Michèl Schummer

6.3k citations

26 papers · 4.7k indexed · 3 hit papers · h-index 19

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 ⓘ

Molecular Biology 20
- Molecular Biology Techniques and Applications 10
- Gene expression and cancer classification 9
- Developmental Biology and Gene Regulation 3
- Advanced biosensing and bioanalysis techniques 2
- RNA Research and Splicing 2
- Glycosylation and Glycoproteins Research 2
Reproductive Medicine 4
- Ovarian cancer diagnosis and treatment 4

Co-authors: David Bednarski (3 shared papers)David Haussler (1 shared paper)Nello Cristianini (2 shared papers)Terrence S. Furey (2 shared papers)Nigel Duffy (2 shared papers)Nir Friedman (2 shared papers)Zohar Yakhini (2 shared papers)Iftach Nachman (2 shared papers)
Journals: PLoS ONE (4 papers)Gene (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Computational Biology (1 paper)Blood (1 paper)
Partner nations: United States South Africa United Kingdom

In The Last Decade

Michèl Schummer

26 papers receiving 4.5k citations

Hit Papers

align trajectories log scale

The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma. 2003 · 582 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2003 PubMed
2000 Bioinformatics
2000 Journal of Computational Biology

Peers

Countries citing papers authored by Michèl Schummer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

