Galina Khramtsova

2.3k total citations
34 papers, 1.5k citations indexed

About

Galina Khramtsova is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Galina Khramtsova has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Galina Khramtsova's work include Cancer Genomics and Diagnostics (6 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer-related gene regulation (4 papers). Galina Khramtsova is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer-related gene regulation (4 papers). Galina Khramtsova collaborates with scholars based in United States, Nigeria and United Kingdom. Galina Khramtsova's co-authors include Olufunmilayo I. Olopade, Kathleen H. Goss, Andrey Khramtsov, Dezheng Huo, Maria Tretiakova, Sam C. Nalle, Jerrold R. Turner, Gurminder Singh, E.S. Turner and Ekaterina Khramtsova and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Gastroenterology.

In The Last Decade

Galina Khramtsova

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Galina Khramtsova United States 16 844 438 272 201 181 34 1.5k
Ruchika Gangwar India 26 867 1.0× 263 0.6× 372 1.4× 107 0.5× 147 0.8× 36 1.4k
Wei Ding China 22 935 1.1× 323 0.7× 198 0.7× 88 0.4× 144 0.8× 66 1.6k
Jean McBryan Ireland 20 528 0.6× 384 0.9× 238 0.9× 361 1.8× 74 0.4× 27 1.2k
Takeshi Iwamura Japan 22 1.1k 1.3× 697 1.6× 444 1.6× 102 0.5× 260 1.4× 44 2.0k
Guowei Chen China 23 670 0.8× 231 0.5× 329 1.2× 77 0.4× 103 0.6× 67 1.3k
Nikki P.Y. Lee Hong Kong 26 1.2k 1.5× 273 0.6× 374 1.4× 216 1.1× 118 0.7× 34 2.4k
Jian Wu China 21 956 1.1× 474 1.1× 255 0.9× 113 0.6× 309 1.7× 91 1.7k
Ping Wu China 24 538 0.6× 167 0.4× 352 1.3× 122 0.6× 466 2.6× 66 1.5k
Randa El‐Zein United States 27 1.2k 1.4× 529 1.2× 678 2.5× 217 1.1× 171 0.9× 70 2.2k
Chun‐Ping Cui China 24 1.2k 1.5× 338 0.8× 426 1.6× 108 0.5× 209 1.2× 61 1.7k

Countries citing papers authored by Galina Khramtsova

Since Specialization
Citations

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

Fields of papers citing papers by Galina Khramtsova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galina Khramtsova

This figure shows the co-authorship network connecting the top 25 collaborators of Galina Khramtsova. A scholar is included among the top collaborators of Galina Khramtsova 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 Galina Khramtsova. Galina Khramtsova 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.
Rajagopal, Padma Sheila, Jeffrey Mueller, Galina Khramtsova, et al.. (2024). The VEGF-Hypoxia Signature Is Upregulated in Basal-like Breast Tumors from Women of African Ancestry and Associated with Poor Outcomes in Breast Cancer. Clinical Cancer Research. 30(11). 2609–2618. 7 indexed citations
2.
Howard, Frederick M., Siddhi Ramesh, James M. Dolezal, et al.. (2024). Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Science Advances. 10(46). eadq0856–eadq0856. 8 indexed citations
3.
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
4.
5.
Howard, Frederick M., James M. Dolezal, Sara Kochanny, et al.. (2023). Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. npj Breast Cancer. 9(1). 25–25. 30 indexed citations
6.
Khramtsova, Galina, et al.. (2022). Immunohistochemical Study and Clinicopathologic Correlation of Cox-2 and Her-2 Expression in Colorectal Carcinoma: A 5-Year Retrospective Study.. PubMed. 39(11). 1134–1140. 1 indexed citations
7.
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
8.
9.
Zhao, Fangyuan, Qun Niu, Fang Liu, et al.. (2020). Racial disparities in survival outcomes among breast cancer patients by molecular subtypes. Breast Cancer Research and Treatment. 185(3). 841–849. 26 indexed citations
10.
Wu, Longtao, Clayton D. Crawley, Andrea Garofalo, et al.. (2020). p50 mono-ubiquitination and interaction with BARD1 regulates cell cycle progression and maintains genome stability. Nature Communications. 11(1). 5007–5007. 10 indexed citations
11.
Xiao, Gu, Viola Ellison, Alla Polotskaia, et al.. (2019). Gain-of-Function Mutant p53 R273H Interacts with Replicating DNA and PARP1 in Breast Cancer. Cancer Research. 80(3). 394–405. 47 indexed citations
12.
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.
13.
Tiwari, Payal, Chang Cui, Kelly Q. Schoenfelt, et al.. (2019). Metabolically activated adipose tissue macrophages link obesity to triple-negative breast cancer. The Journal of Experimental Medicine. 216(6). 1345–1358. 93 indexed citations
14.
Yeh, Albert C., Hui Li, Yitan Zhu, et al.. (2019). Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 19(1). 48–48. 62 indexed citations
15.
Dutta, Anindita, Galina Khramtsova, Donee Alexander, et al.. (2017). Household air pollution and chronic hypoxia in the placenta of pregnant Nigerian women: A randomized controlled ethanol Cookstove intervention. The Science of The Total Environment. 619-620. 212–220. 28 indexed citations
16.
Nanda, Rita, Erica Stringer-Reasor, Masha Kocherginsky, et al.. (2016). A randomized phase I trial of nanoparticle albumin-bound paclitaxel with or without mifepristone for advanced breast cancer. SpringerPlus. 5(1). 947–947. 30 indexed citations
17.
Shy, Brian R., Galina Khramtsova, Jenny Y. Zhang, et al.. (2013). Regulation of Tcf7l1 DNA Binding and Protein Stability as Principal Mechanisms of Wnt/β-Catenin Signaling. Cell Reports. 4(1). 1–9. 96 indexed citations
18.
Su, Liping, Sam C. Nalle, Le Shen, et al.. (2013). TNFR2 Activates MLCK-Dependent Tight Junction Dysregulation to Cause Apoptosis-Mediated Barrier Loss and Experimental Colitis. Gastroenterology. 145(2). 407–415. 309 indexed citations
19.
Baretta, Zora, Rodrigo Santa Cruz Guindalini, Galina Khramtsova, & Olufunmilayo I. Olopade. (2012). Resistance to Trastuzumab in HER2-Positive Mucinous Invasive Ductal Breast Carcinoma. Clinical Breast Cancer. 13(2). 156–158. 16 indexed citations
20.
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

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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