Gorbatchev Ambroise

526 total citations
9 papers, 347 citations indexed

About

Gorbatchev Ambroise is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gorbatchev Ambroise has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Gorbatchev Ambroise's work include Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (2 papers). Gorbatchev Ambroise is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ubiquitin and proteasome pathways (2 papers). Gorbatchev Ambroise collaborates with scholars based in Sweden, France and Spain. Gorbatchev Ambroise's co-authors include Helin Vakifahmetoglu-Norberg, Amanda Tomie Ouchida, Erik Norberg, Boxi Zhang, Adi Zheng, Per Hydbring, Michel Goiny, Aimé Vázquez, Marcin Iwanicki and Alfredo Giménez-Cassina and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and British Journal of Cancer.

In The Last Decade

Gorbatchev Ambroise

9 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gorbatchev Ambroise Sweden 9 243 139 91 45 25 9 347
Xinghua Yuan China 12 278 1.1× 81 0.6× 167 1.8× 97 2.2× 22 0.9× 30 494
Robert Dullea United States 10 281 1.2× 86 0.6× 54 0.6× 28 0.6× 16 0.6× 14 479
Sami Benzina France 11 221 0.9× 127 0.9× 62 0.7× 35 0.8× 6 0.2× 17 341
Hongbing Ma China 11 328 1.3× 224 1.6× 50 0.5× 30 0.7× 20 0.8× 20 458
Lawrence N. Barrera United Kingdom 12 215 0.9× 83 0.6× 80 0.9× 35 0.8× 12 0.5× 13 386
Zixiang Zhang China 13 151 0.6× 86 0.6× 179 2.0× 38 0.8× 9 0.4× 25 424
Aloran Mazumder South Korea 13 279 1.1× 65 0.5× 96 1.1× 34 0.8× 10 0.4× 25 435
Xuezhen Zeng China 12 220 0.9× 90 0.6× 155 1.7× 64 1.4× 12 0.5× 18 474
Yoshihiko Shibayama Japan 11 239 1.0× 144 1.0× 139 1.5× 23 0.5× 19 0.8× 26 445
Rahat Jahan United States 9 161 0.7× 49 0.4× 105 1.2× 17 0.4× 29 1.2× 14 280

Countries citing papers authored by Gorbatchev Ambroise

Since Specialization
Citations

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

Fields of papers citing papers by Gorbatchev Ambroise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gorbatchev Ambroise

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

All Works

9 of 9 papers shown
1.
Ambroise, Gorbatchev, Tingting Yu, Boxi Zhang, et al.. (2020). Systematic analysis reveals a functional role for STAMBPL1 in the epithelial–mesenchymal transition process across multiple carcinomas. British Journal of Cancer. 123(7). 1164–1177. 16 indexed citations
3.
Ouchida, Amanda Tomie, Adi Zheng, Gorbatchev Ambroise, et al.. (2018). USP10 regulates the stability of the EMT-transcription factor Slug/SNAI2. Biochemical and Biophysical Research Communications. 502(4). 429–434. 35 indexed citations
4.
Zhang, Boxi, Adi Zheng, Per Hydbring, et al.. (2017). PHGDH Defines a Metabolic Subtype in Lung Adenocarcinomas with Poor Prognosis. Cell Reports. 19(11). 2289–2303. 123 indexed citations
5.
Ambroise, Gorbatchev, Amanda Tomie Ouchida, Alfredo Giménez-Cassina, et al.. (2017). Effect of Mutant p53 Proteins on Glycolysis and Mitochondrial Metabolism. Molecular and Cellular Biology. 37(24). 77 indexed citations
6.
García‐Cano, Jesús, Gorbatchev Ambroise, M. Carmen Carrión, et al.. (2015). Exploiting the potential of autophagy in cisplatin therapy: A new strategy to overcome resistance. Oncotarget. 6(17). 15551–15565. 39 indexed citations
7.
Ambroise, Gorbatchev, et al.. (2015). Subcellular localization of PUMA regulates its pro-apoptotic activity in Burkitt's lymphoma B cells. Oncotarget. 6(35). 38181–38194. 15 indexed citations
8.
Benarba, Bachir, et al.. (2012). Aristolochia longa aqueous extract triggers the mitochondrial pathway of apoptosis in BL41 Burkitt’s lymphoma cells. International Journal of Green Pharmacy. 6(1). 45. 12 indexed citations
9.
Benarba, Bachir, et al.. (2012). Aristolochia longa aqueous extract triggers the mitochondrial pathway of apoptosis in BL41 Burkitt′s lymphoma cells. International Journal of Green Pharmacy. 6(1). 45–45. 21 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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