Nicholas Erho

8.2k total citations · 1 hit paper
81 papers, 2.4k citations indexed

About

Nicholas Erho is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Nicholas Erho has authored 81 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Pulmonary and Respiratory Medicine, 46 papers in Cancer Research and 28 papers in Molecular Biology. Recurrent topics in Nicholas Erho's work include Prostate Cancer Treatment and Research (59 papers), Cancer, Lipids, and Metabolism (29 papers) and Prostate Cancer Diagnosis and Treatment (27 papers). Nicholas Erho is often cited by papers focused on Prostate Cancer Treatment and Research (59 papers), Cancer, Lipids, and Metabolism (29 papers) and Prostate Cancer Diagnosis and Treatment (27 papers). Nicholas Erho collaborates with scholars based in Canada, United States and United Kingdom. Nicholas Erho's co-authors include Elai Davicioni, R. Jeffrey Karnes, Mohammed Alshalalfa, Edward M. Schaeffer, Ashley E. Ross, Christine Buerki, Robert B. Jenkins, Robert B. Den, Ismael A. Vergara and Eric A. Klein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Nicholas Erho

76 papers receiving 2.4k 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.

Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy

2013 427 citations Nicholas Erho, Anamaria Crisan et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Erho Canada	26	1.7k	1.1k	827	338	329	81	2.4k
Gabrielle Fisher United Kingdom	22	2.2k 1.3×	1.0k 1.0×	998 1.2×	342 1.0×	170 0.5×	41	2.7k
Kasra Yousefi United States	19	1.2k 0.7×	565 0.5×	317 0.4×	328 1.0×	128 0.4×	64	1.6k
Sara M. Falzarano United States	18	1.2k 0.7×	522 0.5×	524 0.6×	194 0.6×	86 0.3×	55	1.7k
Alex Smith United States	16	1.0k 0.6×	400 0.4×	641 0.8×	595 1.8×	202 0.6×	21	2.1k
Geert J. van Leenders Netherlands	21	1.2k 0.7×	274 0.3×	559 0.7×	258 0.8×	153 0.5×	27	1.7k
Ole J. Halvorsen Norway	26	1.2k 0.7×	748 0.7×	1.6k 1.9×	738 2.2×	304 0.9×	79	3.0k
Benjamin L. Maughan United States	22	1.4k 0.8×	707 0.7×	541 0.7×	915 2.7×	294 0.9×	167	2.1k
Christian Eichelberg Germany	21	999 0.6×	336 0.3×	582 0.7×	248 0.7×	98 0.3×	67	1.4k
Jack Groskopf United States	17	2.0k 1.2×	880 0.8×	804 1.0×	148 0.4×	56 0.2×	44	2.4k
Sameer Jhavar United States	18	669 0.4×	402 0.4×	613 0.7×	241 0.7×	190 0.6×	46	1.3k

Countries citing papers authored by Nicholas Erho

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Erho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Erho

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

Rounbehler, Robert J., Anders Berglund, Travis Gerke, et al.. (2018). Tristetraprolin Is a Prognostic Biomarker for Poor Outcomes among Patients with Low-Grade Prostate Cancer. Cancer Epidemiology Biomarkers & Prevention. 27(11). 1376–1383. 7 indexed citations

Alshalalfa, Mohammed, Mandeep Takhar, Nicholas Erho, et al.. (2018). Validation of a 10-gene molecular signature for predicting biochemical recurrence and clinical metastasis in localized prostate cancer. Journal of Cancer Research and Clinical Oncology. 144(5). 883–891. 21 indexed citations

Torres, Alba, Mohammed Alshalalfa, Scott A. Tomlins, et al.. (2017). Comprehensive Determination of Prostate Tumor ETS Gene Status in Clinical Samples Using the CLIA Decipher Assay. Journal of Molecular Diagnostics. 19(3). 475–484. 11 indexed citations

Tsai, Harrison, Jonathan Lehrer, Mohammed Alshalalfa, et al.. (2017). Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma. BMC Cancer. 17(1). 759–759. 50 indexed citations

Radtke, Jan Philipp, Mandeep Takhar, David Bonekamp, et al.. (2017). Transcriptome Wide Analysis of Magnetic Resonance Imaging-targeted Biopsy and Matching Surgical Specimens from High-risk Prostate Cancer Patients Treated with Radical Prostatectomy: The Target Must Be Hit. European Urology Focus. 4(4). 540–546. 17 indexed citations

