Michèl Schummer
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Molecular Biology top 2%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
Papers in
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- Molecular Biology Techniques and Applications 10
- Gene expression and cancer classification 8
- Developmental Biology and Gene Regulation 3
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- Ovarian cancer diagnosis and treatment 4
- Co-authors
- David W. Bednarski (3 shared papers)David H. Haussler (1 shared paper)Terrence S. Furey (2 shared papers)Nigel Duffy (2 shared papers)Nello Cristianini (2 shared papers)Zohar Yakhini (2 shared papers)Nir Friedman (2 shared papers)Iftach Nachman (2 shared papers)
- Journals
- Gene (3 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (3 papers)Journal of Computational Biology (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michèl Schummer
26 papers receiving 4.9k citations
Michèl Schummer's Hit Papers
Peers
Comparison fields: 5 of 173
- Reproductive Medicine 622
- Molecular Biology 3.1k
- Cancer Research 359
- Paleontology 183
- Artificial Intelligence 844
Countries citing papers authored by Michèl Schummer
This map shows the geographic impact of Michèl Schummer'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 Michèl Schummer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michèl Schummer more than expected).
Fields of papers citing papers by Michèl Schummer
This network shows the impact of papers produced by Michèl Schummer. 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 Michèl Schummer. The network helps show where Michèl Schummer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michèl Schummer, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Support vector machine classification and validation of cancer tissue samples using microarray expression data Hit paper breakdown → | 2000 | 1961 |
| 2 | 2000 | 627 | |
| 3 | The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma. | 2003 | 611 |
| 4 | 1999 | 343 | |
| 5 | 1999 | 265 | |
| 6 | 2003 | 162 | |
| 7 | 1992 | 161 | |
| 8 | 1999 | 152 | |
| 9 | 2000 | 149 | |
| 10 | 2002 | 136 | |
| 11 | 2008 | 108 | |
| 12 | 2000 | 91 | |
| 13 | 2013 | 64 | |
| 14 | 2003 | 63 | |
| 15 | 2011 | 54 | |
| 16 | 1998 | 50 | |
| 17 | 2001 | 27 | |
| 18 | 2010 | 23 | |
| 19 | 1996 | 23 | |
| 20 | 1997 | 21 |
About Michèl Schummer
Michèl Schummer is a scholar working on Molecular Biology, Reproductive Medicine, Paleontology, Immunology and Cancer Research, having authored 26 papers that have together received 5.1k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (8 papers), Ovarian cancer diagnosis and treatment (4 papers), Developmental Biology and Gene Regulation (3 papers), Marine Invertebrate Physiology and Ecology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Machine Learning and Data Classification (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Reproductive Medicine (622 citations), Molecular Biology (3.1k citations), Cancer Research (359 citations), Paleontology (183 citations) and Artificial Intelligence (844 citations). Michèl Schummer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David W. Bednarski, David H. Haussler, Terrence S. Furey, Nigel Duffy, Nello Cristianini, Zohar Yakhini, Nir Friedman, Iftach Nachman, Laurakay Bruhn and Amir Ben‐Dor. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, PLoS ONE, Journal of Computational Biology and The EMBO Journal.
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.