Florian Puehler

670 citations
18 papers · 540 · h-index 10

Impact in

    • Animal Virus Infections Studies
    • Animal Nutrition and Physiology
    • Coccidia and coccidiosis research
  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Melanoma and MAPK Pathways 2
    • Immune Response and Inflammation 4
    • interferon and immune responses 3
    • Immune Cell Function and Interaction 3

Florian Puehler

16 papers receiving 528 citations

Peers

Florian Puehler
Comparison fields: 5 of 56
  • Animal Science and Zoology 182
  • Immunology 234
  • Microbiology 55
  • Virology 38
  • Epidemiology 162
Replace T Hrabă with:
T Hrabă Czechia
E. Rijke Netherlands
Arna E. Andrews Australia
Harshad R. Thacore United States
Adam J. Karpala Australia
Saravanan Ramakrishnan India
Ingrid Cornax United States
P.C. Powell United States
Manman Dai China
Jack Komisar United States
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Citations per field
00.5×10×13.5×
T Hrabă · 1×
Citations per year

Countries citing papers authored by Florian Puehler

Since Specialization
Citations

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

Fields of papers citing papers by Florian Puehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001111
2 2000101
3 200396
4 201053
5 201351
6 199935
7 199826
8 200319
9 201919
10 200318
11 20153
12 20103
13 20162
14 20161
15 20101
16 20011
17 20110
18 20100

About Florian Puehler

Florian Puehler is a scholar working on Molecular Biology, Immunology, Epidemiology, Pathology and Forensic Medicine and Biotechnology, having authored 18 papers that have together received 540 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Immune Response and Inflammation (4 papers), Cancer Mechanisms and Therapy (3 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Poxvirus research and outbreaks (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Animal Science and Zoology (182 citations), Immunology (234 citations), Microbiology (55 citations), Virology (38 citations) and Epidemiology (162 citations). Florian Puehler has collaborated with scholars based in Germany, Singapore and Russia. Frequent co-authors include Peter Staeheli, Bernd Kaspers, Kirsten Schneider, Thomas Göbel, Kirsten C. Weining, Dominik Mumberg, Steffen Weigend, Petra Boukamp, Karl Ziegelbauer and Arne Scholz. Their work appears in journals such as Journal of Interferon & Cytokine Research, Cancer Research, Virology, Molecular Cancer Therapeutics and International Journal of Oncology.

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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