Stefan Hippenstiel

15.7k citations
159 papers · 7.4k indexed · h-index 52

Stefan Hippenstiel

156 papers receiving 7.3k citations

Peers

Stefan Hippenstiel
Comparison fields: 5 of 132
  • Immunology 2.6k
  • Microbiology 711
  • Endocrinology 533
  • Epidemiology 1.8k
  • Infectious Diseases 839
Replace Bernd Schmeck with:
Bernd Schmeck Germany
Adeline M. Hajjar United States
Viviane Balloy France
Ralf R. Schumann Germany
Alexander H. Dalpke Germany
Michel Chignard France
Irina Smirnova United States
Klaus Heeg Germany
Trude Helen Flo Norway
Suzanne M. Michalek United States
Stefan Hippenstiel relative to Bernd Schmeck Germany Bernd Schmeck's profile →
Citations per field
00.5×1.7×
Bernd Schmeck · 1×
Citations per year

Countries citing papers authored by Stefan Hippenstiel

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Hippenstiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202311
3 202115
4 201865
5 201846
6 201511
7 20141
8 20142
9 201059
10 201020
11 201031
12 2009157
13 2008102
14 200866
15 200853
16 200727
17 2006128
18 2006151
19 200549
20 200412

About Stefan Hippenstiel

Stefan Hippenstiel is a scholar working on Microbiology, Immunology and Endocrinology, having authored 159 papers that have together received 7.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (34 papers), Pneumonia and Respiratory Infections (23 papers), Respiratory viral infections research (13 papers), Respiratory Support and Mechanisms (12 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers), Legionella and Acanthamoeba research (11 papers), Neuropeptides and Animal Physiology (10 papers) and NF-κB Signaling Pathways (10 papers). The work is most often cited by research in Immunology (2.6k citations), Microbiology (711 citations) and Endocrinology (533 citations). Stefan Hippenstiel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Norbert Suttorp, Bernd Schmeck, Andreas C. Hocke, Bastian Opitz, Matthias Krüll, Joachim Seybold, Philippe Dje N’Guessan, Simone Rosseau, Janine Zahlten and Martin Witzenrath. Their work appears in journals such as The Journal of Immunology, European Respiratory Journal, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Infectious Diseases and Scientific Reports.

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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