Todd Richmond

20.6k total citations · 4 hit papers
69 papers, 8.5k citations indexed

About

Todd Richmond is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Todd Richmond has authored 69 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 35 papers in Plant Science and 20 papers in Genetics. Recurrent topics in Todd Richmond's work include Chromosomal and Genetic Variations (25 papers), Genomic variations and chromosomal abnormalities (17 papers) and Genomics and Phylogenetic Studies (10 papers). Todd Richmond is often cited by papers focused on Chromosomal and Genetic Variations (25 papers), Genomic variations and chromosomal abnormalities (17 papers) and Genomics and Phylogenetic Studies (10 papers). Todd Richmond collaborates with scholars based in United States, Switzerland and United Kingdom. Todd Richmond's co-authors include Roland D. Green, Shauna Somerville, Rebecca R. Selzer, Jonathan P. Anderson, Kemal Kazan, Peer M. Schenk, Iain W. Wilson, John M. Manners, Chris Somerville and Jeffrey A. Jeddeloh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Todd Richmond

67 papers receiving 8.3k citations

Hit Papers

Coordinated plant defense responses in Arabidopsis reveal... 2000 2026 2008 2017 2000 2006 2005 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
Todd Richmond United States 39 5.4k 4.0k 2.3k 476 260 69 8.5k
Marjori Matzke Austria 60 10.5k 2.0× 10.7k 2.7× 1.3k 0.6× 1.4k 3.0× 226 0.9× 141 15.4k
Dana Carroll United States 44 8.4k 1.6× 1.9k 0.5× 2.1k 0.9× 206 0.4× 482 1.9× 116 9.2k
Mary Lou Pardue United States 50 7.3k 1.4× 3.1k 0.8× 1.9k 0.8× 280 0.6× 395 1.5× 100 8.9k
Vincenzo Pirrotta United States 66 13.1k 2.4× 4.0k 1.0× 2.9k 1.2× 474 1.0× 221 0.8× 136 14.4k
Gregory J. Cost United States 27 7.5k 1.4× 1.7k 0.4× 1.7k 0.7× 222 0.5× 105 0.4× 45 8.4k
Fyodor D. Urnov United States 39 11.6k 2.2× 1.4k 0.3× 3.6k 1.5× 304 0.6× 272 1.0× 84 13.4k
Rajinder Kaul United States 39 5.0k 0.9× 865 0.2× 2.9k 1.3× 324 0.7× 61 0.2× 65 7.2k
Peter B. Becker Germany 64 13.0k 2.4× 2.4k 0.6× 2.4k 1.0× 716 1.5× 162 0.6× 191 14.7k
Scott E. Devine United States 28 4.0k 0.8× 1.9k 0.5× 1.4k 0.6× 314 0.7× 39 0.1× 36 5.3k

Countries citing papers authored by Todd Richmond

Since Specialization
Citations

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

Fields of papers citing papers by Todd Richmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Richmond

