Beatrice S. Knudsen

18.8k total citations · 1 hit paper
144 papers, 14.2k citations indexed

About

Beatrice S. Knudsen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Beatrice S. Knudsen has authored 144 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 50 papers in Pulmonary and Respiratory Medicine and 35 papers in Oncology. Recurrent topics in Beatrice S. Knudsen's work include Prostate Cancer Treatment and Research (41 papers), AI in cancer detection (18 papers) and Cell Adhesion Molecules Research (17 papers). Beatrice S. Knudsen is often cited by papers focused on Prostate Cancer Treatment and Research (41 papers), AI in cancer detection (18 papers) and Cell Adhesion Molecules Research (17 papers). Beatrice S. Knudsen collaborates with scholars based in United States, South Africa and Canada. Beatrice S. Knudsen's co-authors include Peter S. Nelson, Daniel W. Lin, Muneesh Tewari, Charles W. Drescher, Kathy O'Briant, Nicole Urban, Robert L. Vessella, Rachael K. Parkin, Patrick S. Mitchell and April N. Allen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Beatrice S. Knudsen

140 papers receiving 14.0k 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.

Circulating microRNAs as stable blood-based markers for cancer detection

2008 6.5k citations Patrick S. Mitchell, Rachael K. Parkin et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beatrice S. Knudsen United States	48	9.4k	7.2k	2.1k	2.0k	945	144	14.2k
Rameen Beroukhim United States	58	10.0k 1.1×	6.1k 0.8×	3.2k 1.5×	4.1k 2.1×	1.2k 1.3×	155	17.0k
Alexandra Giatromanolaki Greece	65	7.6k 0.8×	5.9k 0.8×	2.8k 1.3×	4.2k 2.1×	2.0k 2.1×	389	15.3k
Adam B. Olshen United States	51	8.6k 0.9×	4.7k 0.7×	2.8k 1.3×	4.9k 2.5×	894 0.9×	152	15.7k
Jen‐Tsan Chi United States	53	7.1k 0.8×	4.6k 0.6×	2.0k 1.0×	1.8k 0.9×	1.2k 1.2×	146	11.7k
Janusz Rak Canada	67	12.7k 1.4×	7.2k 1.0×	1.9k 0.9×	5.1k 2.6×	1.8k 1.9×	202	18.1k
Francesco Pezzella United Kingdom	58	7.0k 0.7×	4.5k 0.6×	1.9k 0.9×	4.1k 2.1×	1.4k 1.5×	159	12.1k
Mao Mao United States	37	8.6k 0.9×	3.6k 0.5×	1.1k 0.5×	2.8k 1.4×	991 1.0×	108	13.5k
Christel Herold‐Mende Germany	63	6.3k 0.7×	3.6k 0.5×	1.7k 0.8×	4.3k 2.1×	2.0k 2.1×	313	14.4k
David G. Beer United States	64	10.8k 1.2×	5.8k 0.8×	3.7k 1.8×	3.7k 1.9×	1.3k 1.3×	241	16.9k
Peter Schraml Switzerland	53	7.4k 0.8×	3.5k 0.5×	3.3k 1.6×	4.5k 2.2×	1.1k 1.1×	158	12.1k

Countries citing papers authored by Beatrice S. Knudsen

Since Specialization

Citations

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

Fields of papers citing papers by Beatrice S. Knudsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice S. Knudsen

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

Pajares, María J., Qian Yang, Joaquín Fernández‐Irigoyen, et al.. (2025). ONECUT2 reprograms neuroendocrine fate and is an actionable therapeutic target in small cell lung cancer. Molecular Medicine. 31(1). 232–232.

Brintz, Ben J., et al.. (2024). HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification. Modern Pathology. 37(4). 100447–100447. 8 indexed citations

Hellsten, Rebecka, Agnieszka Krzyzanowska, Margareta Persson, et al.. (2024). pSTAT3 Expression is Increased in Advanced Prostate Cancer in Post‐Initiation of Androgen Deprivation Therapy. The Prostate. 85(3). 252–264.