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20 of 20 papers shown

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 Bioinformatics ·Terrence S. Furey, Nello Cristianini, Nigel Duffy, David Bednarski, Michèl Schummer, David Haussler Hit paper breakdown →	2000	1777
2	The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma. PubMed ·Ingegerd Hellström, John Raycraft, Martha Hayden-Ledbetter, Jeffrey A. Ledbetter, Michèl Schummer, Martin McIntosh, Charles W. Drescher, Nicole Urban, Karl Erik Hellström Hit paper breakdown →	2003	582
3	Tissue Classification with Gene Expression Profiles Journal of Computational Biology ·Amir Ben‐Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini Hit paper breakdown →	2000	537
4	Comparative hybridization of an array of 21 500 ovarian cDNAs for the discovery of genes overexpressed in ovarian carcinomas Gene ·Michèl Schummer, WaiLap V Ng, Roger E. Bumgarner, Peter S. Nelson, Bernhard Schummer, David Bednarski, Laurie Hassell, Rae Lynn Baldwin, Beth Y. Karlan, L Hood	1999	321
5	Monitoring gene expression profile changes in ovarian carcinomas using cDNA microarray Gene ·Kai Wang, Lu Gan, Eric W. Jeffery, Margit Gayle, Allen M. Gown, Marilyn Skelly, Peter S. Nelson, WeiLap V. Ng, Michèl Schummer, Leroy Hood, John Mulligan	1999	254
6	Selecting Differentially Expressed Genes from Microarray Experiments Biometrics ·Margaret S. Pepe, Gary Longton, Garnet L. Anderson, Michèl Schummer	2003	153
7	Messenger RNA translation state: The second dimension of high-throughput expression screening Proceedings of the National Academy of Sciences ·Qin Zong, Michèl Schummer, Leroy Hood, David R. Morris	1999	150
8	HOM/HOX homeobox genes are present in hydra (Chlorohydra viridissima) and are differentially expressed during regeneration. The EMBO Journal ·Michèl Schummer, Imke Scheurlen, Chica Schaller, Brigitte Galliot	1992	149
9	Evolution of Antp-class genes and differential expression ofHydra Hox/paraHoxgenes in anterior patterning Proceedings of the National Academy of Sciences ·Dominique Gauchat, Françoise Mazet, Cédric Berney, Michèl Schummer, Sylvia Kreger, Jan Pawłowski, Brigitte Galliot	2000	134
10	Differential gene expression profiling of adult murine hematopoietic stem cells Blood ·In-Kyung Park, Yaqin He, Fangming Lin, Ole Didrik Lærum, Qiang Tian, Roger E. Bumgarner, Christopher A. Klug, Kaijun Li, Christian S. Kuhr, Michelle J. Doyle, Tao Xie, Michèl Schummer, Yu Sun, Adam M. Goldsmith, Michael F. Clarke, Irving L. Weissman, Leroy Hood, Linheng Li	2002	127
11	Proteomic Analysis of Ovarian Cancer Cells Reveals Dynamic Processes of Protein Secretion and Shedding of Extra-Cellular Domains PLoS ONE ·Vítor M. Faça, Aviva P. Ventura, Mathew P. Fitzgibbon, Sandra R. Pereira-Faça, Sharon J. Pitteri, Ann E. Green, Reneé C. Ireton, Qing Zhang, Hong Wang, Kathy O'Briant, Charles W. Drescher, Michèl Schummer, Martin McIntosh, Beatrice S. Knudsen, Samir Hanash	2008	105
12	Tissue classification with gene expression profiles Amir Ben‐Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini	2000	79
13	Serologic analysis of ovarian tumor antigens reveals a bias toward antigens encoded on 17q International Journal of Cancer ·Brad Stone, Michèl Schummer, Pamela J. Paley, Lucas Thompson, Julie Stewart, Molly M. Ford, Meghan Crawford, Nicole Urban, Kathy O'Briant, Brad H. Nelson	2003	64
14	Evaluation of ovarian cancer remission markers HE4, MMP7 and Mesothelin by comparison to the established marker CA125 Gynecologic Oncology ·Michèl Schummer, Charles W. Drescher, Robin M. Forrest, Shirley Gough, Jason D. Thorpe, Ingegerd Hellström, Karl Erik Hellström, Nicole Urban	2011	48
15	An Expressed-Sequence-Tag Database of the Human Prostate: Sequence Analysis of 1168 cDNA Clones Genomics ·Peter S. Nelson, Wai-Lap Ng, Michèl Schummer, Lawrence D. True, Alvin Y. Liu, Roger E. Bumgarner, Camari Ferguson, Amy Dimak, Leroy Hood	1998	46
16	MAGE-F1, a novel ubiquitously expressed member of the MAGE superfamily Gene ·Brad Stone, Michèl Schummer, Pamela J. Paley, Meghan Crawford, Molly M. Ford, Nicole Urban, Brad H. Nelson	2001	27
17	High-Throughput Plasmid Mini Preparations Facilitated by Micro-Mixing Nucleic Acids Research ·Wai-Lap Ng, Michèl Schummer, Frank D. Cirisano, R. L. Baldwin, B. Y. Karlan, Leroy Hood	1996	23
18	Comparison of Breast Cancer to Healthy Control Tissue Discovers Novel Markers with Potential for Prognosis and Early Detection PLoS ONE ·Michèl Schummer, Ann Green, J. David Beatty, Beth Y. Karlan, Scott Karlan, Jenny Gross, Sean Thornton, Martin McIntosh, Nicole Urban	2010	20
19	Inexpensive Handheld Device for the Construction of High-Density Nucleic Acid Arrays BioTechniques ·Michèl Schummer, Wai-Lap Ng, Peter S. Nelson, Roger E. Bumgarner, Leroy Hood	1997	19
20	Negative selection: a method for obtaining low-abundance cDNAs using high-density cDNA clone arrays Genetic Analysis Biomolecular Engineering ·Peter S. Nelson, Victoria Hawkins, Michèl Schummer, Roger E. Bumgarner, Wai-Lap Ng, Trey Ideker, Camari Ferguson, Leroy Hood	1999	15

About Michèl Schummer

Michèl Schummer is a scholar working on Molecular Biology, Reproductive Medicine, Paleontology, Immunology and Oncology, having authored 26 papers that have together received 4.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (9 papers), Ovarian cancer diagnosis and treatment (4 papers), Marine Invertebrate Physiology and Ecology (3 papers), Developmental Biology and Gene Regulation (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA Research and Splicing (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Reproductive Medicine (694 citations), Molecular Biology (3.0k citations), Cancer Research (428 citations), Artificial Intelligence (796 citations) and Obstetrics and Gynecology (188 citations). Michèl Schummer has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include David Bednarski, David Haussler, Nello Cristianini, Terrence S. Furey, Nigel Duffy, Nir Friedman, Zohar Yakhini, Iftach Nachman, Amir Ben‐Dor and Laurakay Bruhn. Their work appears in journals such as PLoS ONE, Gene, Proceedings of the National Academy of Sciences, Journal of Computational Biology and Blood.

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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