Andrey Khramtsov

3.6k total citations
34 papers, 1.8k citations indexed

About

Andrey Khramtsov is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Andrey Khramtsov has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Oncology and 7 papers in Genetics. Recurrent topics in Andrey Khramtsov's work include Virus-based gene therapy research (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA Interference and Gene Delivery (4 papers). Andrey Khramtsov is often cited by papers focused on Virus-based gene therapy research (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA Interference and Gene Delivery (4 papers). Andrey Khramtsov collaborates with scholars based in United States, Nigeria and Russia. Andrey Khramtsov's co-authors include Olufunmilayo I. Olopade, Dezheng Huo, Maria Tretiakova, Galina Khramtsova, Kathleen H. Goss, David Malaka, Maciej S. Lesniak, Ilya V. Ulasov, Charles M. Perou and Chunling Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Andrey Khramtsov

29 papers receiving 1.8k citations

Peers

Andrey Khramtsov
Gail Eckhardt United States
Pramudita R. Prasetyanti Netherlands
Christiaan Klijn Netherlands
Paul J. van Diest Netherlands
Kazushi Shigemasa Japan
Hisaki Nagai Japan
Celina M. D’Cruz United States
Jennifer L. Santos Canada
Lakjaya Buluwela United Kingdom
Adam D. Steg United States
Gail Eckhardt United States
Andrey Khramtsov
Citations per year, relative to Andrey Khramtsov Andrey Khramtsov (= 1×) peers Gail Eckhardt

Countries citing papers authored by Andrey Khramtsov

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Khramtsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Khramtsov

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Khramtsov. A scholar is included among the top collaborators of Andrey Khramtsov 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 Andrey Khramtsov. Andrey Khramtsov 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.
Khojah, Amer, Wilfredo Marin, Andrey Khramtsov, et al.. (2023). Increased Otoferlin Expression in B Cells Is Associated with Muscle Weakness in Untreated Juvenile Dermatomyositis: A Pilot Study. International Journal of Molecular Sciences. 24(13). 10553–10553. 4 indexed citations
2.
Khramtsov, Andrey, et al.. (2021). Application of digital technology in the work of a pathologist: guidelines for learning how to use speech recognition systems. Pediatrician (St Petersburg). 12(3). 63–68. 1 indexed citations
3.
Abdulkareem, FB, Galina Khramtsova, Olorunda Rotimi, et al.. (2021). Consensus molecular subtyping of colorectal cancer by immunohistochemistry, an imperative for a resource limited setting. 13(2). 33–39.
4.
Khramtsov, Andrey, et al.. (2019). Application of tissue-marking dyes for pathologic examination of surgical and autopsy specimens. Russian Journal of Archive of Pathology. 81(1). 40–40.
5.
Kaverina, Natalya, Anton V. Borovjagin, А. И. Карселадзе, et al.. (2018). Tamoxifen overrides autophagy inhibition in Beclin-1-deficient glioma cells and their resistance to adenovirus-mediated oncolysis via upregulation of PUMA and BAX. Oncogene. 37(46). 6069–6082. 24 indexed citations
6.
Harrell, J. Chuck, Adam D. Pfefferle, Aleix Prat, et al.. (2013). Endothelial-like properties of claudin-low breast cancer cells promote tumor vascular permeability and metastasis. Clinical & Experimental Metastasis. 31(1). 33–45. 40 indexed citations
7.
Jené-Sanz, Alba, Renáta Váraljai, Galina Khramtsova, et al.. (2013). Expression of Polycomb Targets Predicts Breast Cancer Prognosis. Molecular and Cellular Biology. 33(19). 3951–3961. 30 indexed citations
8.
Oluwasola, A O, David Malaka, Andrey Khramtsov, et al.. (2013). Use of Web-based training for quality improvement between a field immunohistochemistry laboratory in Nigeria and its United States–based partner institution. Annals of Diagnostic Pathology. 17(6). 526–530. 4 indexed citations
9.
10.
Sylvester, Brooke E., Dezheng Huo, Andrey Khramtsov, et al.. (2011). Molecular Analysis of Colorectal Tumors within a Diverse Patient Cohort at a Single Institution. Clinical Cancer Research. 18(2). 350–359. 52 indexed citations
11.
Prosperi, Jenifer R., Andrey Khramtsov, Galina Khramtsova, & Kathleen H. Goss. (2011). Apc Mutation Enhances PyMT-Induced Mammary Tumorigenesis. PLoS ONE. 6(12). e29339–e29339. 21 indexed citations
12.
Huo, Dezheng, Stephanie C. Melkonian, Paul J. Rathouz, Andrey Khramtsov, & Olufunmilayo I. Olopade. (2010). Concordance in histological and biological parameters between first and second primary breast cancers. Cancer. 117(5). 907–915. 41 indexed citations
13.
Khramtsov, Andrey, Galina Khramtsova, Maria Tretiakova, et al.. (2010). Wnt/β-Catenin Pathway Activation Is Enriched in Basal-Like Breast Cancers and Predicts Poor Outcome. American Journal Of Pathology. 176(6). 2911–2920. 408 indexed citations
14.
Campbell, Michael J., Nathan Tonlaar, Elisabeth R. Garwood, et al.. (2010). Proliferating macrophages associated with high grade, hormone receptor negative breast cancer and poor clinical outcome. Breast Cancer Research and Treatment. 128(3). 703–711. 218 indexed citations
15.
Ulasov, Ilya V., Adam M. Sonabend, Sumon Nandi, et al.. (2009). Combination of adenoviral virotherapy and temozolomide chemotherapy eradicates malignant glioma through autophagic and apoptotic cell death in vivo. British Journal of Cancer. 100(7). 1154–1164. 58 indexed citations
16.
Khramtsova, Galina, et al.. (2009). The M2/Alternatively Activated Macrophage Phenotype Correlates with Aggressive Histopathologic Features and Poor Clinical Outcome in Early Stage Breast Cancer.. Cancer Research. 69(24_Supplement). 107–107. 11 indexed citations
17.
Ulasov, Ilya V., Zeng B. Zhu, Matthew A. Tyler, et al.. (2007). Survivin-Driven and Fiber-Modified Oncolytic Adenovirus Exhibits Potent Antitumor Activity in Established Intracranial Glioma. Human Gene Therapy. 18(7). 589–602. 100 indexed citations
18.
Khramtsov, Andrey, et al.. (2005). [Tissue microarrays in immunohistochemistry].. PubMed. 67(2). 48–50.
19.
Deyrup, Andrea T., Maria Tretiakova, Andrey Khramtsov, & Anthony Montag. (2004). Estrogen receptor β expression in vascular neoplasia: an analysis of 53 benign and malignant cases. Modern Pathology. 17(11). 1372–1377. 14 indexed citations
20.
Ikpatt, Francis, James J. Dignam, Andrey Khramtsov, et al.. (2004). Breast tumor morphometry in relation to race reveals significant differences among Nigerians, African-Americans and Caucasian Americans. Journal of Clinical Oncology. 22(14_suppl). 9567–9567. 3 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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