Thomas Penz

3.6k citations
28 papers · 1.1k · h-index 18

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Protist diversity and phylogeny 3
    • Protein Degradation and Inhibitors 2
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 3

Thomas Penz

27 papers receiving 1.1k citations

Peers

Thomas Penz
Comparison fields: 5 of 118
  • Endocrinology 118
  • Microbiology 122
  • Horticulture 14
  • Insect Science 157
  • Structural Biology 16
Replace Tobias Paprotka with:
Tobias Paprotka Germany
Jacques d’Alayer France
Christian Zwieb United States
Theresa L. Giesler United States
Silvi Rouskin United States
Avigail Stokar-Avihail Israel
Monika Reuter Germany
Serguei G. Popov United States
Dhana G. Gorasia Australia
Jan Kieleczawa United States
Thomas Penz relative to Tobias Paprotka Germany Tobias Paprotka's profile →
Citations per field
00.5×2.9×
Tobias Paprotka · 1×
Citations per year

Countries citing papers authored by Thomas Penz

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Penz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015177
2 2011152
3 2017117
4 2012111
5 201991
6 202064
7 202146
8 201437
9 201736
10 202033
11 201633
12 200831
13 201624
14 201023
15 202022
16 201722
17 201120
18 201119
19 202117
20 201616

About Thomas Penz

Thomas Penz is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Insect Science and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (4 papers), Single-cell and spatial transcriptomics (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Protist diversity and phylogeny (3 papers), Parasitic Infections and Diagnostics (3 papers), Protein Degradation and Inhibitors (2 papers) and Veterinary medicine and infectious diseases (2 papers). The work is most often cited by research in Endocrinology (118 citations), Microbiology (122 citations), Horticulture (14 citations), Insect Science (157 citations) and Structural Biology (16 citations). Thomas Penz has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Matthias Horn, Christoph Bock, Stephan Schmitz‐Esser, Stefan Kubicek, Matthias Farlik, Johanna Klughammer, Jin Li, Andreas Spittler, Ekaterine Berishvili and Charlotte Barbieux. Their work appears in journals such as Journal of Bacteriology, Virulence, Nature Genetics, BMJ Open and Journal of Autoimmunity.

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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