Knudsen, Beatrice S., Jeppe Thagaard, Georgios Deftereos, et al.. (2024). A Pipeline for Evaluation of Machine Learning/Artificial Intelligence Models to Quantify Programmed Death Ligand 1 Immunohistochemistry. Laboratory Investigation. 104(6). 102070–102070. 4 indexed citations

Gard, Jaime M.C., Charles W. Wolgemuth, Beatrice S. Knudsen, et al.. (2023). Biophysical phenotype mixtures reveal advantages for tumor muscle invasion in vivo. Biophysical Journal. 122(21). 4194–4206. 2 indexed citations

Bronner, Mary P., et al.. (2023). Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry. Modern Pathology. 36(12). 100331–100331. 7 indexed citations

Romero, Tahmineh, Matthew B. Rettig, Michael L. Steinberg, et al.. (2022). Significant changes in macrophage and CD8 T cell densities in primary prostate tumors 2 weeks after SBRT. Prostate Cancer and Prostatic Diseases. 26(1). 207–209. 10 indexed citations

Yan, Yiwu, Bo Zhou, Qian Chen, et al.. (2022). Receptor-interacting protein kinase 2 (RIPK2) stabilizes c-Myc and is a therapeutic target in prostate cancer metastasis. Nature Communications. 13(1). 669–669. 28 indexed citations

Gertych, Arkadiusz, Żaneta Świderska-Chadaj, Zhaoxuan Ma, et al.. (2019). Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides. Scientific Reports. 9(1). 1483–1483. 119 indexed citations

10.

Das, Lipsa, Jaime M.C. Gard, Rytis Prekeris, et al.. (2018). Novel Regulation of Integrin Trafficking by Rab11-FIP5 in Aggressive Prostate Cancer. Molecular Cancer Research. 16(8). 1319–1331. 15 indexed citations

11.

Reis-Sobreiro, Mariana, Jie‐Fu Chen, Tatiana Novitskaya, et al.. (2018). Emerin Deregulation Links Nuclear Shape Instability to Metastatic Potential. Cancer Research. 78(21). 6086–6097. 53 indexed citations

12.

Ma, Zhaoxuan, Stephen L. Shiao, Emi Yoshida, et al.. (2017). Data integration from pathology slides for quantitative imaging of multiple cell types within the tumor immune cell infiltrate. Diagnostic Pathology. 12(1). 69–69. 20 indexed citations

13.

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

14.

Gertych, Arkadiusz, Sambit K. Mohanty, Kolja Wawrowsky, et al.. (2014). Effects of tissue decalcification on the quantification of breast cancer biomarkers by digital image analysis. Diagnostic Pathology. 9(1). 213–213. 29 indexed citations

15.

Risk, Michael, Beatrice S. Knudsen, Ilsa M. Coleman, et al.. (2010). Differential Gene Expression in Benign Prostate Epithelium of Men with and without Prostate Cancer: Evidence for a Prostate Cancer Field Effect. Clinical Cancer Research. 16(22). 5414–5423. 43 indexed citations

16.

Mitchell, Patrick S., Rachael K. Parkin, Evan M. Kroh, et al.. (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proceedings of the National Academy of Sciences. 105(30). 10513–10518. 6512 indexed citations breakdown →

17.

Mostaghel, Elahe A., Stephanie T. Page, Daniel W. Lin, et al.. (2007). Intraprostatic Androgens and Androgen-Regulated Gene Expression Persist after Testosterone Suppression: Therapeutic Implications for Castration-Resistant Prostate Cancer. Cancer Research. 67(10). 5033–5041. 388 indexed citations

18.

Knudsen, Beatrice S., Jared M. Lucas, Ladan Fazli, et al.. (2005). Regulation of Hepatocyte Activator Inhibitor-1 Expression by Androgen and Oncogenic Transformation in the Prostate. American Journal Of Pathology. 167(1). 255–266. 10 indexed citations

19.

Yu, Hsiao‐Man Ivy, Diane E. Frank, Jie Zhang, et al.. (2004). Basal prostate epithelial cells stimulate the migration of prostate cancer cells. Molecular Carcinogenesis. 41(2). 85–97. 19 indexed citations

20.

Webb, Craig P., Hsiao‐Man Ivy Yu, Xueke You, et al.. (2001). Normal and Malignant Prostate Epithelial Cells Differ in Their Response to Hepatocyte Growth Factor/Scatter Factor. American Journal Of Pathology. 159(2). 579–590. 80 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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