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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- COVID-19 epidemiological studies 5
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Xintian A. You (1 shared paper)Alexander Benedikt Leichtle (5 shared papers)Joachim Thiery (4 shared papers)Barbara A. Rath (11 shared papers)Helmut Witzigmann (3 shared papers)Julia Kase (3 shared papers)Martin Fiedler (3 shared papers)Uta Ceglarek (3 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS ONE (4 papers)IEEE Transactions on Computational Biology and Bioinformatics (2 papers)Metabolomics (2 papers)iScience (2 papers)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Tim Conrad
53 papers receiving 1.0k citations
Tim Conrad's Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 131
- Cardiology and Cardiovascular Medicine 176
- Health Informatics 8
- Epidemiology 168
- Molecular Biology 356
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transfer learning for ECG classification Hit paper breakdown → | 2021 | 176 |
| 2 | 2011 | 114 | |
| 3 | 2009 | 98 | |
| 4 | 2021 | 96 | |
| 5 | 2016 | 75 | |
| 6 | 2018 | 59 | |
| 7 | 2012 | 36 | |
| 8 | 2020 | 33 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2016 | 24 | |
| 13 | 2021 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2015 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2018 | 15 | |
| 18 | 2013 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2006 | 12 |
About Tim Conrad
Tim Conrad is a scholar working on Modeling and Simulation, Spectroscopy, Molecular Biology, Epidemiology and Statistical and Nonlinear Physics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Respiratory viral infections research (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (5 papers), Gene expression and cancer classification (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Cancer Research (131 citations), Cardiology and Cardiovascular Medicine (176 citations), Health Informatics (8 citations), Epidemiology (168 citations) and Molecular Biology (356 citations). Tim Conrad has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Xintian A. You, Alexander Benedikt Leichtle, Joachim Thiery, Barbara A. Rath, Helmut Witzigmann, Julia Kase, Martin Fiedler, Uta Ceglarek, Christof Schütte and Brunhilde Schweiger. Their work appears in journals such as Scientific Reports, PLoS ONE, IEEE Transactions on Computational Biology and Bioinformatics, Metabolomics 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.