You, Sungyong, Beatrice S. Knudsen, Nicholas Erho, et al.. (2016). Integrated Classification of Prostate Cancer Reveals a Novel Luminal Subtype with Poor Outcome. Cancer Research. 76(17). 4948–4958. 132 indexed citations

Den, Robert B., Elai Davicioni, Mandeep Takhar, et al.. (2016). The Frequency of Druggable Targets in Localized Prostate Cancer: Initial Analysis From a Commercially Available Genomic Expression Database in Urologic Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). E251–E252. 1 indexed citations

Stoyanova, Radka, Mandeep Takhar, John C. Ford, et al.. (2016). Prostate cancer radiomics and the promise of radiogenomics. Translational Cancer Research. 5(4). 432–447. 105 indexed citations

White, Nicole M., Shuang G. Zhao, Jin Zhang, et al.. (2016). Multi-institutional Analysis Shows that Low PCAT-14 Expression Associates with Poor Outcomes in Prostate Cancer. European Urology. 71(2). 257–266. 50 indexed citations

10.

Hurley, Paula J., Robert M. Hughes, Brian W. Simons, et al.. (2015). Androgen-Regulated SPARCL1 in the Tumor Microenvironment Inhibits Metastatic Progression. Cancer Research. 75(20). 4322–4334. 22 indexed citations

11.

Zhao, Shuang G., Joseph R. Evans, Vishal Kothari, et al.. (2015). The Landscape of Prognostic Outlier Genes in High-Risk Prostate Cancer. Clinical Cancer Research. 22(7). 1777–1786. 43 indexed citations

12.

Seiler, Roland, Woonyoung Choi, Lucia L.C. Lam, et al.. (2015). Association of p53-ness with chemo-resistance in urothelial cancers treated with neoadjuvant gemcitabine plus cisplatin.. Journal of Clinical Oncology. 33(15_suppl). 4512–4512. 4 indexed citations

13.

Faisal, Farzana A., Debasish Sundi, Jeffrey J. Tosoian, et al.. (2015). Racial Variations in Prostate Cancer Molecular Subtypes and Androgen Receptor Signaling Reflect Anatomic Tumor Location. European Urology. 70(1). 14–17. 69 indexed citations

14.

Pollack, Alan, Nicholas Erho, Lucia L.C. Lam, et al.. (2015). A biomarker panel associated with distant metastasis in prostate cancer patients treated with radiotherapy as prognostic for DM in a large cohort of prostatectomy patients.. Journal of Clinical Oncology. 33(7_suppl). 8–8. 4 indexed citations

15.

Mitra, Anirban P., Lucia L.C. Lam, Mercedeh Ghadessi, et al.. (2014). Discovery and Validation of Novel Expression Signature for Postcystectomy Recurrence in High-Risk Bladder Cancer. JNCI Journal of the National Cancer Institute. 106(11). 37 indexed citations

16.

Wiseman, Sam M., Zaid Haddad, Blair Walker, et al.. (2013). Whole-Transcriptome Profiling of Thyroid Nodules Identifies Expression-Based Signatures for Accurate Thyroid Cancer Diagnosis. The Journal of Clinical Endocrinology & Metabolism. 98(10). 4072–4079. 15 indexed citations

17.

Kaushik, Akash, Shaiju K. Vareed, Sumanta Basu, et al.. (2013). Metabolomic Profiling Identifies Biochemical Pathways Associated with Castration-Resistant Prostate Cancer. Journal of Proteome Research. 13(2). 1088–1100. 48 indexed citations

18.

Ross, Ashley E., Felix Y. Feng, Mercedeh Ghadessi, et al.. (2013). A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy. Prostate Cancer and Prostatic Diseases. 17(1). 64–69. 95 indexed citations

19.

Erho, Nicholas, Anamaria Crisan, Ismael A. Vergara, et al.. (2013). Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy. PLoS ONE. 8(6). e66855–e66855. 427 indexed citations breakdown →

20.

Vergara, Ismael A., Nicholas Erho, Timothy J. Triche, et al.. (2012). Genomic “Dark Matter” in Prostate Cancer: Exploring the Clinical Utility of ncRNA as Biomarkers. Frontiers in Genetics. 3. 23–23. 13 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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