Tim Conrad
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- ECG Monitoring and Analysis
Papers in
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- Bioinformatics and Genomic Networks 9
- Metabolomics and Mass Spectrometry Studies 6
- Gene expression and cancer classification 5
- Epidemiology 10
- Respiratory viral infections research 8
- Influenza Virus Research Studies 5
- Co-authors
- Xintian You (1 shared paper)Alexander Leichtle (5 shared papers)Joachim Thiery (4 shared papers)Uta Ceglarek (3 shared papers)Martin Fiedler (3 shared papers)Julia Kase (3 shared papers)Helmut Witzigmann (3 shared papers)Barbara Rath (11 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS ONE (4 papers)Metabolomics (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)iScience (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Tim Conrad
58 papers receiving 984 citations
Tim Conrad's Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 130
- Cardiology and Cardiovascular Medicine 163
- Health Informatics 8
- Epidemiology 158
- Molecular Biology 346
Countries citing papers authored by Tim Conrad
This map shows the geographic impact of Tim Conrad'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 Tim Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Conrad more than expected).
Fields of papers citing papers by Tim Conrad
This network shows the impact of papers produced by Tim Conrad. 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 Tim Conrad. The network helps show where Tim Conrad may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Conrad, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transfer learning for ECG classification Hit paper breakdown → | 2021 | 165 |
| 2 | 2011 | 112 | |
| 3 | 2009 | 95 | |
| 4 | 2021 | 82 | |
| 5 | 2016 | 74 | |
| 6 | 2018 | 52 | |
| 7 | 2012 | 36 | |
| 8 | 2020 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2017 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2016 | 22 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2013 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2018 | 12 |
About Tim Conrad
Tim Conrad is a scholar working on Molecular Biology, Epidemiology, Spectroscopy, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Respiratory viral infections research (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Gene expression and cancer classification (5 papers), Influenza Virus Research Studies (5 papers), COVID-19 epidemiological studies (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Cancer Research (130 citations), Cardiology and Cardiovascular Medicine (163 citations), Health Informatics (8 citations), Epidemiology (158 citations) and Molecular Biology (346 citations). Tim Conrad has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Xintian You, Alexander Leichtle, Joachim Thiery, Uta Ceglarek, Martin Fiedler, Julia Kase, Helmut Witzigmann, Barbara Rath, Christof Schütte and Brunhilde Schweiger. Their work appears in journals such as Scientific Reports, PLoS ONE, Metabolomics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and iScience.
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.