Herbert Stekel

525 citations
24 papers · 368 · h-index 12

Impact in

Papers in

    • Gene expression and cancer classification 4
    • Molecular Biology Techniques and Applications 3
    • AI in cancer detection 4
    • Evolutionary Algorithms and Applications 3

Herbert Stekel

23 papers receiving 346 citations

Peers

Herbert Stekel
Comparison fields: 5 of 74
  • Virology 91
  • Hepatology 60
  • Infectious Diseases 101
  • Epidemiology 75
  • Genetics 52
Replace Kyung-Chang Kim with:
Kyung-Chang Kim South Korea
Shirley Jankelevich United States
Amanda Lowe United States
Alexandre Deloire France
A Watanabe Japan
Kap No Lee South Korea
Laura E. Martínez United States
Paula Monteiro Perin Germany
Yu‐Ming Cheng Taiwan
Herbert Stekel relative to Kyung-Chang Kim South Korea Kyung-Chang Kim's profile →
Citations per field
00.5×10×13×
Kyung-Chang Kim · 1×
Citations per year

Countries citing papers authored by Herbert Stekel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Herbert Stekel Line = papers co-authored together Herbert Stekel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200276
2 200347
3 200640
4 201038
5 200428
6 201122
7 200019
8 201117
9 200113
10 200812
11 200312
12 199711
13 20018
14 20108
15 20134
16
Feature selection in the analysis of tumor marker data using evolutionary algorithms
20103
17 20172
18 20132
19 20142
20 20131

About Herbert Stekel

Herbert Stekel is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Virology and Cancer Research, having authored 24 papers that have together received 368 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers), AI in cancer detection (4 papers), HIV/AIDS Research and Interventions (3 papers), Evolutionary Algorithms and Applications (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Virology (91 citations), Hepatology (60 citations), Infectious Diseases (101 citations), Epidemiology (75 citations) and Genetics (52 citations). Herbert Stekel has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Jörg Berg, Markus Stöcher, Victoria Leb, Stephan Winkler, Michael Affenzeller, Harald H. Kessler, Christian Gabriel, Witold Jacak, Christian Paar and Rainer Hubmann. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Clinical Virology, Applied Microbiology and Biotechnology, Clinical Chemistry and Molecular Cytogenetics.

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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