Richard Shen

9.8k total citations · 1 hit paper
22 papers, 3.5k citations indexed

About

Richard Shen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Richard Shen has authored 22 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Richard Shen's work include RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers) and Epigenetics and DNA Methylation (4 papers). Richard Shen is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers) and Epigenetics and DNA Methylation (4 papers). Richard Shen collaborates with scholars based in United States, China and Canada. Richard Shen's co-authors include Kevin L. Gunderson, Marina Bibikova, Jennie Le, Bret Barnes, Jian‐Bing Fan, David Barker, Frank J. Steemers, Vincent Ho, Brandy Klotzle and Gary P. Schroth and has published in prestigious journals such as Nucleic Acids Research, Nature Methods and Cancer Research.

In The Last Decade

Richard Shen

20 papers receiving 3.4k citations

Hit Papers

High density DNA methylation array with single CpG site r... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Shen United States 15 2.4k 1.4k 442 363 300 22 3.5k
Samuel Deutsch United States 32 2.5k 1.0× 1.5k 1.1× 422 1.0× 269 0.7× 324 1.1× 63 4.1k
Leonard Lee United States 8 4.0k 1.7× 1.1k 0.8× 387 0.9× 430 1.2× 308 1.0× 31 4.5k
Bernard Ramsahoye United Kingdom 26 3.6k 1.5× 1.2k 0.8× 328 0.7× 298 0.8× 261 0.9× 38 4.3k
Aimée M. Deaton United States 15 3.4k 1.4× 868 0.6× 505 1.1× 275 0.8× 269 0.9× 20 4.0k
Matthieu Defrance Belgium 26 2.6k 1.1× 614 0.4× 406 0.9× 314 0.9× 170 0.6× 45 3.3k
Carolina Bonilla United Kingdom 29 1.3k 0.6× 1.9k 1.4× 209 0.5× 259 0.7× 174 0.6× 74 3.9k
David Millar United Kingdom 24 3.1k 1.3× 992 0.7× 355 0.8× 240 0.7× 330 1.1× 60 4.8k
Claude Beazley United Kingdom 9 2.1k 0.9× 2.0k 1.4× 495 1.1× 303 0.8× 112 0.4× 9 3.5k
Liliana Ramos Netherlands 28 3.1k 1.3× 1.5k 1.1× 338 0.8× 242 0.7× 629 2.1× 61 4.9k
Joshua Starmer United States 28 1.7k 0.7× 1.2k 0.8× 356 0.8× 331 0.9× 103 0.3× 43 3.1k

Countries citing papers authored by Richard Shen

Since Specialization
Citations

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

Fields of papers citing papers by Richard Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Shen. 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 Richard Shen. The network helps show where Richard Shen may publish in the future.

Co-authorship network of co-authors of Richard Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Shen. A scholar is included among the top collaborators of Richard Shen 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 Richard Shen. Richard Shen 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.
Zou, Wei, Chang Liu, Han Wang, et al.. (2025). TPS genes expression pattern and terpenoids content in the leaves and flowers of Chimonanthus praecox and C. salicifolius. Scientific Reports. 15(1). 19474–19474.
2.
Babu, Kesavan, Yue Li, Richard Shen, et al.. (2025). Structural integrity and side-chain interaction at the loop region of the bridge helix modulate Cas9 substrate discrimination. Nucleic Acids Research. 53(12).
4.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). High density DNA methylation array with single CpG site resolution. Genomics. 98(4). 288–295. 1177 indexed citations breakdown →
5.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). Abstract LB-176: A novel high density DNA methylation array with single CpG site resolution. Cancer Research. 71(8_Supplement). LB–176. 4 indexed citations
6.
Bryant, Douglas W., Samuel E. Fox, Henry D. Priest, et al.. (2010). DISCOVERY OF SNP MARKERS IN EXPRESSED GENES OF HAZELNUT. Acta Horticulturae. 289–294. 2 indexed citations
7.
Shen, Richard, et al.. (2009). Strengthening and Neuromuscular Reeducation of the Gluteus Maximus in a Triathlete with Exercise-Associated Cramping of the Hamstrings. Journal of Orthopaedic and Sports Physical Therapy. 40(2). 112–119. 42 indexed citations
8.
Lin, Charles, Joanne M. Yeakley, Timothy K. McDaniel, & Richard Shen. (2009). Medium- to High-Throughput SNP Genotyping Using VeraCode Microbeads. Methods in molecular biology. 496. 129–142. 82 indexed citations
9.
Eberle, Michael A., Pauline C. Ng, Kenneth Kuhn, et al.. (2007). Power to Detect Risk Alleles Using Genome-Wide Tag SNP Panels. PLoS Genetics. 3(10). e170–e170. 74 indexed citations
10.
Gunderson, Kevin L., Frank J. Steemers, Pauline C. Ng, et al.. (2006). Whole‐Genome Genotyping. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 359–376. 83 indexed citations
11.
Peiffer, Daniel A., Jennie Le, Frank J. Steemers, et al.. (2006). High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Research. 16(9). 1136–1148. 373 indexed citations
12.
Fan, Jian‐Bing, Kevin L. Gunderson, Marina Bibikova, et al.. (2006). [3] Illumina Universal Bead Arrays. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 57–73. 220 indexed citations
13.
Gunderson, Kevin L., Kenneth Kuhn, Frank J. Steemers, et al.. (2006). Whole-Genome Genotyping of Haplotype Tag Single Nucleotide Polymorphisms. Pharmacogenomics. 7(4). 641–648. 53 indexed citations
14.
Steemers, Frank J., Weihua Chang, Grace Lee, et al.. (2005). Whole-genome genotyping with the single-base extension assay. Nature Methods. 3(1). 31–33. 263 indexed citations
15.
Shen, Richard, Jian‐Bing Fan, Weihua Chang, et al.. (2005). High-throughput SNP genotyping on universal bead arrays. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 573(1-2). 70–82. 299 indexed citations
16.
Eberle, Michael A., Kenneth Kuhn, Daniel A. Peiffer, et al.. (2005). Power to Detect Risk Alleles Using Genome-Wide Tag SNP Panels. PLoS Genetics. preprint(2007). e170–e170. 1 indexed citations
17.
Barker, David, Mark S. Hansen, A. Fawad Faruqi, et al.. (2004). Two Methods of Whole-Genome Amplification Enable Accurate Genotyping Across a 2320-SNP Linkage Panel. Genome Research. 14(5). 901–907. 176 indexed citations
18.
Fan, Jian‐Bing, Joanne M. Yeakley, Marina Bibikova, et al.. (2004). A Versatile Assay for High-Throughput Gene Expression Profiling on Universal Array Matrices. Genome Research. 14(5). 878–885. 148 indexed citations
19.
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
20.
Barker, David, et al.. (2003). Self-assembled random arrays: high-performance imaging and genomics applications on a high-density microarray platform. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4966. 1–1. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026