Michèl Schummer

6.3k total citations · 3 hit papers
26 papers, 4.7k citations indexed

About

Michèl Schummer is a scholar working on Molecular Biology, Reproductive Medicine and Paleontology. According to data from OpenAlex, Michèl Schummer has authored 26 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Reproductive Medicine and 3 papers in Paleontology. Recurrent topics in Michèl Schummer's work include Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (9 papers) and Ovarian cancer diagnosis and treatment (4 papers). Michèl Schummer is often cited by papers focused on Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (9 papers) and Ovarian cancer diagnosis and treatment (4 papers). Michèl Schummer collaborates with scholars based in United States, United Kingdom and Germany. Michèl Schummer's co-authors include David Bednarski, David Haussler, Terrence S. Furey, Nello Cristianini, Nigel Duffy, Nir Friedman, Laurakay Bruhn, Amir Ben‐Dor, Iftach Nachman and Zohar Yakhini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Michèl Schummer

26 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Support vector machine classification and validation of cancer tissue samples using microarray expression data

2000 1.8k citations Terrence S. Furey, Nello Cristianini et al. Bioinformatics profile →
The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma.

2003 582 citations Ingegerd Hellström, Martha Hayden-Ledbetter et al. PubMed profile →
Tissue Classification with Gene Expression Profiles

2000 537 citations Amir Ben‐Dor, Laurakay Bruhn et al. Journal of Computational Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michèl Schummer United States	19	3.0k	796	694	428	377	26	4.7k
David A. Nix United States	30	3.5k 1.2×	276 0.3×	445 0.6×	381 0.9×	110 0.3×	54	5.9k
TL Lee Hong Kong	42	2.7k 0.9×	241 0.3×	332 0.5×	1.0k 2.4×	68 0.2×	136	5.3k
Florian Markowetz United Kingdom	33	2.9k 1.0×	428 0.5×	241 0.3×	1.6k 3.7×	105 0.3×	94	5.6k
Jan Komorowski Poland	38	4.2k 1.4×	701 0.9×	134 0.2×	1.3k 2.9×	64 0.2×	224	6.9k
David Bednarski United States	8	1.4k 0.5×	539 0.7×	171 0.2×	156 0.4×	282 0.7×	9	2.2k
Michelle Gaasenbeek United Kingdom	8	7.5k 2.5×	2.1k 2.7×	120 0.2×	1.0k 2.4×	1.1k 3.0×	10	10.2k
Aedín C. Culhane United States	36	3.6k 1.2×	218 0.3×	217 0.3×	1.1k 2.5×	67 0.2×	71	5.2k
Ryuji Hamamoto Japan	45	5.3k 1.8×	493 0.6×	93 0.1×	1.1k 2.5×	107 0.3×	169	7.4k
Xiaoqing Yang China	34	1.8k 0.6×	185 0.2×	128 0.2×	506 1.2×	72 0.2×	136	3.2k
C. Huard Canada	5	6.4k 2.1×	1.8k 2.2×	48 0.1×	801 1.9×	974 2.6×	6	8.3k

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-authorship network of co-authors of Michèl Schummer

This figure shows the co-authorship network connecting the top 25 collaborators of Michèl Schummer. A scholar is included among the top collaborators of Michèl Schummer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michèl Schummer. Michèl Schummer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schummer, Michèl, Jason D. Thorpe, María D. Giraldez, et al.. (2015). Evaluating Serum Markers for Hormone Receptor-Negative Breast Cancer. PLoS ONE. 10(11). e0142911–e0142911. 4 indexed citations

Schummer, Michèl, Charles W. Drescher, Jason D. Thorpe, et al.. (2011). Evaluation of ovarian cancer remission markers HE4, MMP7 and Mesothelin by comparison to the established marker CA125. Gynecologic Oncology. 125(1). 65–69. 48 indexed citations

Schummer, Michèl, Ann Green, J. David Beatty, et al.. (2010). Comparison of Breast Cancer to Healthy Control Tissue Discovers Novel Markers with Potential for Prognosis and Early Detection. PLoS ONE. 5(2). e9122–e9122. 20 indexed citations

