Marie‐Christine Albert

1.7k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Marie‐Christine Albert is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Marie‐Christine Albert has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in Marie‐Christine Albert's work include Cell death mechanisms and regulation (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Marie‐Christine Albert is often cited by papers focused on Cell death mechanisms and regulation (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Marie‐Christine Albert collaborates with scholars based in Germany, United Kingdom and United States. Marie‐Christine Albert's co-authors include Hamid Kashkar, Saskia Diana Günther, Martin Krönke, Manolis Pasparakis, Fabian Schorn, Melanie Fritsch, Lars M. Schiffmann, Robin Schwarzer, Jens M. Seeger and Mohamed Lamkanfi and has published in prestigious journals such as Nature, Nature Communications and The EMBO Journal.

In The Last Decade

Marie‐Christine Albert

8 papers receiving 1.0k citations

Hit Papers

Caspase-8 is the molecular switch for apoptosis, necropto... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Christine Albert Germany 7 721 312 134 128 116 8 1.0k
Fabian Schorn Germany 7 684 0.9× 358 1.1× 116 0.9× 124 1.0× 114 1.0× 8 1.0k
Charles Drummer United States 17 446 0.6× 477 1.5× 142 1.1× 88 0.7× 96 0.8× 23 1.1k
Keman Xu United States 20 664 0.9× 562 1.8× 149 1.1× 121 0.9× 161 1.4× 46 1.4k
Duen-Yi Huang Taiwan 20 565 0.8× 344 1.1× 139 1.0× 49 0.4× 89 0.8× 41 1.1k
Haiyun Liu United States 16 377 0.5× 420 1.3× 99 0.7× 75 0.6× 121 1.0× 31 1.1k
Rui Feng China 16 386 0.5× 196 0.6× 63 0.5× 76 0.6× 125 1.1× 39 807
Dexi Zhou China 14 430 0.6× 527 1.7× 120 0.9× 77 0.6× 158 1.4× 20 1.1k
Yuchen Wu China 9 446 0.6× 147 0.5× 73 0.5× 103 0.8× 81 0.7× 18 686
Wen Zheng China 17 912 1.3× 143 0.5× 167 1.2× 69 0.5× 170 1.5× 40 1.3k
Hee-Jun Na South Korea 10 475 0.7× 134 0.4× 201 1.5× 64 0.5× 118 1.0× 11 951

Countries citing papers authored by Marie‐Christine Albert

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Christine Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Christine Albert. 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 Marie‐Christine Albert. The network helps show where Marie‐Christine Albert may publish in the future.

Co-authorship network of co-authors of Marie‐Christine Albert

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

All Works

8 of 8 papers shown
1.
Simonis, Alexander, Sebastian J. Theobald, Alvaro Koch, et al.. (2025). Persistent epigenetic memory of SARS-CoV-2 mRNA vaccination in monocyte-derived macrophages. Molecular Systems Biology. 21(4). 341–360. 4 indexed citations
2.
Theobald, Sebastian J., Alexander Simonis, Ulrike Göbel, et al.. (2022). Spleen tyrosine kinase mediates innate and adaptive immune crosstalk in SARS‐CoV‐2 mRNA vaccination. EMBO Molecular Medicine. 14(8). e15888–e15888. 10 indexed citations
3.
Slaats, Gisela G., Lena K. Ebert, Marie‐Christine Albert, et al.. (2022). Primary cilia suppress Ripk3-mediated necroptosis. Cell Death Discovery. 8(1). 477–477. 6 indexed citations
4.
Flores‐Romero, Hector, Marie‐Christine Albert, Louise King, et al.. (2021). BCL‐2‐family protein tBID can act as a BAX‐like effector of apoptosis. The EMBO Journal. 41(2). e108690–e108690. 127 indexed citations
5.
Schiffmann, Lars M., Melanie Fritsch, Saskia Diana Günther, et al.. (2020). Mitochondrial respiration controls neoangiogenesis during wound healing and tumour growth. Nature Communications. 11(1). 53 indexed citations
6.
Albert, Marie‐Christine, Kerstin Brinkmann, Wojciech Pokrzywa, et al.. (2020). CHIP ubiquitylates NOXA and induces its lysosomal degradation in response to DNA damage. Cell Death and Disease. 11(9). 740–740. 9 indexed citations
7.
Fritsch, Melanie, Saskia Diana Günther, Robin Schwarzer, et al.. (2019). Caspase-8 is the molecular switch for apoptosis, necroptosis and pyroptosis. Nature. 575(7784). 683–687. 776 indexed citations breakdown →
8.
Albert, Marie‐Christine, Kerstin Brinkmann, & Hamid Kashkar. (2014). Noxa and cancer therapy. Molecular & Cellular Oncology. 1(1). e29906–e29906. 37 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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