Eva E. Prieschl

2.5k citations
26 papers · 2.2k indexed · 1 hit paper · h-index 19

Eva E. Prieschl

26 papers receiving 2.1k citations

Hit Papers

The Immune Modulator FTY720 Targets Sphingosine 1-Phospha...1.2k20022026201020184008001.2k

Peers

Eva E. Prieschl
Comparison fields: 5 of 98
  • Immunology 654
  • Molecular Biology 1.6k
  • Neurology 161
  • Cell Biology 309
  • Physiology 78
Replace Deborah Card with:
Deborah Card United States
Mark Rosenbach United States
Kathleen M. Rupprecht United States
Jenny Xie United States
Christopher L. Lynch United States
Shawn G. Payne United States
Bill X. Wu United States
Steven W. Paugh United States
Richard Kolesnick United States
Kunio Sugahara Japan
Eva E. Prieschl relative to Deborah Card United States Deborah Card's profile →
Citations per field
00.5×1.5×
Deborah Card · 1×
Citations per year

Countries citing papers authored by Eva E. Prieschl

Since Specialization
Citations

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

Fields of papers citing papers by Eva E. Prieschl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva E. Prieschl. 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 Eva E. Prieschl. The network helps show where Eva E. Prieschl may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200626
2 200325
3
The Immune Modulator FTY720 Targets Sphingosine 1-Phosphate Receptorsbreakdown →
20021246
4 200249
5 200220
6 200133
7 20009
8 200050
9 200015
10 1999145
11 199913
12 19992
13 199875
14 199841
15 199831
16 199725
17 19964
18 199585
19 199538
20 199530

About Eva E. Prieschl

Eva E. Prieschl is a scholar working on Immunology and Allergy, Immunology, Pharmacology, Molecular Biology and Physiology, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mast cells and histamine (10 papers), Sphingolipid Metabolism and Signaling (8 papers), Cell Adhesion Molecules Research (5 papers), Lipid Membrane Structure and Behavior (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Chemical Synthesis and Analysis (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Immunology (654 citations), Molecular Biology (1.6k citations), Neurology (161 citations), Cell Biology (309 citations) and Physiology (78 citations). Eva E. Prieschl has collaborated with scholars based in Austria, United States and Japan. Frequent co-authors include Thomas Baumruker, Kevin R. Lynch, Markus Zollinger, Robert Hof, Volker Brinkmann, Christopher E. Heise, Rainer Albert, Carolyn A. Foster, Sylvain Cottens and Christian Bruns. Their work appears in journals such as The Journal of Immunology, International Archives of Allergy and Immunology, Journal of Biological Chemistry, Nucleic Acids Research and Gene.

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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