Arno Lukas
Impact in
- Transplantation top 10%
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Bioinformatics and Genomic Networks 11
- Microbial Metabolic Engineering and Bioproduction 5
- Biomedical Text Mining and Ontologies 4
- Gene expression and cancer classification 3
- Heme Oxygenase-1 and Carbon Monoxide 2
-
- Chronic Kidney Disease and Diabetes 3
- Acute Kidney Injury Research 3
- Co-authors
- Bernd Mayer (21 shared papers)Paul Perco (21 shared papers)Rainer Oberbauer (11 shared papers)Gert Mayer (8 shared papers)Johannes Söllner (3 shared papers)Philip Hewitt (5 shared papers)Alexander Platzer (1 shared paper)Andreas Heinzel (11 shared papers)
- Journals
- Toxicology in Vitro (5 papers)Electrophoresis (4 papers)Molecular BioSystems (2 papers)Biomarkers (2 papers)PLoS ONE (2 papers)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Arno Lukas
37 papers receiving 715 citations
Peers
Comparison fields: 5 of 97
- Transplantation 23
- Nephrology 62
- Molecular Biology 401
- Pharmacology 38
- Immunology 72
Countries citing papers authored by Arno Lukas
This map shows the geographic impact of Arno Lukas'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 Arno Lukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arno Lukas more than expected).
Fields of papers citing papers by Arno Lukas
This network shows the impact of papers produced by Arno Lukas. 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 Arno Lukas. The network helps show where Arno Lukas may publish in the future.
Co-authors
The 25 scholars most cited alongside Arno Lukas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 75 | |
| 2 | 2008 | 67 | |
| 3 | 2007 | 57 | |
| 4 | 2014 | 50 | |
| 5 | 2006 | 44 | |
| 6 | 2014 | 33 | |
| 7 | 2013 | 32 | |
| 8 | 2006 | 30 | |
| 9 | 2007 | 26 | |
| 10 | 2006 | 25 | |
| 11 | 2009 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2010 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2016 | 19 | |
| 17 | 2008 | 17 | |
| 18 | 2014 | 15 | |
| 19 | 2002 | 14 | |
| 20 | 2016 | 14 |
About Arno Lukas
Arno Lukas is a scholar working on Molecular Biology, Nephrology, Surgery, Epidemiology and Pharmacology, having authored 39 papers that have together received 742 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Biomedical Text Mining and Ontologies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Acute Kidney Injury Research (3 papers), Gene expression and cancer classification (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Transplantation (23 citations), Nephrology (62 citations), Molecular Biology (401 citations), Pharmacology (38 citations) and Immunology (72 citations). Arno Lukas has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Bernd Mayer, Paul Perco, Rainer Oberbauer, Gert Mayer, Johannes Söllner, Philip Hewitt, Alexander Platzer, Andreas Heinzel, Annette Kopp‐Schneider and Alexander Kainz. Their work appears in journals such as Toxicology in Vitro, Electrophoresis, Molecular BioSystems, Biomarkers and PLoS ONE.
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.