Herbert Stekel
Impact in
- Virology top 5%
- HIV Research and Treatment
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Gene expression and cancer classification 9
- Molecular Biology Techniques and Applications 3
-
- AI in cancer detection 7
- Evolutionary Algorithms and Applications 4
- Co-authors
- Jörg Berg (11 shared papers)Markus Stöcher (5 shared papers)Stephan Winkler (14 shared papers)Michael Affenzeller (14 shared papers)Victoria Leb (3 shared papers)Witold Jacak (8 shared papers)Harald H. Kessler (2 shared papers)Christian Gabriel (2 shared papers)
- Journals
- Journal of Clinical Microbiology (5 papers)Journal of Clinical Virology (2 papers)Clinical Chemistry (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Herbert Stekel
29 papers receiving 389 citations
Peers
Comparison fields: 5 of 80
- Virology 93
- Hepatology 61
- Infectious Diseases 106
- Epidemiology 84
- Genetics 54
Countries citing papers authored by Herbert Stekel
This map shows the geographic impact of Herbert Stekel'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 Herbert Stekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Stekel more than expected).
Fields of papers citing papers by Herbert Stekel
This network shows the impact of papers produced by Herbert Stekel. 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 Herbert Stekel. The network helps show where Herbert Stekel may publish in the future.
Co-authors
The 25 scholars most cited alongside Herbert Stekel, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 80 | |
| 2 | 2003 | 51 | |
| 3 | 2006 | 41 | |
| 4 | 2010 | 41 | |
| 5 | 2004 | 31 | |
| 6 | 2011 | 26 | |
| 7 | 2000 | 20 | |
| 8 | 2011 | 17 | |
| 9 | 2003 | 13 | |
| 10 | 2001 | 13 | |
| 11 | 2008 | 12 | |
| 12 | 2010 | 12 | |
| 13 | 1997 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2001 | 8 | |
| 16 | 2013 | 6 | |
| 17 | Feature selection in the analysis of tumor marker data using evolutionary algorithms | 2010 | 6 |
| 18 | 2013 | 4 | |
| 19 | 2013 | 3 | |
| 20 | Enhanced confidence interpretations of GP based ensemble modeling results | 2012 | 3 |
About Herbert Stekel
Herbert Stekel is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Infectious Diseases and Virology, having authored 30 papers that have together received 422 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), AI in cancer detection (7 papers), Cancer Genomics and Diagnostics (5 papers), HIV/AIDS drug development and treatment (4 papers), Evolutionary Algorithms and Applications (4 papers), HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Virology (93 citations), Hepatology (61 citations), Infectious Diseases (106 citations), Epidemiology (84 citations) and Genetics (54 citations). Herbert Stekel has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Jörg Berg, Markus Stöcher, Stephan Winkler, Michael Affenzeller, Victoria Leb, Witold Jacak, Harald H. Kessler, Christian Gabriel, Christian Paar and Gabriele Hölzl. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Clinical Virology, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM) and Applied Microbiology and Biotechnology.
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.