Boris Freydin

616 total citations
17 papers, 470 citations indexed

About

Boris Freydin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Boris Freydin has authored 17 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Boris Freydin's work include Cancer Cells and Metastasis (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Boris Freydin is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Boris Freydin collaborates with scholars based in United States, Israel and Germany. Boris Freydin's co-authors include Agnieszka K. Witkiewicz, Hallgeir Rui, Terry Hyslop, Jonathan R. Brody, Charles J. Yeo, Inna Chervoneva, Amy R. Peck, Jeffrey A. Hooke, Albert J. Kovatich and Craig D. Shriver and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer.

In The Last Decade

Boris Freydin

16 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Freydin United States 10 274 241 117 68 58 17 470
María Giselle Peters Argentina 10 177 0.6× 300 1.2× 89 0.8× 62 0.9× 47 0.8× 17 469
Zhefu Ma United States 12 251 0.9× 551 2.3× 145 1.2× 53 0.8× 88 1.5× 12 634
Meraj Aziz United States 12 211 0.8× 353 1.5× 191 1.6× 51 0.8× 41 0.7× 18 617
Shannon L. Gibson United States 7 238 0.9× 426 1.8× 194 1.7× 51 0.8× 50 0.9× 8 548
Golareh Habibi Canada 5 241 0.9× 430 1.8× 151 1.3× 42 0.6× 150 2.6× 7 582
Sandra Guaita Spain 6 333 1.2× 497 2.1× 128 1.1× 61 0.9× 26 0.4× 10 670
Azadeh Arabi Iran 11 193 0.7× 672 2.8× 123 1.1× 51 0.8× 38 0.7× 14 795
Tao Hai China 12 107 0.4× 314 1.3× 234 2.0× 55 0.8× 94 1.6× 17 523
Mariangela Balistreri Italy 10 124 0.5× 270 1.1× 219 1.9× 43 0.6× 67 1.2× 15 487
Kateřina Bouchalová Czechia 12 229 0.8× 193 0.8× 128 1.1× 32 0.5× 22 0.4× 35 486

Countries citing papers authored by Boris Freydin

Since Specialization
Citations

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

Fields of papers citing papers by Boris Freydin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Freydin

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Freydin. A scholar is included among the top collaborators of Boris Freydin 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 Boris Freydin. Boris Freydin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Chervoneva, Inna, Amy R. Peck, Misung Yi, Boris Freydin, & Hallgeir Rui. (2020). Quantification of spatial tumor heterogeneity in immunohistochemistry staining images. Bioinformatics. 37(10). 1452–1460. 12 indexed citations
2.
Chervoneva, Inna, Boris Freydin, Terry Hyslop, & Scott A. Waldman. (2017). Modeling qRT-PCR dynamics with application to cancer biomarker quantification. Statistical Methods in Medical Research. 27(9). 2581–2595. 6 indexed citations
3.
Peck, Amy R., Melanie A. Girondo, Chengbao Liu, et al.. (2016). Validation of tumor protein marker quantification by two independent automated immunofluorescence image analysis platforms. Modern Pathology. 29(10). 1143–1154. 17 indexed citations
4.
Chervoneva, Inna, et al.. (2014). Estimation of nonlinear differential equation model for glucose–insulin dynamics in type I diabetic patients using generalized smoothing. The Annals of Applied Statistics. 8(2). 886–904. 3 indexed citations
5.
Sato, Takami, Amy R. Peck, Melanie A. Girondo, et al.. (2013). Prolactin suppresses a progestin-induced CK5-positive cell population in luminal breast cancer through inhibition of progestin-driven BCL6 expression. Oncogene. 33(17). 2215–2224. 39 indexed citations
6.
Yang, Ning, Chengbao Liu, Amy R. Peck, et al.. (2013). Prolactin-Stat5 signaling in breast cancer is potently disrupted by acidosis within the tumor microenvironment. Breast Cancer Research. 15(5). R73–R73. 12 indexed citations
7.
Peck, Amy R., Agnieszka K. Witkiewicz, Chengbao Liu, et al.. (2012). Low levels of Stat5a protein in breast cancer are associated with tumor progression and unfavorable clinical outcomes. Breast Cancer Research. 14(5). R130–R130. 59 indexed citations
8.
Valsecchi, Matías E., Jonathan R. Brody, Terry Hyslop, et al.. (2011). Epidermal growth factor receptor and insulinlike growth factor 1 receptor expression predict poor survival in pancreatic ductal adenocarcinoma. Cancer. 118(14). 3484–3493. 96 indexed citations
9.
Peck, Amy R., Agnieszka K. Witkiewicz, Chengbao Liu, et al.. (2011). Loss of Nuclear Localized and Tyrosine Phosphorylated Stat5 in Breast Cancer Predicts Poor Clinical Outcome and Increased Risk of Antiestrogen Therapy Failure. Journal of Clinical Oncology. 29(18). 2448–2458. 79 indexed citations
10.
Peck, Amy R., Agnieszka K. Witkiewicz, Chengbao Liu, et al.. (2011). Reply to A. Italiano. Journal of Clinical Oncology. 29(35). 4718–4719.
11.
Peck, Amy R., Agnieszka K. Witkiewicz, Chengbao Liu, et al.. (2011). Abstract 2277: Loss of nuclear localized and tyrosine phosphorylated Stat5: A predictor of poor clinical outcome and increased risk of antiestrogen therapy failure in breast cancer. Cancer Research. 71(8_Supplement). 2277–2277. 1 indexed citations
12.
Behling, Kathryn C., Amy Tang, Boris Freydin, et al.. (2010). Increased SIAH expression predicts ductal carcinoma in situ (DCIS) progression to invasive carcinoma. Breast Cancer Research and Treatment. 129(3). 717–724. 21 indexed citations
13.
Witkiewicz, Agnieszka K., Boris Freydin, Inna Chervoneva, et al.. (2010). Stromal CD10 and SPARC expression in ductal carcinoma in situ (DCIS) patients predicts disease recurrence. Cancer Biology & Therapy. 10(4). 391–396. 38 indexed citations
14.
Richards, Nathan, David Rittenhouse, Boris Freydin, et al.. (2010). HuR Status is a Powerful Marker for Prognosis and Response to Gemcitabine-Based Chemotherapy for Resected Pancreatic Ductal Adenocarcinoma Patients. Annals of Surgery. 252(3). 499–506. 80 indexed citations
15.
Alpay, Daniel, Vladimir Bolotnikov, Aad Dijksma, & Boris Freydin. (2002). Nonstationary analogues of the Herglotz representation theorem for unbounded operators. Archiv der Mathematik. 78(6). 465–474. 3 indexed citations
16.
Freydin, Boris, et al.. (2000). An extension problem for discrete-time almost periodically correlated stochastic processes. Linear Algebra and its Applications. 308(1-3). 163–181. 3 indexed citations
17.
Alpay, Daniel, et al.. (1998). On Bitangential Interpolation in the Time-Varying Setting for Hilbert–Schmidt Operators: The Continuous Time Case. Journal of Mathematical Analysis and Applications. 228(2). 275–292. 1 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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