Rainer Prohaska
Impact in
- Cell Biology top 1%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Physiology top 2%
- Erythrocyte Function and Pathophysiology
Papers in
- Physiology 34
- Erythrocyte Function and Pathophysiology 33
- Cell Biology 18
- Caveolin-1 and cellular processes 16
- Cellular transport and secretion 5
- Co-authors
- Ulrich SalzerEllen UmlaufLuc SnyersRobert G. PartonMario MairhoferEdina CsaszarPeter HinterdorferJin Z. Zhang
- Journals
- Blood (6 papers)Journal of Biological Chemistry (6 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)PLoS ONE (4 papers)Gene (3 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Rainer Prohaska
54 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 878
- Physiology 1.0k
- Biochemistry 241
- Aging 47
- Molecular Biology 1.7k
Countries citing papers authored by Rainer Prohaska
This map shows the geographic impact of Rainer Prohaska'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 Rainer Prohaska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Prohaska more than expected).
Fields of papers citing papers by Rainer Prohaska
This network shows the impact of papers produced by Rainer Prohaska. 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 Rainer Prohaska. The network helps show where Rainer Prohaska may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Prohaska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2017 | 6 | |
| 3 | 2012 | 38 | |
| 4 | 2009 | 29 | |
| 5 | 2008 | 184 | |
| 6 | 2006 | 64 | |
| 7 | 2006 | 39 | |
| 8 | 2005 | 4 | |
| 9 | 2004 | 204 | |
| 10 | 2000 | 46 | |
| 11 | 1999 | 52 | |
| 12 | 1999 | 87 | |
| 13 | 1999 | 47 | |
| 14 | 1998 | 43 | |
| 15 | 1996 | 6 | |
| 16 | 1995 | 22 | |
| 17 | 1994 | 10 | |
| 18 | 1991 | 64 | |
| 19 | 1987 | 14 | |
| 20 | 1981 | 11 |
About Rainer Prohaska
Rainer Prohaska is a scholar working on Physiology, Cell Biology, Hematology, Neurology and Molecular Biology, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (33 papers), Caveolin-1 and cellular processes (16 papers), Lipid Membrane Structure and Behavior (7 papers), Blood groups and transfusion (6 papers), Glycosylation and Glycoproteins Research (5 papers), Cellular transport and secretion (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Cell Biology (878 citations), Physiology (1.0k citations), Biochemistry (241 citations), Aging (47 citations) and Molecular Biology (1.7k citations). Rainer Prohaska has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Ulrich Salzer, Ellen Umlauf, Luc Snyers, Robert G. Parton, Mario Mairhofer, Edina Csaszar, Peter Hinterdorfer, Jin Z. Zhang, Faramarz Ismail‐Beigi and Gerhard J. Schuetz. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, PLoS ONE 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.