Gregory D. Schuler

10.1k total citations · 1 hit paper
25 papers, 3.3k citations indexed

About

Gregory D. Schuler is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Gregory D. Schuler has authored 25 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in Gregory D. Schuler's work include Genomics and Phylogenetic Studies (14 papers), Molecular Biology Techniques and Applications (6 papers) and RNA and protein synthesis mechanisms (6 papers). Gregory D. Schuler is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Molecular Biology Techniques and Applications (6 papers) and RNA and protein synthesis mechanisms (6 papers). Gregory D. Schuler collaborates with scholars based in United States and Netherlands. Gregory D. Schuler's co-authors include Stephen F. Altschul, David J. Lipman, Mark S. Boguski, Michael D. Cole, Jonathan A. Kans, Jonathan A. Epstein, Hitomi Ohkawa, Gregory J. Riggins, Alex Lash and Lukas Wagner and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Gregory D. Schuler

25 papers receiving 3.2k citations

Hit Papers

A workbench for multiple alignment construction and analysis 1991 2026 2002 2014 1991 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory D. Schuler United States 18 2.6k 623 476 191 174 25 3.3k
Richard Mural United States 26 1.9k 0.8× 716 1.1× 247 0.5× 115 0.6× 100 0.6× 73 2.5k
Radomir Crkvenjakov United States 16 2.4k 0.9× 652 1.0× 357 0.8× 386 2.0× 273 1.6× 30 3.6k
Winona C. Barker United States 29 2.7k 1.1× 514 0.8× 305 0.6× 309 1.6× 224 1.3× 55 3.7k
James W. Fickett United States 23 3.7k 1.4× 584 0.9× 421 0.9× 105 0.5× 68 0.4× 43 4.1k
Stephen M. J. Searle United Kingdom 11 1.5k 0.6× 371 0.6× 391 0.8× 151 0.8× 81 0.5× 12 2.1k
Philip Bucher Germany 9 2.0k 0.8× 273 0.4× 353 0.7× 280 1.5× 110 0.6× 12 2.8k
Martin G. Reese United States 20 2.9k 1.1× 1.4k 2.2× 324 0.7× 234 1.2× 131 0.8× 25 4.4k
Carolina Perez‐Iratxeta Canada 25 2.4k 0.9× 405 0.7× 150 0.3× 120 0.6× 143 0.8× 37 3.0k
Jenny M. Kelley United States 11 2.2k 0.9× 646 1.0× 478 1.0× 215 1.1× 139 0.8× 14 3.0k
Pascale Gaudet Switzerland 24 2.2k 0.9× 365 0.6× 211 0.4× 185 1.0× 164 0.9× 69 3.2k

Countries citing papers authored by Gregory D. Schuler

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Schuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory D. Schuler. 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 Gregory D. Schuler. The network helps show where Gregory D. Schuler may publish in the future.

Co-authorship network of co-authors of Gregory D. Schuler

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory D. Schuler. A scholar is included among the top collaborators of Gregory D. Schuler 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 Gregory D. Schuler. Gregory D. Schuler 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.
Fingerman, Ian M., et al.. (2012). NCBI Epigenomics: What’s new for 2013. Nucleic Acids Research. 41(D1). D221–D225. 17 indexed citations
2.
Fingerman, Ian M., Latisha McDaniel, Xiaoqing Zhang, et al.. (2010). NCBI Epigenomics: a new public resource for exploring epigenomic data sets. Nucleic Acids Research. 39(Database). D908–D912. 35 indexed citations
3.
Jang, Wonhee, Raluca Yonescu, Turid Knutsen, et al.. (2006). Linking the human cytogenetic map with nucleotide sequence: the CCAP clone set. Cancer Genetics and Cytogenetics. 168(2). 89–97. 6 indexed citations
4.
Jang, Wonhee, et al.. (2004). A web server for performing electronic PCR. Nucleic Acids Research. 32(Web Server). W108–W112. 75 indexed citations
5.
Wolfsberg, Tyra G., Johanna McEntyre, & Gregory D. Schuler. (2001). Guide to the draft human genome. Nature. 409(6822). 824–826. 36 indexed citations
6.
Schuler, Gregory D.. (2001). Sequence Alignment and Database Searching. Methods of biochemical analysis. 43. 187–214. 4 indexed citations
7.
Agarwala, Richa, David Applegate, Donna Maglott, Gregory D. Schuler, & Alejandro A. Schäffer. (2000). A Fast and Scalable Radiation Hybrid Map Construction and Integration Strategy. Genome Research. 10(3). 350–364. 98 indexed citations
8.
Lash, Alex, Carolyn M. Tolstoshev, Lukas Wagner, et al.. (2000). SAGEmap: A Public Gene Expression Resource. Genome Research. 10(7). 1051–1060. 334 indexed citations
9.
Jang, Wonhee, et al.. (1999). Making effective use of human genomic sequence data. Trends in Genetics. 15(7). 284–286. 22 indexed citations
10.
Cheung, Vivian G., Jason A. Watts, Gregory D. Schuler, et al.. (1999). A Resource of Mapped Human Bacterial Artificial Chromosome Clones. Genome Research. 9(10). 989–993. 12 indexed citations
11.
Schuler, Gregory D.. (1998). Electronic PCR: bridging the gap between genome mapping and genome sequencing. Trends in biotechnology. 16(11). 456–459. 60 indexed citations
12.
Schuler, Gregory D.. (1998). Sequence Alignment and Database Searching. Methods of biochemical analysis. 39. 145–171. 27 indexed citations
13.
Ermolaeva, Olga, Mohit Rastogi, Kim D. Pruitt, et al.. (1998). Data management and analysis for gene expression arrays. Nature Genetics. 20(1). 19–23. 233 indexed citations
14.
Schuler, Gregory D.. (1997). Pieces of the puzzle: expressed sequence tags and the catalog of human genes. Journal of Molecular Medicine. 75(10). 694–698. 289 indexed citations
15.
Schuler, Gregory D.. (1997). Sequence Mapping by Electronic PCR. Genome Research. 7(5). 541–550. 279 indexed citations
16.
Schuler, Gregory D., Jonathan A. Epstein, Hitomi Ohkawa, & Jonathan A. Kans. (1996). [10] Entrez: Molecular biology database and retrieval system. Methods in enzymology on CD-ROM/Methods in enzymology. 266. 141–162. 295 indexed citations
17.
Wallace, Kimberlee K., Hong Dai, Russell J. DiGate, et al.. (1995). Purification of Crotonyl‐CoA Reductase from Streptomyces collinus and Cloning, Sequencing and Expression of the Corresponding Gene in Escherichia coli. European Journal of Biochemistry. 233(3). 954–962. 55 indexed citations
18.
Schuler, Gregory D., Stephen F. Altschul, & David J. Lipman. (1991). A workbench for multiple alignment construction and analysis. Proteins Structure Function and Bioinformatics. 9(3). 180–190. 878 indexed citations breakdown →
19.
Mango, Susan E., et al.. (1989). Germ Line c- myc Is Not Down-Regulated by Loss or Exclusion of Activating Factors in myc -Induced Macrophage Tumors. Molecular and Cellular Biology. 9(8). 3482–3490. 6 indexed citations
20.
Schuler, Gregory D. & Michael D. Cole. (1988). GM-CSF and oncogene mRNA stabilities are independently regulated in trans in a mouse monocytic tumor. Cell. 55(6). 1115–1122. 215 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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