Mark Scally

4.9k total citations · 2 hit papers
17 papers, 2.9k citations indexed

About

Mark Scally is a scholar working on Paleontology, Molecular Biology and Ecology. According to data from OpenAlex, Mark Scally has authored 17 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Paleontology, 6 papers in Molecular Biology and 4 papers in Ecology. Recurrent topics in Mark Scally's work include Evolution and Paleontology Studies (7 papers), Genomics and Phylogenetic Studies (5 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). Mark Scally is often cited by papers focused on Evolution and Paleontology Studies (7 papers), Genomics and Phylogenetic Studies (5 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). Mark Scally collaborates with scholars based in United States, United Kingdom and Netherlands. Mark Scally's co-authors include Mark S. Springer, Michael J. Stanhope, Wilfried W. de Jong, Ole Madsen, Christophe J. Douady, Emma C. Teeling, Oliver A. Ryder, William J. Murphy, Stephen J. O’Brien and Eduardo Eizirik and has published in prestigious journals such as Nature, Science and PLoS ONE.

In The Last Decade

Mark Scally

17 papers receiving 2.8k citations

Hit Papers

Resolution of the Early Placental Mammal Radiation Using ... 2001 2026 2009 2017 2001 2001 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
Mark Scally United States 15 1.1k 988 819 651 584 17 2.9k
Michael Suleski United States 5 1.8k 1.5× 265 0.3× 830 1.0× 529 0.8× 863 1.5× 7 3.5k
Christoph Bleidorn Germany 37 1.4k 1.2× 551 0.6× 900 1.1× 1.2k 1.9× 328 0.6× 104 4.4k
Rute R. da Fonseca Denmark 25 1.1k 1.0× 186 0.2× 914 1.1× 325 0.5× 206 0.4× 58 2.4k
Omar Rota‐Stabelli Italy 29 1000 0.9× 663 0.7× 571 0.7× 781 1.2× 556 1.0× 61 3.2k
Joseph W. Brown United States 27 2.0k 1.7× 1.0k 1.0× 1.5k 1.8× 2.7k 4.1× 1.2k 2.1× 37 5.3k
Brant K. Peterson United States 15 1.6k 1.4× 167 0.2× 2.2k 2.7× 784 1.2× 686 1.2× 15 4.0k
Jesse N. Weber United States 21 1.4k 1.2× 190 0.2× 2.5k 3.0× 874 1.3× 638 1.1× 34 4.3k
Vladimir V. Kapitonov United States 29 4.9k 4.3× 565 0.6× 1.2k 1.4× 244 0.4× 4.0k 6.8× 38 6.9k
Matthew K. Fujita United States 28 1.1k 0.9× 366 0.4× 1.9k 2.3× 968 1.5× 409 0.7× 77 3.4k
Eric J. Routman United States 31 859 0.8× 311 0.3× 2.8k 3.5× 742 1.1× 784 1.3× 54 4.3k

Countries citing papers authored by Mark Scally

Since Specialization
Citations

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

Fields of papers citing papers by Mark Scally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Scally

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

All Works

17 of 17 papers shown
1.
Scally, Mark, et al.. (2016). Resolution of inter and intra-species relationships of the West Indian fruit fly Anastrepha obliqua. Molecular Phylogenetics and Evolution. 101. 286–293. 23 indexed citations
2.
Nunney, Leonard, Erin L. Schuenzel, Mark Scally, Robin E. Bromley, & Richard Stouthamer. (2014). Large-Scale Intersubspecific Recombination in the Plant-Pathogenic Bacterium Xylella fastidiosa Is Associated with the Host Shift to Mulberry. Applied and Environmental Microbiology. 80(10). 3025–3033. 88 indexed citations
4.
Goldstone, Jared V., Amro Hamdoun, Bryan J. Cole, et al.. (2006). The chemical defensome: Environmental sensing and response genes in the Strongylocentrotus purpuratus genome. Developmental Biology. 300(1). 366–384. 224 indexed citations
5.
Li, Xing, Bert Gold, Colm Ó’hUigín, et al.. (2006). Unique features of TRIM5α among closely related human TRIM family members. Virology. 360(2). 419–433. 60 indexed citations
7.
Schuenzel, Erin L., Mark Scally, Richard Stouthamer, & Leonard Nunney. (2005). A Multigene Phylogenetic Study of Clonal Diversity and Divergence in North American Strains of the Plant Pathogen Xylella fastidiosa. Applied and Environmental Microbiology. 71(7). 3832–3839. 106 indexed citations
8.
Scally, Mark, Erin L. Schuenzel, Richard Stouthamer, & Leonard Nunney. (2005). Multilocus Sequence Type System for the Plant Pathogen Xylella fastidiosa and Relative Contributions of Recombination and Point Mutation to Clonal Diversity. Applied and Environmental Microbiology. 71(12). 8491–8499. 112 indexed citations
9.
Douady, Christophe J., Mark Scally, Mark S. Springer, & Michael J. Stanhope. (2003). “Lipotyphlan” phylogeny based on the growth hormone receptor gene: a reanalysis. Molecular Phylogenetics and Evolution. 30(3). 778–788. 11 indexed citations
10.
Amrine‐Madsen, Heather, Mark Scally, Michael Westerman, et al.. (2003). Nuclear gene sequences provide evidence for the monophyly of australidelphian marsupials. Molecular Phylogenetics and Evolution. 28(2). 186–196. 92 indexed citations
11.
Delsuc, Frédéric, Mark Scally, Ole Madsen, et al.. (2002). Molecular Phylogeny of Living Xenarthrans and the Impact of Character and Taxon Sampling on the Placental Tree Rooting. Molecular Biology and Evolution. 19(10). 1656–1671. 199 indexed citations
12.
Madsen, Ole, Mark Scally, Christophe J. Douady, et al.. (2001). Parallel adaptive radiations in two major clades of placental mammals. Nature. 409(6820). 610–614. 520 indexed citations breakdown →
13.
Scally, Mark, Ole Madsen, Christophe J. Douady, et al.. (2001). Molecular Evidence for the Major Clades of Placental Mammals. Journal of Mammalian Evolution. 8(4). 239–277. 70 indexed citations
14.
Murphy, William J., Eduardo Eizirik, Stephen J. O’Brien, et al.. (2001). Resolution of the Early Placental Mammal Radiation Using Bayesian Phylogenetics. Science. 294(5550). 2348–2351. 1003 indexed citations breakdown →
15.
Teeling, Emma C., et al.. (2000). Molecular evidence regarding the origin of echolocation and flight in bats. Nature. 403(6766). 188–192. 232 indexed citations
16.
Hughes, M S, Mark Scally, Richard Malík, et al.. (2000). Identification by 16S rRNA Gene Analyses of a Potential Novel Mycobacterial Species as an Etiological Agent of Canine Leproid Granuloma Syndrome. Journal of Clinical Microbiology. 38(3). 953–959. 53 indexed citations
17.
Glass, Roger I., Eva Brann, W. E. Jones, et al.. (1978). Community-Wide Surveillance of Influenza after Outbreaks Due to H3N2 (A/Victoria/75 and A/Texas/77) and H1Nl (A/USSR/77) Influenza Viruses, Mercer County, New Jersey, 1978. The Journal of Infectious Diseases. 138(5). 703–706. 13 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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