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Richmond. A scholar is included among the top collaborators of Todd Richmond 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 Todd Richmond. Todd Richmond 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.
Mills, Lauren J., Milcah C. Scott, Pankti Shah, et al.. (2020). Comparative analysis of genome-wide DNA methylation identifies patterns that associate with conserved transcriptional programs in osteosarcoma. Bone. 158. 115716–115716. 9 indexed citations
2.
Gardiner, Laura‐Jayne, Thomas Brabbs, Katherine W. Jordan, et al.. (2019). Integrating genomic resources to present full gene and putative promoter capture probe sets for bread wheat. GigaScience. 8(4). 16 indexed citations
3.
Baalsrud, Helle Tessand, Ave Tooming‐Klunderud, Morten Skage, et al.. (2018). Long‐read sequence capture of the haemoglobin gene clusters across codfish species. Molecular Ecology Resources. 19(1). 245–259. 4 indexed citations
4.
Li, Qing, Masako Suzuki, Jennifer Wendt, et al.. (2015). Post-conversion targeted capture of modified cytosines in mammalian and plant genomes. Nucleic Acids Research. 43(12). e81–e81. 42 indexed citations
5.
Tan, John C., et al.. (2015). Targeted LncRNA Sequencing with the SeqCap RNA Enrichment System. Methods in molecular biology. 1402. 73–100. 2 indexed citations
6.
Li, Qing, Steven R. Eichten, Peter J. Hermanson, et al.. (2014). Genetic Perturbation of the Maize Methylome. The Plant Cell. 26(12). 4602–4616. 139 indexed citations
7.
Forsström, Björn, Klaus‐Peter Stengele, Thomas J. Albert, et al.. (2014). Proteome-wide Epitope Mapping of Antibodies Using Ultra-dense Peptide Arrays. Molecular & Cellular Proteomics. 13(6). 1585–1597. 100 indexed citations
8.
Liu, Sanzhen, Kai Ying, Cheng‐Ting Yeh, et al.. (2012). Changes in genome content generated via segregation of non‐allelic homologs. The Plant Journal. 72(3). 390–399. 16 indexed citations
9.
Haun, William J., David L. Hyten, Wayne Wenzhong Xu, et al.. (2010). The Composition and Origins of Genomic Variation among Individuals of the Soybean Reference Cultivar Williams 82    . PLANT PHYSIOLOGY. 155(2). 645–655. 106 indexed citations
10.
Bainbridge, Matthew N., Min Wang, Daniel L. Burgess, et al.. (2010). Whole exome capture in solution with 3 Gbp of data. Genome biology. 11(6). R62–R62. 120 indexed citations
11.
Springer, Nathan M., Kai Ying, Yan Fu, et al.. (2009). Maize Inbreds Exhibit High Levels of Copy Number Variation (CNV) and Presence/Absence Variation (PAV) in Genome Content. PLoS Genetics. 5(11). e1000734–e1000734. 378 indexed citations
12.
Flibotte, Stéphane, Mark L. Edgley, Rebecca R. Selzer, et al.. (2007). Efficient high-resolution deletion discovery in Caenorhabditis elegans by array comparative genomic hybridization. Genome Research. 17(3). 337–347. 78 indexed citations
13.
Selzer, Rebecca R., et al.. (2007). Methods in High-Resolution, Array-Based Comparative Genomic Hybridization. 189–211. 6 indexed citations
14.
Albert, Thomas J., Michael Molla, Donna M. Muzny, et al.. (2007). Direct selection of human genomic loci by microarray hybridization. Nature Methods. 4(11). 903–905. 468 indexed citations
15.
Khulan, Batbayar, Reid F. Thompson, Kenny Ye, et al.. (2006). Comparative isoschizomer profiling of cytosine methylation: The HELP assay. Genome Research. 16(8). 1046–1055. 287 indexed citations
16.
Sharp, Andrew J., Rebecca R. Selzer, Ze Cheng, et al.. (2006). Discovery of previously unidentified genomic disorders from the duplication architecture of the human genome. Nature Genetics. 38(9). 1038–1042. 429 indexed citations
17.
Rice, Gregory M., et al.. (2006). Microdissection‐based high‐resolution genomic array analysis of two patients with cytogenetically identical interstitial deletions of chromosome 1q but distinct clinical phenotypes. American Journal of Medical Genetics Part A. 140A(15). 1637–1643. 11 indexed citations
18.
Schenk, Peer M., Kemal Kazan, Iain W. Wilson, et al.. (2000). Coordinated plant defense responses in Arabidopsis revealed by microarray analysis. Proceedings of the National Academy of Sciences. 97(21). 11655–11660. 1073 indexed citations breakdown →
19.
Richmond, Todd. (2000). Gene recognition via spliced alignment. Genome biology. 1(1). 17 indexed citations
20.
Richmond, Todd. (2000). A simple modular architecture research tool for the identification of signaling domains. Genome biology. 1(1). 7 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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