Mark Scally

17 papers receiving 2.8k citations

Mark Scally's Hit Papers

Resolution of the Early Placental Mammal Radiation Using Bayesian Phylogenetics 2001 · 1.0k citations
1.0k0+8+16Years since publication2505007501000

Peers

Mark Scally
Comparison fields: 5 of 119
  • Horticulture 203
  • Paleontology 953
  • Ecology, Evolution, Behavior and Systematics 634
  • Genetics 757
  • Developmental Biology 53
Replace Michael Suleski with:
Michael Suleski United States
Omar Rota‐Stabelli Italy
Jesse N. Weber United States
Kim Roelants Belgium
Joseph W. Brown United States
Wesley C. Warren United States
Bret A. Payseur United States
Julian Catchen United States
Brant K. Peterson United States
Stephen Richards United States
Mark Scally relative to Michael Suleski United States Michael Suleski's profile →
Citations per field
00.5×11.3×
Michael Suleski · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mark Scally, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Scally Line = papers co-authored together Mark Scally links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Resolution of the Early Placental Mammal Radiation Using Bayesian Phylogenetics
Hit paper breakdown →
20011005
2
Parallel adaptive radiations in two major clades of placental mammals
Hit paper breakdown →
2001522
3 2000234
4 2006225
5 2002199
6 2005112
7 2005107
8 200392
9 201489
10 200170
11 200660
12 200054
13 201129
14 201623
15 200620
16 197813
17 200311

About Mark Scally

Mark Scally is a scholar working on Paleontology, Molecular Biology, Ecology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 2.9k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (7 papers), Genomics and Phylogenetic Studies (5 papers), Phytoplasmas and Hemiptera pathogens (3 papers), Bat Biology and Ecology Studies (3 papers), Genetic diversity and population structure (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogenic Bacteria Studies (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Horticulture (203 citations), Paleontology (953 citations), Ecology, Evolution, Behavior and Systematics (634 citations), Genetics (757 citations) and Developmental Biology (53 citations). Mark Scally has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael J. Stanhope, Mark S. Springer, Ole Madsen, Wilfried W. de Jong, Christophe J. Douady, Emma C. Teeling, William J. Murphy, Diana J. Kao, Oliver A. Ryder and Stephen J. O’Brien. Their work appears in journals such as Molecular Phylogenetics and Evolution, Applied and Environmental Microbiology, Nature, Virology and Molecular Biology and Evolution.

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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