Simon Fischer

3.6k total citations
87 papers, 2.0k citations indexed

About

Simon Fischer is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Simon Fischer has authored 87 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 20 papers in Genetics and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Simon Fischer's work include Viral Infectious Diseases and Gene Expression in Insects (31 papers), RNA Interference and Gene Delivery (13 papers) and Protein purification and stability (11 papers). Simon Fischer is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (31 papers), RNA Interference and Gene Delivery (13 papers) and Protein purification and stability (11 papers). Simon Fischer collaborates with scholars based in Germany, Denmark and Hungary. Simon Fischer's co-authors include Kerstin Otte, René Handrick, Péter L. Lakatos, Felix Grewe, Volker Knoop, Armaz Aschrafi, Gyula Dávid, Zsuzsanna Erdélyi, Gábor Mester and Mihály Balogh and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Cell Science.

In The Last Decade

Simon Fischer

80 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Fischer Germany 27 1.2k 569 210 202 200 87 2.0k
Linda M. Kalikin United States 26 1.7k 1.4× 478 0.8× 235 1.1× 92 0.5× 128 0.6× 52 2.7k
Mikiko Soejima Japan 27 1.0k 0.9× 423 0.7× 186 0.9× 264 1.3× 168 0.8× 111 2.1k
He Wang China 24 691 0.6× 294 0.5× 171 0.8× 184 0.9× 147 0.7× 95 1.5k
Shai Cohen Israel 17 659 0.6× 228 0.4× 144 0.7× 375 1.9× 119 0.6× 65 1.4k
Jir̆ı́ Drábek Czechia 20 531 0.4× 279 0.5× 160 0.8× 195 1.0× 217 1.1× 84 1.5k
Yoshio Yoshida Japan 28 591 0.5× 305 0.5× 281 1.3× 132 0.7× 314 1.6× 185 2.6k
Andrew J. Rainbow Canada 27 1.4k 1.2× 429 0.8× 385 1.8× 155 0.8× 70 0.3× 98 2.6k
Filipa Carvalho Portugal 26 1.3k 1.1× 912 1.6× 112 0.5× 292 1.4× 281 1.4× 83 2.8k
Steven D. Carson United States 30 965 0.8× 510 0.9× 243 1.2× 406 2.0× 431 2.2× 96 2.9k
Maria Sjölund Sweden 17 872 0.7× 219 0.4× 153 0.7× 382 1.9× 455 2.3× 27 2.2k

Countries citing papers authored by Simon Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Simon Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Fischer. A scholar is included among the top collaborators of Simon 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 Simon Fischer. Simon 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.
Waerner, Thomas, et al.. (2025). Polysorbates degrading enzymes in biotherapeutics – a current status and future perspectives. Frontiers in Bioengineering and Biotechnology. 12. 1490276–1490276. 3 indexed citations
2.
Fischer, Simon, et al.. (2024). Nature as blueprint: Global phenotype engineering of CHO production cells based on a multi-omics comparison with plasma cells. Metabolic Engineering. 83. 110–122. 5 indexed citations
3.
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Fischer, Simon, et al.. (2020). Pre-stage perfusion and ultra-high seeding cell density in CHO fed-batch culture: a case study for process intensification guided by systems biotechnology. Bioprocess and Biosystems Engineering. 43(8). 1431–1443. 39 indexed citations
5.
Fischer, Simon, René Handrick, Patrick Schulz, et al.. (2018). Visualisation of intracellular production bottlenecks in suspension-adapted CHO cells producing complex biopharmaceuticals using fluorescence microscopy. Journal of Biotechnology. 271. 47–55. 25 indexed citations
6.
Schneider, Helga, et al.. (2017). miR-217-5p induces apoptosis by directly targeting PRKCI, BAG3, ITGAV and MAPK1 in colorectal cancer cells. Journal of Cell Communication and Signaling. 12(2). 451–466. 46 indexed citations
7.
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Fischer, Simon, Matthias Hackl, Johannes Grillari, et al.. (2015). Enhanced protein production by microRNA-30 family in CHO cells is mediated by the modulation of the ubiquitin pathway. Journal of Biotechnology. 212. 32–43. 27 indexed citations
10.
Fischer, Simon, René Handrick, & Kerstin Otte. (2015). The art of CHO cell engineering: A comprehensive retrospect and future perspectives. Biotechnology Advances. 33(8). 1878–1896. 227 indexed citations
11.
Fischer, Simon, et al.. (2015). Horsetails are the sister group to all other monilophytes and Marattiales are sister to leptosporangiate ferns. Molecular Phylogenetics and Evolution. 90. 140–149. 47 indexed citations
12.
Fischer, Simon, et al.. (2014). A functional high‐content miRNA screen identifies miR‐30 family to boost recombinant protein production in CHO cells. Biotechnology Journal. 9(10). 1279–1292. 56 indexed citations
13.
Fischer, Simon, et al.. (2012). Transient recombinant protein expression in a human amniocyte cell line: The CAP‐T® cell system. Biotechnology and Bioengineering. 109(9). 2250–2261. 28 indexed citations
14.
Pitner, William R., et al.. (2011). Identification of suitable ionic liquids for application in the enzymatic hydrolysis of rutin by an automated screening. Applied Microbiology and Biotechnology. 93(6). 2301–2308. 1 indexed citations
15.
Lakatos, Péter L., I Altorjay, Yvette Mándi, et al.. (2008). Interaction between seroreactivity to microbial antigens and genetics in Crohn’s disease: is there a role for defensins?. Tissue Antigens. 71(6). 552–559. 18 indexed citations
16.
Kocsis, Ágnes K., Péter L. Lakatos, Ferenc Somogyvári, et al.. (2008). Association of beta-defensin 1 single nucleotide polymorphisms with Crohn's disease. Scandinavian Journal of Gastroenterology. 43(3). 299–307. 60 indexed citations
17.
Höfner, Peter, Ferenc Nagy, Péter L. Lakatos, et al.. (2007). NOD1 gene E266K polymorphism is associated with disease susceptibility but not with disease phenotype or NOD2/CARD15 in Hungarian patients with Crohn's disease. Digestive and Liver Disease. 39(12). 1064–1070. 32 indexed citations
18.
Lakatos, Péter L., Erika Hitre, Ferenç Szalay, et al.. (2007). Common NOD2/CARD15 variants are not associated with susceptibility or the clinicopathologic characteristics of sporadic colorectal cancer in Hungarian patients. BMC Cancer. 7(1). 54–54. 26 indexed citations
19.
Fischer, Simon & Eva Balslev. (1989). Vascular protein deposits in temporal arteritis with special reference to failure of histological findings. Apmis. 97(7-12). 1125–1132. 1 indexed citations
20.
Fischer, Simon & Lise L. Christensen. (1988). Immunohistochemical study of intimal protein deposits in the aging vascular wall of normo- and hypertensive patients. Atherosclerosis. 73(2-3). 161–172. 6 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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