Mary Schaeffer

4.3k total citations
23 papers, 1.6k citations indexed

About

Mary Schaeffer is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mary Schaeffer has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Mary Schaeffer's work include Genomics and Phylogenetic Studies (13 papers), Chromosomal and Genetic Variations (9 papers) and Biomedical Text Mining and Ontologies (6 papers). Mary Schaeffer is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Chromosomal and Genetic Variations (9 papers) and Biomedical Text Mining and Ontologies (6 papers). Mary Schaeffer collaborates with scholars based in United States, France and Germany. Mary Schaeffer's co-authors include Lisa Harper, Seung Y. Rhee, Darwin A. Campbell, Taner Z. Sen, Carolyn J. Lawrence, Carson M. Andorf, Ethalinda K. S. Cannon, Jack M. Gardiner, Douglas G. Howe and Simon Twigger and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Mary Schaeffer

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Schaeffer United States 18 909 777 453 183 104 23 1.6k
Matthias Lange Germany 20 674 0.7× 673 0.9× 133 0.3× 109 0.6× 119 1.1× 65 1.3k
Oswaldo Trelles Spain 22 701 0.8× 350 0.5× 208 0.5× 128 0.7× 134 1.3× 82 1.4k
Stephen Ficklin United States 21 948 1.0× 1.0k 1.4× 235 0.5× 31 0.2× 48 0.5× 55 1.7k
Dan Bolser United Kingdom 17 794 0.9× 707 0.9× 167 0.4× 41 0.2× 59 0.6× 28 1.4k
Pankaj Jaiswal United States 29 1.7k 1.8× 1.6k 2.0× 562 1.2× 175 1.0× 54 0.5× 81 2.7k
Robert Müller Germany 13 636 0.7× 560 0.7× 77 0.2× 195 1.1× 181 1.7× 33 1.3k
Chris Rawlings United Kingdom 22 971 1.1× 379 0.5× 169 0.4× 106 0.6× 15 0.1× 82 1.5k
Amelia Ireland United Kingdom 5 2.4k 2.6× 246 0.3× 360 0.8× 955 5.2× 119 1.1× 5 3.1k
David B. Searls United States 22 1.5k 1.6× 167 0.2× 168 0.4× 327 1.8× 43 0.4× 49 1.9k
Lan Yi United States 8 590 0.6× 275 0.4× 300 0.7× 182 1.0× 278 2.7× 12 1.6k

Countries citing papers authored by Mary Schaeffer

Since Specialization
Citations

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

Fields of papers citing papers by Mary Schaeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Schaeffer

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Schaeffer. A scholar is included among the top collaborators of Mary Schaeffer 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 Mary Schaeffer. Mary Schaeffer 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.
Woodhouse, Margaret, Ethalinda K. S. Cannon, John L. Portwood, et al.. (2021). A pan-genomic approach to genome databases using maize as a model system. BMC Plant Biology. 21(1). 385–385. 124 indexed citations
2.
Verlingue, Loïc, et al.. (2018). PREDMED®, a normalized expression signature of drug targets versus reference tissues aiming at generalizing treatment personalization. Annals of Oncology. 29. vi9–vi9. 1 indexed citations
3.
Walsh, Jesse R., Mary Schaeffer, Peifen Zhang, et al.. (2016). The quality of metabolic pathway resources depends on initial enzymatic function assignments: a case for maize. BMC Systems Biology. 10(1). 129–129. 6 indexed citations
4.
Andorf, Carson M., Ethalinda K. S. Cannon, John L. Portwood, et al.. (2015). MaizeGDB update: new tools, data and interface for the maize model organism database. Nucleic Acids Research. 44(D1). D1195–D1201. 142 indexed citations
5.
Schaeffer, Mary, Peter McQuilton, Stanley J. F. Laulederkind, et al.. (2014). BC4GO: a full-text corpus for the BioCreative IV GO task. Database. 2014(0). bau074–bau074. 32 indexed citations
6.
Sen, Taner Z., Palitha Dharmawardhana, Liya Ren, et al.. (2013). Maize Metabolic Network Construction and Transcriptome Analysis. The Plant Genome. 6(1). 69 indexed citations
7.
Schaeffer, Mary, et al.. (2011). Multi-source and ontology-based retrieval engine for maize mutant phenotypes. Database. 2011(0). bar012–bar012. 4 indexed citations
8.
Schaeffer, Mary, Lisa Harper, Jack M. Gardiner, et al.. (2011). MaizeGDB: curation and outreach go hand-in-hand. Database. 2011(0). bar022–bar022. 52 indexed citations
9.
Harper, Lisa, Mary Schaeffer, Jack M. Gardiner, et al.. (2011). The MaizeGDB Genome Browser tutorial: one example of database outreach to biologists via video. Database. 2011(0). bar016–bar016. 17 indexed citations
10.
Sen, Taner Z., Lisa Harper, Mary Schaeffer, et al.. (2010). Choosing a genome browser for a Model Organism Database: surveying the Maize community. Database. 2010. baq007–baq007. 29 indexed citations
11.
Wei, Fusheng, Jianwei Zhang, Shiguo Zhou, et al.. (2009). The Physical and Genetic Framework of the Maize B73 Genome. PLoS Genetics. 5(11). e1000715–e1000715. 78 indexed citations
12.
Sen, Taner Z., Carson M. Andorf, Mary Schaeffer, et al.. (2009). MaizeGDB becomes 'sequence-centric'. Database. 2009(0). bap020–bap020. 44 indexed citations
13.
Howe, Douglas G., Maria C. Costanzo, Petra Fey, et al.. (2008). The future of biocuration. Nature. 455(7209). 47–50. 459 indexed citations
14.
Tung, Chih‐Wei, Katica Ilic, Pankaj Jaiswal, et al.. (2008). The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations. Nucleic Acids Research. 36(suppl_1). D449–D454. 114 indexed citations
15.
Lawrence, Carolyn J., et al.. (2008). MaizeGDB: The Maize Model Organism Database for Basic, Translational, and Applied Research. PubMed. 2008. 1–10. 77 indexed citations
16.
Lawrence, Carolyn J., et al.. (2007). MaizeGDB's new data types, resources and activities. Nucleic Acids Research. 35(Database). D895–D900. 42 indexed citations
17.
Yim, Young‐Sun, Héctor Sánchez‐Villeda, Theresa A. Musket, et al.. (2007). A BAC pooling strategy combined with PCR-based screenings in a large, highly repetitive genome enables integration of the maize genetic and physical maps. BMC Genomics. 8(1). 47–47. 34 indexed citations
18.
Ilic, Katica, Elizabeth A. Kellogg, Pankaj Jaiswal, et al.. (2006). The Plant Structure Ontology, a Unified Vocabulary of Anatomy and Morphology of a Flowering Plant. PLANT PHYSIOLOGY. 143(2). 587–599. 81 indexed citations
19.
Jaiswal, Pankaj, Katica Ilic, Elizabeth A. Kellogg, et al.. (2005). Plant Ontology (PO): a controlled vocabulary of plant structures and growth stages. Comparative and Functional Genomics. 6(7-8). 388–397. 110 indexed citations
20.
Jaiswal, Pankaj, Katica Ilic, Elizabeth A. Kellogg, et al.. (2005). Plant Ontology (PO): a controlled vocabulary of plant structures and growth stages: Research Articles. 6(7). 388–397. 1 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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