Fridolin Groß

923 total citations
28 papers, 549 citations indexed

About

Fridolin Groß is a scholar working on Molecular Biology, Cell Biology and History and Philosophy of Science. According to data from OpenAlex, Fridolin Groß has authored 28 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in History and Philosophy of Science. Recurrent topics in Fridolin Groß's work include Microtubule and mitosis dynamics (9 papers), Gene Regulatory Network Analysis (5 papers) and Philosophy and History of Science (4 papers). Fridolin Groß is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Gene Regulatory Network Analysis (5 papers) and Philosophy and History of Science (4 papers). Fridolin Groß collaborates with scholars based in Germany, Italy and United States. Fridolin Groß's co-authors include Andrea Ciliberto, Elena Chiroli, Ingrid Hoffmann, Ivana Primorac, John R. Weir, Suzan van Gerwen, Ulrich Behn, Pierre‐Luc Germain, Hanspeter Herzel and Adrian T. Saurin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fridolin Groß

27 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fridolin Groß Germany 13 414 238 67 66 45 28 549
Carole L.C. Poon Australia 13 355 0.9× 406 1.7× 46 0.7× 24 0.4× 47 1.0× 15 605
Alison Schuldt United Kingdom 8 363 0.9× 113 0.5× 44 0.7× 46 0.7× 22 0.5× 63 469
George Dialynas United States 12 704 1.7× 162 0.7× 57 0.9× 24 0.4× 32 0.7× 14 768
Saurabh J. Pradhan India 15 453 1.1× 87 0.4× 36 0.5× 53 0.8× 66 1.5× 23 594
Carl A. Stratton United States 8 681 1.6× 79 0.3× 70 1.0× 51 0.8× 36 0.8× 9 776
Thomas M. Huckaba United States 12 504 1.2× 356 1.5× 30 0.4× 23 0.3× 25 0.6× 17 676
Nicolas Tavernier France 11 320 0.8× 200 0.8× 44 0.7× 16 0.2× 86 1.9× 15 414
Angeline M. Lyon United States 11 429 1.0× 121 0.5× 64 1.0× 25 0.4× 22 0.5× 23 505
Marla Tipping United States 9 206 0.5× 128 0.5× 19 0.3× 44 0.7× 28 0.6× 13 350
Aude Pascal France 13 351 0.8× 189 0.8× 34 0.5× 26 0.4× 74 1.6× 23 495

Countries citing papers authored by Fridolin Groß

Since Specialization
Citations

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

Fields of papers citing papers by Fridolin Groß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fridolin Groß

This figure shows the co-authorship network connecting the top 25 collaborators of Fridolin Groß. A scholar is included among the top collaborators of Fridolin Groß 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 Fridolin Groß. Fridolin Groß 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.
Gilardi, Carlotta, Brunno Rocha Levone, Silvia Bicker, et al.. (2025). miR-708-5p is elevated in bipolar patients and can induce mood disorder-associated behavior in mice. EMBO Reports. 26(8). 2121–2145. 2 indexed citations
2.
Dewitte, Antoine, Fridolin Groß, Thomas Pradeu, et al.. (2025). Is “pre-sepsis” the new sepsis? A narrative review. PLoS Pathogens. 21(7). e1013372–e1013372. 1 indexed citations
3.
Chiroli, Elena, et al.. (2025). Evolutionary adaptation to hyperstable microtubules selectively targets tubulins and is empowered by the spindle assembly checkpoint. Cell Reports. 44(2). 115323–115323. 1 indexed citations
4.
Groß, Fridolin. (2024). The Explanatory Role of Machine Learning in Molecular Biology. Erkenntnis. 90(4). 1583–1603. 1 indexed citations
5.
Chiroli, Elena, Fridolin Groß, Stefano Villa, et al.. (2023). Triap1 upregulation promotes escape from mitotic-slippage-induced G1 arrest. Cell Reports. 42(3). 112215–112215. 1 indexed citations
6.
Groß, Fridolin, et al.. (2022). scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction. Bioinformatics. 38(9). 2466–2473. 17 indexed citations
7.
Alexa, Anita, Fridolin Groß, Ádám Póti, et al.. (2022). A non-catalytic herpesviral protein reconfigures ERK-RSK signaling by targeting kinase docking systems in the host. Nature Communications. 13(1). 472–472. 15 indexed citations
8.
Gilardi, Carlotta, Ayse Özge Sungur, Jochen Winterer, et al.. (2022). Bipolar‐associated miR ‐499‐5p controls neuroplasticity by downregulating the Cav1.2 subunit CACNB2. EMBO Reports. 23(10). e54420–e54420. 14 indexed citations
9.
Chiroli, Elena, Fridolin Groß, Ádám Póti, et al.. (2021). Epistasis, aneuploidy, and functional mutations underlie evolution of resistance to induced microtubule depolymerization. The EMBO Journal. 40(22). e108225–e108225. 12 indexed citations
10.
Gapp, Katharina, Guillermo E. Parada, Fridolin Groß, et al.. (2021). Single paternal dexamethasone challenge programs offspring metabolism and reveals multiple candidates in RNA-mediated inheritance. iScience. 24(8). 102870–102870. 22 indexed citations
11.
Chiroli, Elena, Fridolin Groß, Claudio Vernieri, et al.. (2019). Cellular response upon proliferation in the presence of an active mitotic checkpoint. Life Science Alliance. 2(3). e201900380–e201900380. 2 indexed citations
12.
Groß, Fridolin, et al.. (2019). Pluralization through epistemic competition: scientific change in times of data-intensive biology. History & Philosophy of the Life Sciences. 41(1). 1–1. 6 indexed citations
13.
Cordeiro, Marília H., Norman E. Davey, Giulia Vallardi, et al.. (2019). PP1 and PP2A Use Opposite Phospho-dependencies to Control Distinct Processes at the Kinetochore. Cell Reports. 28(8). 2206–2219.e8. 41 indexed citations
14.
Groß, Fridolin, et al.. (2018). Implications of alternative routes to APC/C inhibition by the mitotic checkpoint complex. PLoS Computational Biology. 14(9). e1006449–e1006449. 10 indexed citations
15.
Chiroli, Elena, Fridolin Groß, Claudio Vernieri, et al.. (2017). Cells Escape an Operational Mitotic Checkpoint through a Stochastic Process. Current Biology. 28(1). 28–37.e7. 14 indexed citations
16.
Groß, Fridolin & Miles MacLeod. (2017). Prospects and problems for standardizing model validation in systems biology. Progress in Biophysics and Molecular Biology. 129. 3–12. 8 indexed citations
17.
Groß, Fridolin, Heike Stephanowitz, Melanie Weber, et al.. (2016). Identification of Novel Nuclear Factor of Activated T Cell (NFAT)-associated Proteins in T Cells. Journal of Biological Chemistry. 291(46). 24172–24187. 38 indexed citations
18.
Fragola, Giulia, Pierre‐Luc Germain, Pasquale Laise, et al.. (2013). Cell Reprogramming Requires Silencing of a Core Subset of Polycomb Targets. PLoS Genetics. 9(2). e1003292–e1003292. 55 indexed citations
19.
Groß, Fridolin. (2011). What systems biology can tell us about disease.. PubMed. 33(4). 477–96. 12 indexed citations
20.
Groß, Fridolin, et al.. (2010). Mathematical modeling of allergy and specific immunotherapy: Th1–Th2–Treg interactions. Journal of Theoretical Biology. 269(1). 70–78. 41 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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