Román Fischer

16.4k total citations · 4 hit papers
186 papers, 7.6k citations indexed

About

Román Fischer is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Román Fischer has authored 186 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 25 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Román Fischer's work include Ubiquitin and proteasome pathways (12 papers), DNA Repair Mechanisms (12 papers) and Extracellular vesicles in disease (12 papers). Román Fischer is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), DNA Repair Mechanisms (12 papers) and Extracellular vesicles in disease (12 papers). Román Fischer collaborates with scholars based in United Kingdom, United States and Germany. Román Fischer's co-authors include Benedikt M. Kessler, Simon Davis, Philip D. Charles, Matthew J. Collins, Rebecca Konietzny, Paul Bowness, Marie‐Laëtitia Thézénas, David C. Trudgian, Raphael Heilig and Sarah Bonham and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Román Fischer

174 papers receiving 7.5k citations

Hit Papers

The Immunomodulatory Metabolite Itaconate Modifies N... 2016 2026 2019 2022 2020 2019 2019 2016 100 200 300 400

Peers

Román Fischer
Stephen K. Anderson United States
Ian G. Young Australia
R. White United States
Andrew J.H. Smith United Kingdom
Román Fischer
Citations per year, relative to Román Fischer Román Fischer (= 1×) peers Wilson A. Silva

Countries citing papers authored by Román Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Román Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Román Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Román Fischer. A scholar is included among the top collaborators of Román Fischer 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 Román Fischer. Román Fischer 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.
Mendes, Cláudia C., S. Mark Wainwright, Román Fischer, et al.. (2025). Amyloid-β disrupts APP-regulated protein aggregation and dissociation from recycling endosomal membranes. The EMBO Journal. 44(16). 4443–4472.
2.
Yang, Hongbin, Paul Smith, Francesca M. Buffa, et al.. (2024). Cyclin F–EXO1 axis controls cell cycle–dependent execution of double-strand break repair. Science Advances. 10(32). eado0636–eado0636. 2 indexed citations
4.
Chan, Dedrick Kok Hong, Amit Kumar Mandal, Svenja Hester, et al.. (2023). Biallelic FBXW7 knockout induces AKAP8-mediated DNA damage in neighbouring wildtype cells. Cell Death Discovery. 9(1). 200–200. 2 indexed citations
5.
Ramsøe, Abigail, Meaghan Mackie, Krista McGrath, et al.. (2021). Assessing the degradation of ancient milk proteins through site-specific deamidation patterns. Scientific Reports. 11(1). 7795–7795. 26 indexed citations
6.
Capel, Rebecca A., David A. Priestman, G. Berridge, et al.. (2021). A modified density gradient proteomic-based method to analyze endolysosomal proteins in cardiac tissue. iScience. 24(9). 102949–102949. 4 indexed citations
7.
Redpath, Andia N., Alisha Jones, Jyoti Patel, et al.. (2021). Thymosin β4 protects against aortic aneurysm via endocytic regulation of growth factor signaling. Journal of Clinical Investigation. 131(10). 21 indexed citations
8.
Bálint, Štefan, Sabina Müller, Román Fischer, et al.. (2020). Supramolecular attack particles are autonomous killing entities released from cytotoxic T cells. Science. 368(6493). 897–901. 112 indexed citations
9.
Lee, Regent, Ismail Cassimjee, Honglei Huang, et al.. (2020). Integrated Plasma and Tissue Proteomics Reveals Attractin Release by Intraluminal Thrombus of Abdominal Aortic Aneurysms and Improves Aneurysm Growth Prediction in Humans. Annals of Surgery. 275(6). 1206–1211. 12 indexed citations
10.
Fielden, John, Ignacio Torrecilla, Shudong Li, et al.. (2020). TEX264 coordinates p97- and SPRTN-mediated resolution of topoisomerase 1-DNA adducts. Nature Communications. 11(1). 1274–1274. 73 indexed citations
11.
Heilig, Raphael, Isabel Poschke, Michael Volkmar, et al.. (2020). Phosphoproteomics of CD2 signaling reveals AMPK-dependent regulation of lytic granule polarization in cytotoxic T cells. Science Signaling. 13(631). 22 indexed citations
12.
Hopkins, Ben R., Irem Sepil, Sarah Bonham, et al.. (2019). BMP signaling inhibition in Drosophila secondary cells remodels the seminal proteome and self and rival ejaculate functions. Proceedings of the National Academy of Sciences. 116(49). 24719–24728. 28 indexed citations
13.
Cockman, Matthew E., Kerstin Lippl, Ya‐Min Tian, et al.. (2019). Lack of activity of recombinant HIF prolyl hydroxylases (PHDs) on reported non-HIF substrates. eLife. 8. 75 indexed citations
14.
Halder, Swagata, Ignacio Torrecilla, Martin D. Burkhalter, et al.. (2019). SPRTN protease and checkpoint kinase 1 cross-activation loop safeguards DNA replication. Nature Communications. 10(1). 3142–3142. 35 indexed citations
15.
Chatzifrangkeskou, Maria, Dafni‐Eleftheria Pefani, Iolanda Vendrell, et al.. (2019). RASSF 1A is required for the maintenance of nuclear actin levels. The EMBO Journal. 38(16). e101168–e101168. 32 indexed citations
16.
Buono, Mario, Marie‐Laëtitia Thézénas, Alessandro Ceroni, Román Fischer, & Claus Nerlov. (2018). Bi-directional signaling by membrane-bound KitL induces proliferation and coordinates thymic endothelial cell and thymocyte expansion. Nature Communications. 9(1). 4685–4685. 13 indexed citations
17.
Huang, Honglei, M.Z. Akhtar, Maria Letizia Lo Faro, et al.. (2018). Proteo-metabolomics reveals compensation between ischemic and non-injured contralateral kidneys after reperfusion. Scientific Reports. 8(1). 8539–8539. 46 indexed citations
18.
Zhang, Tianyi, Guifeng Wei, Christopher J. Millard, et al.. (2018). A variant NuRD complex containing PWWP2A/B excludes MBD2/3 to regulate transcription at active genes. Nature Communications. 9(1). 3798–3798. 42 indexed citations
19.
Yuzhalin, Arseniy E., Alex Gordon‐Weeks, Keaton Jones, et al.. (2018). Colorectal cancer liver metastatic growth depends on PAD4-driven citrullination of the extracellular matrix. Nature Communications. 9(1). 4783–4783. 155 indexed citations
20.
Welker, Frido, Mateja Hajdinjak, Sahra Talamo, et al.. (2016). Palaeoproteomic evidence identifies archaic hominins associated with the Châtelperronian at the Grotte du Renne. Proceedings of the National Academy of Sciences. 113(40). 11162–11167. 196 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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