Florian Prinz

16 papers receiving 1.5k citations

Hit Papers

Believe it or not: how much can we rely on published data on potential drug targets? 2011 · 1.1k citations
1.1k20112026201620212505007501000

Peers

Florian Prinz
Comparison fields: 5 of 167
  • Statistics, Probability and Uncertainty 270
  • Biophysics 142
  • Small Animals 177
  • Information Systems and Management 118
  • Health Informatics 18
Replace Thomas Schlange with:
Thomas Schlange Germany
Elizabeth Iorns United States
Stylianos Serghiou United States
Nicole Vasilevsky United States
L. Michelle Bennett United States
Jennifer Couzin-Frankel
Erika Check Hayden United States
Mike Rossner United States
Michael Hay Australia
Jesse Rosenthal United States
Florian Prinz relative to Thomas Schlange Germany Thomas Schlange's profile →
Citations per field
00.5×1.5×
Thomas Schlange · 1×
Citations per year

Countries citing papers authored by Florian Prinz

Since Specialization
Citations

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

Fields of papers citing papers by Florian Prinz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Prinz, 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 Prinz Line = papers co-authored together Florian Prinz links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20231
2 20231
3 20234
4 20214
5 202040
6 201913
7 201932
8 20181
9 20168
10 2014193
11 201217
12 201212
13
Believe it or not: how much can we rely on published data on potential drug targets?
Hit paper breakdown →
20111127
14 200251
15 199948
16 199984

About Florian Prinz

Florian Prinz is a scholar working on Biological Psychiatry, Physiology, Cancer Research, Immunology and Oncology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Viral Infections and Outbreaks Research (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), RNA modifications and cancer (2 papers), Phagocytosis and Immune Regulation (2 papers), Tryptophan and brain disorders (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (270 citations), Biophysics (142 citations), Small Animals (177 citations), Information Systems and Management (118 citations) and Health Informatics (18 citations). Florian Prinz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Schlange, Khusru Asadullah, Martin Spiegel, Michael Bitzer, Michael Gregor, Ulrich M. Lauer, Wolfgang J. Neubert, Klaus Schulze‐Osthoff, Patrick Steigemann and Stephan Gründemann. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Molecular Cell, Journal of Medicinal Chemistry and Experimental Cell Research.

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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