Stefanie Scheid
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 2
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- Statistical Methods in Clinical Trials 3
- Co-authors
- Rainer Spang (9 shared papers)Xinan Yang (2 shared papers)Claudio Lottaz (1 shared paper)Stefan Bentink (1 shared paper)Mario Drungowski (1 shared paper)Rolf Thermann (1 shared paper)Henning Witt (1 shared paper)Steffen Hennig (1 shared paper)
In The Last Decade
Stefanie Scheid
14 papers receiving 344 citations
Peers
Comparison fields: 5 of 61
- Otorhinolaryngology 13
- Statistics and Probability 26
- Molecular Biology 201
- Aging 5
- Hematology 22
Countries citing papers authored by Stefanie Scheid
This map shows the geographic impact of Stefanie Scheid'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 Stefanie Scheid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Scheid more than expected).
Fields of papers citing papers by Stefanie Scheid
This network shows the impact of papers produced by Stefanie Scheid. 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 Stefanie Scheid. The network helps show where Stefanie Scheid may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefanie Scheid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | 2006 | 55 | |
| 3 | 2006 | 46 | |
| 4 | 2004 | 35 | |
| 5 | 2005 | 34 | |
| 6 | 2007 | 32 | |
| 7 | 2004 | 29 | |
| 8 | 2009 | 17 | |
| 9 | 2005 | 16 | |
| 10 | 2006 | 6 | |
| 11 | 2007 | 4 | |
| 12 | A false discovery rate approach to separate the score distributions of induced and non-induced genes | 2003 | 3 |
| 13 | The generalized lognormal distribution as an income distribution | 2003 | 1 |
| 14 | 2007 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2005 | 0 | |
| 17 | 2005 | 0 |
About Stefanie Scheid
Stefanie Scheid is a scholar working on Molecular Biology, Statistics and Probability, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Statistical Methods in Clinical Trials (3 papers), Bioinformatics and Genomic Networks (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cancer Genomics and Diagnostics (1 paper), T-cell and B-cell Immunology (1 paper), Income, Poverty, and Inequality (1 paper) and Economic theories and models (1 paper). The work is most often cited by research in Otorhinolaryngology (13 citations), Statistics and Probability (26 citations), Molecular Biology (201 citations), Aging (5 citations) and Hematology (22 citations). Stefanie Scheid has collaborated with scholars based in Germany, China and Hungary. Frequent co-authors include Rainer Spang, Xinan Yang, Claudio Lottaz, Stefan Bentink, Mario Drungowski, Rolf Thermann, Henning Witt, Steffen Hennig, Andreas Perrot and Dirk Klingbiel. Their work appears in journals such as Bioinformatics, Experimental Dermatology, Computer applications in the biosciences, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Leukemia.
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.