S. Pietschmann

478 citations
15 papers · 415 · h-index 8

Impact in

    • Neonatal Respiratory Health Research
    • Respiratory Support and Mechanisms
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Immune Response and Inflammation
    • Biomarkers in Disease Mechanisms

Papers in

S. Pietschmann

14 papers receiving 389 citations

Peers

S. Pietschmann
Comparison fields: 5 of 65
  • Pulmonary and Respiratory Medicine 223
  • Immunology 43
  • Epidemiology 60
  • Structural Biology 4
  • Microbiology 8
Replace William J. Kramp with:
William J. Kramp United States
A Scharfman France
Rose-Marie A. Mackay United Kingdom
Keiichi Takigawa Japan
Kevin Inchley Canada
David S. Southam Canada
Penelope J. Adamson Australia
Arpan Sharma Neupane United States
Hayley A. Whittington United Kingdom
William I. Mariencheck United States
S. Pietschmann relative to William J. Kramp United States William J. Kramp's profile →
Citations per field
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William J. Kramp · 1×
Citations per year

Countries citing papers authored by S. Pietschmann

Since Specialization
Citations

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

Fields of papers citing papers by S. Pietschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S. Pietschmann, 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 S. Pietschmann Line = papers co-authored together S. Pietschmann links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2000168
2 1994126
3 200724
4 198823
5 200718
6 200114
7 20019
8 20008
9 20007
10 19896
11 19895
12 19914
13 20042
14 20091
15 19980

About S. Pietschmann

S. Pietschmann is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Structural Biology, Biomedical Engineering and Microbiology, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Herpesvirus Infections and Treatments (2 papers), Respiratory Support and Mechanisms (2 papers), Antimicrobial Peptides and Activities (1 paper), Protease and Inhibitor Mechanisms (1 paper), Light effects on plants (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (223 citations), Immunology (43 citations), Epidemiology (60 citations), Structural Biology (4 citations) and Microbiology (8 citations). S. Pietschmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Ulrich Pison, M. Max, V. M. Chinchilli, Joanna Floros, Z Lin, Georg Pauli, HansR. Gelderblom, Lutz Kaufner, Régis Cartier and Rainer Wüstneck. Their work appears in journals such as Nanotechnology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Protein Expression and Purification, Clinical Genetics and European Journal of Clinical Investigation.

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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