Regina Feederle

9.0k total citations
118 papers, 5.4k citations indexed

About

Regina Feederle is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Regina Feederle has authored 118 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Oncology, 47 papers in Molecular Biology and 24 papers in Immunology. Recurrent topics in Regina Feederle's work include Viral-associated cancers and disorders (36 papers), Cytomegalovirus and herpesvirus research (17 papers) and Parvovirus B19 Infection Studies (15 papers). Regina Feederle is often cited by papers focused on Viral-associated cancers and disorders (36 papers), Cytomegalovirus and herpesvirus research (17 papers) and Parvovirus B19 Infection Studies (15 papers). Regina Feederle collaborates with scholars based in Germany, United Kingdom and United States. Regina Feederle's co-authors include Henri‐Jacques Delecluse, Helmut Bannert, Wolfgang Hammerschmidt, Bryan R. Cullen, Andrew Flatley, Katharina Bernhardt, Bernhard Neuhierl, Olaf Klinke, Ming‐Han Tsai and Aloys Schepers and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Regina Feederle

115 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Regina Feederle Germany 42 2.4k 2.0k 1.3k 1.2k 838 118 5.4k
Miguel A. Alonso Spain 47 795 0.3× 3.2k 1.6× 1.2k 0.9× 386 0.3× 553 0.7× 155 6.2k
Karen Miller United States 32 1.2k 0.5× 2.3k 1.1× 621 0.5× 325 0.3× 1.1k 1.3× 67 5.1k
Masato Okada Japan 52 1.4k 0.6× 6.2k 3.1× 2.5k 2.0× 496 0.4× 882 1.1× 226 10.6k
Clare E. Futter United Kingdom 49 1.1k 0.5× 4.7k 2.3× 1.7k 1.3× 785 0.7× 570 0.7× 98 8.3k
Ted Yednock United States 38 1.0k 0.4× 1.9k 0.9× 2.3k 1.7× 367 0.3× 317 0.4× 78 5.9k
Klaus‐Peter Knobeloch Germany 39 1.0k 0.4× 2.5k 1.2× 2.6k 2.0× 630 0.5× 395 0.5× 78 5.3k
Sheila Μ. Thomas United States 35 1.4k 0.6× 6.2k 3.0× 1.3k 1.0× 710 0.6× 655 0.8× 50 9.7k
Stuart H. Orkin United States 38 918 0.4× 5.5k 2.7× 1.9k 1.4× 389 0.3× 744 0.9× 62 8.4k
Bryan A. Ballif United States 40 1.8k 0.7× 7.8k 3.8× 599 0.5× 539 0.5× 1.1k 1.3× 104 10.5k
Sima Lev Israel 43 958 0.4× 5.2k 2.6× 1.2k 0.9× 329 0.3× 597 0.7× 81 8.0k

Countries citing papers authored by Regina Feederle

Since Specialization
Citations

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

Fields of papers citing papers by Regina Feederle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Feederle

