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). Michael Sigouros collaborates with scholars based in United States, Israel and Italy. Michael Sigouros's co-authors include Himisha Beltran, Andrea Sboner, Olivier Elemento, Juan Miguel Mosquera, Vincenza Conteduca, David M. Nanus, Scott T. Tagawa, Rohan Bareja, Bishoy M. Faltas and Ana M. Molina and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Michael Sigouros

32 papers receiving 724 citations

Hit Papers

Clinical features of neuroendocrine prostate cancer 2019 2026 2021 2023 2019 50 100 150 200

Peers

Michael Sigouros
Adam Foye United States
Mateus Crespo United Kingdom
Penelope DeCarolis United States
Daniel C. Koboldt United States
Michael Sigouros
Citations per year, relative to Michael Sigouros Michael Sigouros (= 1×) peers Sara Ravaioli

Countries citing papers authored by Michael Sigouros

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sigouros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sigouros

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sigouros. A scholar is included among the top collaborators of Michael Sigouros 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 Michael Sigouros. Michael Sigouros 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.
Driskill, Jordan H., Michael Sigouros, Olga Kudryashova, et al.. (2025). 827 Profiling the Intratumor Microbiome in Prostate Cancer (PC) Reveals Consistent Signatures Across Different Metastatic Sites and Correlates with the Tumor Microenvironment (TME). Laboratory Investigation. 105(3). 103060–103060.
2.
Waltman, Peter, Michael Sigouros, Chen Zhang, et al.. (2025). Longitudinal Genomic Analysis of Five Cases of Recurrent Thymomas. Journal of Thoracic Oncology.
3.
Hadi, Kevin, Jiangling Tu, Max F. Levine, et al.. (2024). Enhancing the detection of clinically relevant biomarkers in advanced uterine and tubo-ovarian carcinomas through genome-wide analysis. Pathology - Research and Practice. 266. 155773–155773. 1 indexed citations
4.
Sigouros, Michael, Andy V. Phan, Max F. Levine, et al.. (2024). Whole-Genome Sequencing Analysis of Male Breast Cancer Unveils Novel Structural Events and Potential Therapeutic Targets. Modern Pathology. 37(4). 100452–100452. 5 indexed citations
6.
Mora, Jesús Delgado-de la, Gunes Gundem, Max F. Levine, et al.. (2024). Whole genome profiling of primary and metastatic adrenocortical carcinoma unravels significant molecular events. Pathology - Research and Practice. 266. 155725–155725. 2 indexed citations
7.
Levine, Max F., Aditya Deshpande, Michael Sigouros, et al.. (2024). Whole genome sequencing elucidates etiological differences in MCPyV-negative Merkel cell carcinoma. Pathology - Research and Practice. 263. 155668–155668. 1 indexed citations
8.
Sumiyoshi, Takayuki, Xiaofei Wang, Evan W. Warner, et al.. (2023). Molecular features of prostate cancer after neoadjuvant therapy in the phase 3 CALGB 90203 trial. JNCI Journal of the National Cancer Institute. 116(1). 115–126. 2 indexed citations
9.
Khani, Francesca, Timothy R. Chu, Minita Shah, et al.. (2023). Evolution of structural rearrangements in prostate cancer intracranial metastases. npj Precision Oncology. 7(1). 91–91. 4 indexed citations
10.
Bhinder, Bhavneet, Alison Ferguson, Michael Sigouros, et al.. (2023). Immunogenomic Landscape of Neuroendocrine Prostate Cancer. Clinical Cancer Research. 29(15). 2933–2943. 19 indexed citations
11.
Brendel, Matthew, Michael Sigouros, Alexandros Sigaras, et al.. (2022). Weakly-supervised tumor purity prediction from frozen H&E stained slides. EBioMedicine. 80. 104067–104067. 14 indexed citations
12.
Sternberg, Cora N., Nara Shin, Fabio Calabrò, et al.. (2022). Case report: Metastatic urothelial cancer with an exceptional response to immunotherapy and comprehensive understanding of the tumor and the tumor microenvironment. Frontiers in Oncology. 12. 1006017–1006017. 2 indexed citations
13.
Conteduca, Vincenza, Sheng‐Yu Ku, Jerry Lee, et al.. (2021). Circulating tumor cell heterogeneity in neuroendocrine prostate cancer by single cell copy number analysis. npj Precision Oncology. 5(1). 76–76. 22 indexed citations
14.
Brady, Nicholas J., Richa Singh, Vincenza Conteduca, et al.. (2021). Temporal evolution of cellular heterogeneity during the progression to advanced AR-negative prostate cancer. Nature Communications. 12(1). 3372–3372. 50 indexed citations
15.
Gjyrezi, Ada, Giuseppe Galletti, Jiaren Zhang, et al.. (2021). Androgen receptor variant shows heterogeneous expression in prostate cancer according to differentiation stage. Communications Biology. 4(1). 785–785. 5 indexed citations
16.
Beltran, Himisha, Alessandro Romanel, Vincenza Conteduca, et al.. (2020). Circulating tumor DNA profile recognizes transformation to castration-resistant neuroendocrine prostate cancer. Journal of Clinical Investigation. 130(4). 1653–1668. 132 indexed citations
17.
Conteduca, Vincenza, Sheng‐Yu Ku, Loredana Puca, et al.. (2020). SLFN11 Expression in Advanced Prostate Cancer and Response to Platinum-based Chemotherapy. Molecular Cancer Therapeutics. 19(5). 1157–1164. 46 indexed citations
18.
Tiwari, Ritika, Vipul Bhatia, Anjali Yadav, et al.. (2020). Androgen deprivation upregulates SPINK1 expression and potentiates cellular plasticity in prostate cancer. Nature Communications. 11(1). 384–384. 57 indexed citations
19.
Conteduca, Vincenza, Clara Oromendia, Kenneth Eng, et al.. (2019). Clinical features of neuroendocrine prostate cancer. European Journal of Cancer. 121. 7–18. 232 indexed citations breakdown →
20.
Beltran, Himisha, Alexander W. Wyatt, Edmund C.P. Chedgy, et al.. (2017). Impact of Therapy on Genomics and Transcriptomics in High-Risk Prostate Cancer Treated with Neoadjuvant Docetaxel and Androgen Deprivation Therapy. Clinical Cancer Research. 23(22). 6802–6811. 52 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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