Florian Aeschimann

1.4k citations
17 papers · 907 indexed · h-index 13

Impact in

Papers in

Florian Aeschimann

16 papers receiving 903 citations

Peers

Florian Aeschimann
Comparison fields: 5 of 77
  • Aging 206
  • Endocrine and Autonomic Systems 79
  • Molecular Biology 738
  • Cancer Research 133
  • Cell Biology 41
Replace Christopher M. Hammell with:
Christopher M. Hammell United States
Vipin T. Sreedharan Germany
Xantha Karp United States
Tory Herman United States
Aaron M. Kershner United States
Kohta Ikegami United States
Sean P. Ryder United States
Marc D. Perry Canada
Christopher A. Shelton United States
Masamitsu Fukuyama Japan
Florian Aeschimann relative to Christopher M. Hammell United States Christopher M. Hammell's profile →
Citations per field
00.5×2.7×
Christopher M. Hammell · 1×
Citations per year

Countries citing papers authored by Florian Aeschimann

Since Specialization
Citations

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

Fields of papers citing papers by Florian Aeschimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Aeschimann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Aeschimann Line = papers co-authored together Florian Aeschimann links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20250
2 20242
3 202421
4 20241
5 20209
6 202014
7 201923
8 201836
9 201842
10 201846
11 201773
12 201757
13 201752
14 201533
15 2014137
16 2013171
17 2011190

About Florian Aeschimann

Florian Aeschimann is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Oncology and Genetics, having authored 17 papers that have together received 907 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Aging (206 citations), Endocrine and Autonomic Systems (79 citations), Molecular Biology (738 citations), Cancer Research (133 citations) and Cell Biology (41 citations). Florian Aeschimann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Helge Großhans, Dimos Gaidatzis, Hasmik Yepiskoposyan, Oliver Mühlemann, Daniel Nilsson, Michał Okoniewski, Gert‐Jan Hendriks, Christoph Dieterich, Jan Weiler and Nicole Meisner‐Kober. Their work appears in journals such as The EMBO Journal, Nature Communications, eLife, Molecular Cell and Methods.

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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