Anne Schaefer

9.2k total citations · 2 hit papers
34 papers, 4.3k citations indexed

About

Anne Schaefer is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Anne Schaefer has authored 34 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Neurology and 10 papers in Immunology. Recurrent topics in Anne Schaefer's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Epigenetics and DNA Methylation (5 papers). Anne Schaefer is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Epigenetics and DNA Methylation (5 papers). Anne Schaefer collaborates with scholars based in United States, Germany and Japan. Anne Schaefer's co-authors include Eric Meffre, Michel C. Nussenzweig, Hedda Wardemann, Sergey Yurasov, James W. Young, Robert B. Painter, L.A. Papile, Dónal O’Carroll, Pinar Ayata and Ana Badimon and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Anne Schaefer

34 papers receiving 4.2k citations

Hit Papers

Predominant Autoantibody Production by Early H... 1983 2026 1997 2011 2003 1983 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Schaefer United States 22 1.7k 1.6k 567 557 553 34 4.3k
Susan M. Staugaitis United States 38 1.4k 0.8× 1.2k 0.7× 1.4k 2.5× 232 0.4× 156 0.3× 79 5.2k
Gerald V. Raymond United States 46 5.1k 3.1× 505 0.3× 458 0.8× 681 1.2× 970 1.8× 137 7.2k
Alexander G. Bassuk United States 37 2.4k 1.4× 505 0.3× 163 0.3× 270 0.5× 1.0k 1.9× 153 4.4k
Michael N. Hart United States 34 1.0k 0.6× 694 0.4× 850 1.5× 189 0.3× 132 0.2× 101 4.1k
Arif B. Ekici Germany 42 2.6k 1.6× 779 0.5× 172 0.3× 92 0.2× 1.6k 2.8× 195 5.1k
Anatoli S. Gleiberman United States 32 3.4k 2.0× 837 0.5× 106 0.2× 438 0.8× 1.5k 2.7× 63 6.2k
Odile Boespflug‐Tanguy France 42 3.7k 2.2× 585 0.4× 854 1.5× 142 0.3× 839 1.5× 193 5.8k
Eric F. Wawrousek United States 44 4.2k 2.5× 1.0k 0.6× 438 0.8× 416 0.7× 624 1.1× 101 6.1k
Douglas S. Annis United States 33 1.6k 1.0× 558 0.3× 239 0.4× 146 0.3× 339 0.6× 72 3.7k
Marianna Bugiani Netherlands 34 2.5k 1.5× 361 0.2× 691 1.2× 130 0.2× 273 0.5× 134 3.9k

Countries citing papers authored by Anne Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Anne Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Schaefer

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Schaefer. A scholar is included among the top collaborators of Anne Schaefer 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 Anne Schaefer. Anne Schaefer 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.
Ceasrine, Alexis M., et al.. (2025). Excitatory-neuron-derived interleukin-34 supports cortical developmental microglia function. Immunity. 58(8). 1948–1965.e6. 3 indexed citations
2.
Benoıst, Christophe, Staci D. Bilbo, Lisa M. Boulanger, et al.. (2025). Systems neuroimmunology: current bottlenecks, research priorities and future directions. Nature Immunology. 26(3). 325–329. 4 indexed citations
3.
Faust, Travis E., M BOYLE, Georgia Gunner, et al.. (2025). Microglia-astrocyte crosstalk regulates synapse remodeling via Wnt signaling. Cell. 188(19). 5212–5230.e21. 1 indexed citations
4.
Fu, Zhongxiao, Mallikarjunarao Ganesana, Philip Hwang, et al.. (2025). Microglia modulate the cerebrovascular reactivity through ectonucleotidase CD39. Nature Communications. 16(1). 956–956. 8 indexed citations
5.
Hashimoto, Akari, Nanami Kawamura, Etsuko Tarusawa, et al.. (2023). Microglia enable cross-modal plasticity by removing inhibitory synapses. Cell Reports. 42(5). 112383–112383. 17 indexed citations
6.
Faust, Travis E., Philip A. Feinberg, Christopher M. O’Connor, et al.. (2023). A comparative analysis of microglial inducible Cre lines. Cell Reports. 42(9). 113031–113031. 41 indexed citations
7.
Pai, Balagopal, Jessica Tomé-García, German Nudelman, et al.. (2022). High-resolution transcriptomics informs glial pathology in human temporal lobe epilepsy. Acta Neuropathologica Communications. 10(1). 149–149. 20 indexed citations
8.
Ayata, Pinar & Anne Schaefer. (2020). Innate sensing of mechanical properties of brain tissue by microglia. Current Opinion in Immunology. 62. 123–130. 32 indexed citations
9.
Gunner, Georgia, Lucas Cheadle, Kasey M. Johnson, et al.. (2019). Sensory lesioning induces microglial synapse elimination via ADAM10 and fractalkine signaling. Nature Neuroscience. 22(7). 1075–1088. 216 indexed citations
10.
Ayata, Pinar, Ana Badimon, Sarah Montgomery, et al.. (2018). Epigenetic regulation of brain region-specific microglia clearance activity. Nature Neuroscience. 21(8). 1049–1060. 324 indexed citations
11.
Cholewa-Waclaw, Justyna, Adrian Bird, Anne Schaefer, et al.. (2016). The Role of Epigenetic Mechanisms in the Regulation of Gene Expression in the Nervous System. Journal of Neuroscience. 36(45). 11427–11434. 94 indexed citations
12.
Lyons, David, Angeliki Magklara, Srihari C. Sampath, et al.. (2014). Heterochromatin-Mediated Gene Silencing Facilitates the Diversification of Olfactory Neurons. Cell Reports. 9(3). 884–892. 54 indexed citations
13.
Maze, Ian, Dipesh Chaudhury, David Dietz, et al.. (2014). G9a influences neuronal subtype specification in striatum. Nature Neuroscience. 17(4). 533–539. 64 indexed citations
14.
Gao, Zhonghua, et al.. (2014). An AUTS2–Polycomb complex activates gene expression in the CNS. Nature. 516(7531). 349–354. 229 indexed citations
15.
O’Carroll, Dónal & Anne Schaefer. (2012). General Principals of miRNA Biogenesis and Regulation in the Brain. Neuropsychopharmacology. 38(1). 39–54. 166 indexed citations
16.
Schaefer, Anne, Srihari C. Sampath, Alice K. Min, et al.. (2009). Control of Cognition and Adaptive Behavior by the GLP/G9a Epigenetic Suppressor Complex. Neuron. 64(5). 678–691. 249 indexed citations
17.
Wardemann, Hedda, Sergey Yurasov, Anne Schaefer, et al.. (2003). Predominant Autoantibody Production by Early Human B Cell Precursors. Science. 301(5638). 1374–1377. 1518 indexed citations breakdown →
18.
Schaefer, Anne, Marek Jasiński, & Monica Bessler. (2003). High‐dose cyclophosphamide does not eradicate paroxysmal nocturnal haemoglobinuria haematopoiesis in mice carrying a Piga gene mutation. British Journal of Haematology. 120(5). 903–906. 1 indexed citations
19.
Bessler, Monica, Anne Schaefer, & Peter E. Keller. (2001). Paroxysmal nocturnal hemoglobinuria: Insights from recent advances in molecular biology1. Transfusion Medicine Reviews. 15(4). 255–267. 21 indexed citations
20.
Papile, L.A., et al.. (1983). Relationship of cerebral intraventricular hemorrhage and early childhood neurologic handicaps. The Journal of Pediatrics. 103(2). 273–277. 413 indexed citations breakdown →

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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