Anna Frolov

4.6k total citations
55 papers, 3.6k citations indexed

About

Anna Frolov is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Anna Frolov has authored 55 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 28 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Anna Frolov's work include Prostate Cancer Treatment and Research (23 papers), Cancer, Lipids, and Metabolism (10 papers) and Ubiquitin and proteasome pathways (8 papers). Anna Frolov is often cited by papers focused on Prostate Cancer Treatment and Research (23 papers), Cancer, Lipids, and Metabolism (10 papers) and Ubiquitin and proteasome pathways (8 papers). Anna Frolov collaborates with scholars based in United States, Spain and Türkiye. Anna Frolov's co-authors include Thomas M. Wheeler, Gustavo Ayala, Rile Li, Timothy C. Thompson, Michael Ittmann, Guang Yang, Peter T. Scardino, David R. Rowley, Hong Dai and Gustavo E. Ayala and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cancer.

In The Last Decade

Anna Frolov

55 papers receiving 3.5k citations

Peers

Anna Frolov
Rile Li United States
Dov Kadmon United States
Galen Hostetter United States
Vinay K. Puduvalli United States
Xin Ye China
Robert D. Loberg United States
Rile Li United States
Anna Frolov
Citations per year, relative to Anna Frolov Anna Frolov (= 1×) peers Rile Li

Countries citing papers authored by Anna Frolov

Since Specialization
Citations

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

Fields of papers citing papers by Anna Frolov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Frolov

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Frolov. A scholar is included among the top collaborators of Anna Frolov 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 Anna Frolov. Anna Frolov 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.
Frolov, Anna, et al.. (2017). Cellular interactions of the phosphorylated form of AKT in prostate cancer. Human Pathology. 63. 98–109. 4 indexed citations
2.
Agoulnik, Alexander I., Manqi Zhang, L. E. Peterson, et al.. (2016). Nuclear Receptor Corepressor 1 Expression and Output Declines with Prostate Cancer Progression. Clinical Cancer Research. 22(15). 3937–3949. 21 indexed citations
3.
Ayala, Gustavo, Anna Frolov, Deyali Chatterjee, et al.. (2015). Expression of ERG protein in prostate cancer: variability and biological correlates. Endocrine Related Cancer. 22(3). 277–287. 22 indexed citations
4.
Ayala, Gustavo E., Bahar Müezzínoğlu, Anna Frolov, et al.. (2011). Determining Prostate Cancer-Specific Death through Quantification of Stromogenic Carcinoma Area in Prostatectomy Specimens. American Journal Of Pathology. 178(1). 79–87. 48 indexed citations
5.
Ayala, Gustavo, Jun Yan, Rile Li, et al.. (2008). Bortezomib-Mediated Inhibition of Steroid Receptor Coactivator-3 Degradation Leads to Activated Akt. Clinical Cancer Research. 14(22). 7511–7518. 24 indexed citations
6.
Wang, Heming, Guang Yang, T L Timme, et al.. (2007). IL-12 gene-modified bone marrow cell therapy suppresses the development of experimental metastatic prostate cancer. Cancer Gene Therapy. 14(10). 819–827. 10 indexed citations
7.
Li, Rile, Sibel Erdamar, Hong Dai, et al.. (2007). Forkhead protein FKHR and its phosphorylated form p-FKHR in human prostate cancer. Human Pathology. 38(10). 1501–1507. 25 indexed citations
8.
Agoulnik, Irina U., Ajula Vaid, Manjula Nakka, et al.. (2006). Androgens Modulate Expression of Transcription Intermediary Factor 2, an Androgen Receptor Coactivator whose Expression Level Correlates with Early Biochemical Recurrence in Prostate Cancer. Cancer Research. 66(21). 10594–10602. 139 indexed citations
9.
Yang, Guang, Terry L. Timme, Anna Frolov, Thomas M. Wheeler, & Timothy C. Thompson. (2005). Combined c‐Myc and caveolin‐1 expression in human prostate carcinoma predicts prostate carcinoma progression. Cancer. 103(6). 1186–1194. 70 indexed citations
10.
Dai, Hong, Rile Li, Thomas M. Wheeler, et al.. (2005). Pim‐2 upregulation: Biological implications associated with disease progression and perinueral invasion in prostate cancer. The Prostate. 65(3). 276–286. 63 indexed citations
11.
McAlhany, Stephanie J., Gustavo E. Ayala, Anna Frolov, et al.. (2004). Decreased stromal expression and increased epithelial expression of WFDC1/ps20 in prostate cancer is associated with reduced recurrence‐free survival. The Prostate. 61(2). 182–191. 27 indexed citations
12.
Li, Rile, Thomas M. Wheeler, Hong Dai, et al.. (2004). High Level of Androgen Receptor Is Associated With Aggressive Clinicopathologic Features and Decreased Biochemical Recurrence-free Survival in Prostate. The American Journal of Surgical Pathology. 28(7). 928–934. 147 indexed citations
13.
Satoh, Takefumi, Guang Yang, Shin Egawa, et al.. (2003). Caveolin‐1 expression is a predictor of recurrence‐free survival in pT2N0 prostate carcinoma diagnosed in Japanese patients. Cancer. 97(5). 1225–1233. 71 indexed citations
14.
Teh, Bin S., Eugene Huang, Wei-Yuan Mai, et al.. (2003). Dosimetric predictors of xerostomia for head-and-neck cancer patients treated with the smart (simultaneous modulated accelerated radiation therapy) boost technique. International Journal of Radiation Oncology*Biology*Physics. 56(1). 136–144. 54 indexed citations
15.
Teh, Bin S., Michael D. Bastasch, Thomas M. Wheeler, et al.. (2003). IMRT for prostate cancer: Defining target volume based on correlated pathologic volume of disease. International Journal of Radiation Oncology*Biology*Physics. 56(1). 184–191. 44 indexed citations
16.
Tahir, Salahaldin A., Chengzhen Ren, Terry L. Timme, et al.. (2003). Development of an immunoassay for serum caveolin-1: a novel biomarker for prostate cancer.. PubMed. 9(10 Pt 1). 3653–9. 74 indexed citations
17.
Chernyshev, Oleg, Ninan T. Mathew, Jayasree Kailasam, et al.. (2001). Blood Flow Velocity and Pulsatility Index Differences in Patients With Unilateral Migraine. Headache The Journal of Head and Face Pain. 41(7). 704–709. 16 indexed citations
18.
Shimura, Satoru, Guang Yang, Shin Ebara, et al.. (2000). Reduced infiltration of tumor-associated macrophages in human prostate cancer: association with cancer progression.. PubMed. 60(20). 5857–61. 224 indexed citations
19.
Shariat, Shahrokh F., Alon Z. Weizer, Rodolfo Laucirica, et al.. (2000). Prognostic value of p53 nuclear accumulation and histopathologic features in T1 transitional cell carcinoma of the urinary bladder. Urology. 56(5). 735–740. 70 indexed citations
20.
Stayer, Stephen A., et al.. (2000). Pressure Control Ventilation: Three Anesthesia Ventilators Compared Using an Infant Lung Model. Anesthesia & Analgesia. 91(5). 1145–1150. 7 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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