Schummer, Michèl, et al.. (2010). Breast cancer genomics: normal tissue and cancer markers. Annals of the New York Academy of Sciences. 1210(1). 78–85. 7 indexed citations

Schummer, Michèl, Ann Green, Beth Y. Karlan, et al.. (2010). Correction: Comparison of Breast Cancer to Healthy Control Tissue Discovers Novel Markers with Potential for Prognosis and Early Detection. PLoS ONE. 5(4). 5 indexed citations

Ventura, Aviva P., Sabarinath Venniyil Radhakrishnan, Ann Green, et al.. (2010). Activation of the MEK–S6 Pathway in High-grade Ovarian Cancers. Applied immunohistochemistry & molecular morphology. 18(6). 499–508. 12 indexed citations

Faça, Vítor M., Aviva P. Ventura, Sharon J. Pitteri, et al.. (2008). Proteomic Analysis of Ovarian Cancer Cells Reveals Dynamic Processes of Protein Secretion and Shedding of Extra-Cellular Domains. PLoS ONE. 3(6). e2425–e2425. 105 indexed citations

Stone, Brad, Michèl Schummer, Pamela J. Paley, et al.. (2003). Serologic analysis of ovarian tumor antigens reveals a bias toward antigens encoded on 17q. International Journal of Cancer. 104(1). 73–84. 64 indexed citations

Pepe, Margaret S., Gary Longton, Garnet L. Anderson, & Michèl Schummer. (2003). Selecting Differentially Expressed Genes from Microarray Experiments. Biometrics. 59(1). 133–142. 153 indexed citations

10.

Hellström, Ingegerd, Martha Hayden-Ledbetter, Jeffrey A. Ledbetter, et al.. (2003). The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma.. PubMed. 63(13). 3695–700. 582 indexed citations breakdown →

11.

Stone, Brad, Michèl Schummer, Pamela J. Paley, et al.. (2001). MAGE-F1, a novel ubiquitously expressed member of the MAGE superfamily. Gene. 267(2). 173–182. 27 indexed citations

12.

Furey, Terrence S., Nello Cristianini, Nigel Duffy, et al.. (2000). Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics. 16(10). 906–914. 1777 indexed citations breakdown →

13.

Ben‐Dor, Amir, Laurakay Bruhn, Nir Friedman, et al.. (2000). Tissue Classification with Gene Expression Profiles. Journal of Computational Biology. 7(3-4). 559–583. 537 indexed citations breakdown →

14.

Wang, Kai, Lu Gan, Eric W. Jeffery, et al.. (1999). Monitoring gene expression profile changes in ovarian carcinomas using cDNA microarray. Gene. 229(1-2). 101–108. 254 indexed citations

15.

Nelson, Peter S., Michèl Schummer, Roger E. Bumgarner, et al.. (1999). Negative selection: a method for obtaining low-abundance cDNAs using high-density cDNA clone arrays. Genetic Analysis Biomolecular Engineering. 15(6). 209–215. 15 indexed citations

16.

Schummer, Michèl, et al.. (1999). Messenger RNA translation state: The second dimension of high-throughput expression screening. Proceedings of the National Academy of Sciences. 96(19). 10632–10636. 150 indexed citations

17.

Nelson, Peter S., Wai-Lap Ng, Michèl Schummer, et al.. (1998). An Expressed-Sequence-Tag Database of the Human Prostate: Sequence Analysis of 1168 cDNA Clones. Genomics. 47(1). 12–25. 46 indexed citations

18.

Ng, Wai-Lap, et al.. (1996). High-Throughput Plasmid Mini Preparations Facilitated by Micro-Mixing. Nucleic Acids Research. 24(24). 5045–5047. 23 indexed citations

19.

Galliot, Brigitte & Michèl Schummer. (1993). ‘Guessmer’ screening strategy applied to species with AT-rich coding sequences. Trends in Genetics. 9(1). 3–4. 10 indexed citations

20.

Schummer, Michèl, et al.. (1992). HOM/HOX homeobox genes are present in hydra (Chlorohydra viridissima) and are differentially expressed during regeneration.. The EMBO Journal. 11(5). 1815–1823. 149 indexed citations

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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