Mark S. Chee

23.9k total citations · 2 hit papers
37 papers, 8.2k citations indexed

About

Mark S. Chee is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Mark S. Chee has authored 37 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in Mark S. Chee's work include Gene expression and cancer classification (12 papers), Molecular Biology Techniques and Applications (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Mark S. Chee is often cited by papers focused on Gene expression and cancer classification (12 papers), Molecular Biology Techniques and Applications (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Mark S. Chee collaborates with scholars based in United States, United Kingdom and France. Mark S. Chee's co-authors include David J. Lockhart, Kevin L. Gunderson, Michiko Kobayashi, Michael C. Byrne, Helin Dong, Michael Mittmann, Chunwei Wang, Eugene L. Brown, Maximillian T. Follettie and Stephen P. A. Fodor and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Mark S. Chee

35 papers receiving 7.8k citations

Hit Papers

Expression monitoring by hybridization to high-density ol... 1996 2026 2006 2016 1996 1996 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Chee United States 27 5.8k 1.5k 807 673 558 37 8.2k
Michael L. Metzker United States 23 5.0k 0.9× 1.8k 1.1× 786 1.0× 399 0.6× 308 0.6× 35 7.6k
Alexander Schmidt Switzerland 56 7.6k 1.3× 1.3k 0.9× 569 0.7× 429 0.6× 432 0.8× 171 11.2k
Gerard Cagney Ireland 42 9.4k 1.6× 787 0.5× 461 0.6× 687 1.0× 414 0.7× 109 12.3k
Francis Barany United States 42 3.9k 0.7× 1.1k 0.7× 878 1.1× 1.1k 1.6× 262 0.5× 126 6.5k
Gianni Cesareni Italy 59 11.4k 2.0× 1.5k 1.0× 468 0.6× 583 0.9× 444 0.8× 188 13.9k
D. Schultz United States 44 7.3k 1.2× 1.1k 0.7× 944 1.2× 321 0.5× 635 1.1× 119 9.9k
Jörg D. Hoheisel Germany 52 8.7k 1.5× 1.1k 0.7× 1.2k 1.4× 1.2k 1.7× 1.1k 1.9× 238 11.7k
Santanu Dasgupta United States 41 4.0k 0.7× 1.2k 0.8× 958 1.2× 182 0.3× 620 1.1× 169 6.3k
Rita Casadio Italy 55 10.0k 1.7× 2.3k 1.5× 470 0.6× 303 0.5× 564 1.0× 271 14.1k
Rainer Pepperkok Germany 71 11.4k 2.0× 1.2k 0.8× 646 0.8× 689 1.0× 656 1.2× 202 16.0k

Countries citing papers authored by Mark S. Chee

Since Specialization
Citations

This map shows the geographic impact of Mark S. Chee'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 Mark S. Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Chee more than expected).

Fields of papers citing papers by Mark S. Chee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Chee. 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 Mark S. Chee. The network helps show where Mark S. Chee may publish in the future.