This figure shows the co-authorship network connecting the top 25 collaborators of Regina Feederle. A scholar is included among the top collaborators of Regina Feederle 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 Regina Feederle. Regina Feederle 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.
Feederle, Regina, et al.. (2024). The Aurora B-controlled PP1/RepoMan complex determines the spatial and temporal distribution of mitotic H2B S6 phosphorylation. Open Biology. 14(5). 230460–230460. 3 indexed citations
2.
Kellner, Markus, Yuanyu Hu, Lin Lü, et al.. (2024). The Nuclear Speckles Protein SRRM2 Is Exposed on the Surface of Cancer Cells. Cells. 13(18). 1563–1563. 2 indexed citations
3.
Fichtner, Miriam L., Heike Rübsamen, Michaela Smolle, et al.. (2023). Features of Isoforms of Human Soluble TACI. The Journal of Immunology. 211(2). 199–208. 1 indexed citations
4.
Manjula, R., J. Basquin, Regina Feederle, et al.. (2023). Plant MDL proteins synergize with the cytokine MIF at CXCR2 and CXCR4 receptors in human cells. Science Signaling. 16(812). eadg2621–eadg2621. 2 indexed citations
5.
McKenzie, Duncan R., Nourdine Bah, Dmitry S. Ushakov, et al.. (2022). Normality sensing licenses local T cells for innate-like tissue surveillance. Nature Immunology. 23(3). 411–422. 41 indexed citations
6.
7.
Hans, Friederike, Felix von Zweydorf, Regina Feederle, et al.. (2022). Sirtuin-1 sensitive lysine-136 acetylation drives phase separation and pathological aggregation of TDP-43. Nature Communications. 13(1). 1223–1223. 54 indexed citations
8.
Kellner, Markus, Bastian Czogalla, Regina Feederle, et al.. (2022). A Novel Anti-CD73 Antibody That Selectively Inhibits Membrane CD73 Shows Antitumor Activity and Induces Tumor Immune Escape. Biomedicines. 10(4). 825–825. 6 indexed citations
9.
Hoefig, Kai P., Gesine Behrens, Meng Xu, et al.. (2021). Defining the RBPome of primary T helper cells to elucidate higher-order Roquin-mediated mRNA regulation. Nature Communications. 12(1). 5208–5208. 26 indexed citations
10.
Grüner, Katrin, Hannah Thieron, Anja Reinstädler, et al.. (2021). Chemokine-like MDL proteins modulate flowering time and innate immunity in plants. Journal of Biological Chemistry. 296. 100611–100611. 8 indexed citations
11.
Einwich, Angelika, Rabea Bartölke, Petra Bolte, et al.. (2021). Localisation of cryptochrome 2 in the avian retina. Journal of Comparative Physiology A. 208(1). 69–81. 12 indexed citations
12.
Mitra, Sreyoshi, Regina Feederle, Axel Imhof, et al.. (2020). Spt6 is a maintenance factor for centromeric CENP-A. Nature Communications. 11(1). 2919–2919. 29 indexed citations
13.
Jandke, Anett, Daisy Melandri, Leticia Monin, et al.. (2020). Butyrophilin-like proteins display combinatorial diversity in selecting and maintaining signature intraepithelial γδ T cell compartments. Nature Communications. 11(1). 3769–3769. 48 indexed citations
14.
Weskamp, Gisela, Johanna Tüshaus, Daniel Li, et al.. (2020). ADAM17 stabilizes its interacting partner inactive Rhomboid 2 (iRhom2) but not inactive Rhomboid 1 (iRhom1). Journal of Biological Chemistry. 295(13). 4350–4358. 20 indexed citations
15.
Zhou, Qihui, Meike Michaelsen, Samira Parhizkar, et al.. (2019). Active poly‐GA vaccination prevents microglia activation and motor deficits in a C9orf72 mouse model. EMBO Molecular Medicine. 12(2). e10919–e10919. 47 indexed citations
16.
Müller, Stephan A., Torben Mentrup, Merav D. Shmueli, et al.. (2019). Signal peptide peptidase‐like 2c impairs vesicular transport and cleaves SNARE proteins. EMBO Reports. 20(3). 31 indexed citations
17.
Colombo, Alessio, Hung‐En Hsia, Mengzhe Wang, et al.. (2018). Non‐cell‐autonomous function of DR6 in Schwann cell proliferation. The EMBO Journal. 37(7). 14 indexed citations
18.
Feederle, Regina & Aloys Schepers. (2017). Antibodies specific for nucleic acid modifications. RNA Biology. 14(9). 1089–1098. 30 indexed citations
19.
Kleinberger, Gernot, Matthias Brendel, Éva Mracskó, et al.. (2017). The FTD ‐like syndrome causing TREM 2 T66M mutation impairs microglia function, brain perfusion, and glucose metabolism. The EMBO Journal. 36(13). 1837–1853. 144 indexed citations
20.

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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