Gorbatchev Ambroise

12 total papers · 524 total citations
9 papers, 345 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 345 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), Ubiquitin and proteasome pathways (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). Gorbatchev Ambroise is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). Gorbatchev Ambroise collaborates with scholars based in Sweden, France and Spain. Gorbatchev Ambroise's co-authors include Amanda Tomie Ouchida, Helin Vakifahmetoglu-Norberg, Erik Norberg, Boxi Zhang, Adi Zheng, Per Hydbring, Michel Goiny, Aimé Vázquez, Patricia Müller and Marcin Iwanicki 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 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gorbatchev Ambroise 242 138 91 45 25 9 345
Haywood L. Waters 256 1.1× 134 1.0× 82 0.9× 24 0.5× 14 0.6× 13 393
Mitsuhiro Kitagawa 244 1.0× 84 0.6× 35 0.4× 39 0.9× 19 0.8× 10 376
Sami Benzina 221 0.9× 127 0.9× 62 0.7× 35 0.8× 6 0.2× 17 340
Lawrence N. Barrera 213 0.9× 81 0.6× 80 0.9× 35 0.8× 11 0.4× 13 381
R. Bauer-Hofmann 241 1.0× 112 0.8× 163 1.8× 47 1.0× 7 0.3× 11 376
Eylem Kulkoyluoglu‐Cotul 220 0.9× 149 1.1× 81 0.9× 22 0.5× 17 0.7× 13 375
Gennifer D. Goode 232 1.0× 167 1.2× 115 1.3× 23 0.5× 16 0.6× 9 380
Dominique Müehlematter 215 0.9× 84 0.6× 38 0.4× 16 0.4× 23 0.9× 8 357
Renata Colla 232 1.0× 66 0.5× 38 0.4× 19 0.4× 29 1.2× 6 362
Andrea L. Merz 195 0.8× 62 0.4× 115 1.3× 47 1.0× 9 0.4× 14 383

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

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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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2026