Co-authorship network of co-authors of Mark S. Chee

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Chee. A scholar is included among the top collaborators of Mark S. Chee 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 Mark S. Chee. Mark S. Chee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chee, Mark S., Kristen Wroblewski, Arlene Weissman, et al.. (2020). Physician and Nurse Practitioner Attitudes on Generic Prescribing of Oral Contraceptive Pills and Antidepressants. Journal of General Internal Medicine. 35(12). 3478–3484.
2.
Martignetti, John A., Olga Camacho‐Vanegas, Nolan Priedigkeit, et al.. (2014). Personalized Ovarian Cancer Disease Surveillance and Detection of Candidate Therapeutic Drug Target in Circulating Tumor DNA. Neoplasia. 16(1). 97–W29. 46 indexed citations
3.
Ia, Kozlov, Elliot R. Thomsen, Sarah Munchel, et al.. (2012). A Highly Scalable Peptide-Based Assay System for Proteomics. PLoS ONE. 7(6). e37441–e37441. 13 indexed citations
4.
Shiryaev, Sergey A., Elliot R. Thomsen, Piotr Cieplak, et al.. (2012). New Details of HCV NS3/4A Proteinase Functionality Revealed by a High-Throughput Cleavage Assay. PLoS ONE. 7(4). e35759–e35759. 32 indexed citations
5.
Sboner, Andrea, Lukas Habegger, Dorothee Pflueger, et al.. (2010). FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data. Genome biology. 11(10). 110 indexed citations
6.
Pflueger, Dorothee, Stéphane Terry, Andrea Sboner, et al.. (2010). Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing. Genome Research. 21(1). 56–67. 157 indexed citations
7.
Pflueger, Dorothee, David S. Rickman, Andrea Sboner, et al.. (2009). N-myc Downstream Regulated Gene 1 (NDRG1) Is Fused to ERG in Prostate Cancer. Neoplasia. 11(8). 804–W18. 98 indexed citations
8.
Summerer, Daniel, Haiguo Wu, Bettina Haase, et al.. (2009). Microarray-based multicycle-enrichment of genomic subsets for targeted next-generation sequencing. Genome Research. 19(9). 1616–1621. 42 indexed citations
9.
Smith, Andrew, Lawrence E. Heisler, Joseph Mellor, et al.. (2009). Quantitative phenotyping via deep barcode sequencing. Genome Research. 19(10). 1836–1842. 224 indexed citations
10.
Gunderson, Kevin L., et al.. (2005). A genome-wide scalable SNP genotyping assay using microarray technology. Nature Genetics. 37(5). 549–554. 458 indexed citations
11.
Bibikova, Marina, Eugene Chudin, Joanne M. Yeakley, et al.. (2004). Quantitative Gene Expression Profiling in Formalin-Fixed, Paraffin-Embedded Tissues Using Universal Bead Arrays. American Journal Of Pathology. 165(5). 1799–1807. 139 indexed citations
12.
Kuhn, Kenneth, Shawn C. Baker, Eugene Chudin, et al.. (2004). A novel, high-performance random array platform for quantitative gene expression profiling. Genome Research. 14(11). 2347–2356. 144 indexed citations
13.
Murray, Sarah S., Arnold Oliphant, Richard Shen, et al.. (2004). A highly informative SNP linkage panel for human genetic studies. Nature Methods. 1(2). 113–117. 49 indexed citations
14.
Mei, Rui, Patricia C. Galipeau, Anthony Berno, et al.. (2000). Genome-wide Detection of Allelic Imbalance Using Human SNPs and High-density DNA Arrays. Genome Research. 10(8). 1126–1137. 164 indexed citations
15.
Gunderson, Kevin L., Xiaohua Huang, Macdonald Morris, et al.. (1998). Mutation Detection by Ligation to Complete n-mer DNA Arrays. Genome Research. 8(11). 1142–1153. 73 indexed citations
16.
Hacia, Joseph G., Lawrence C. Brody, Mark S. Chee, Stephen P. A. Fodor, & Francis S. Collins. (1996). Detection of heterozygous mutations in BRCA1 using high density oligonucleotide arrays and two–colour fluorescence analysis. Nature Genetics. 14(4). 441–447. 405 indexed citations
17.
Lockhart, David J., Helin Dong, Michael C. Byrne, et al.. (1996). Expression monitoring by hybridization to high-density oligonucleotide arrays. Nature Biotechnology. 14(13). 1675–1680. 2246 indexed citations breakdown →
18.
Chee, Mark S.. (1991). Enzymatic multiplex DNA sequencing. Nucleic Acids Research. 19(12). 3301–3305. 8 indexed citations
19.
Rawlinson, William D ., Mark S. Chee, Victoria Smith, & B. G. Barrell. (1991). Single stranded rescue from phagemids in microtitre plates. Nucleic Acids Research. 19(17). 4779–4779. 1 indexed citations
20.
Smith, Victoria & Mark S. Chee. (1991). A simple method for sequencing the complementary strand of ssDNA from M13 clones. Nucleic Acids Research. 19(24). 6957–6957. 4 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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