Mark Scally

17 papers receiving 2.8k citations

Hit Papers

Parallel adaptive radiations in two major clades of placental mammals 2001 · 520 citations
5200+8+16Years since publication2505007501000

Peers

Mark Scally
Comparison fields: 5 of 121
  • Horticulture 215
  • Paleontology 988
  • Ecology, Evolution, Behavior and Systematics 651
  • Genetics 819
  • Developmental Biology 53
Replace Michael Suleski with:
Michael Suleski United States
Omar Rota‐Stabelli Italy
Rute R. da Fonseca Denmark
Brant K. Peterson United States
Jesse N. Weber United States
Joseph W. Brown United States
Paul D. Etter United States
Eric A. Johnson United States
Susan Bassham United States
John W. Davey United Kingdom
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 →
20011003
2
Parallel adaptive radiations in two major clades of placental mammals
Hit paper breakdown →
2001520
3 2000232
4 2006224
5 2002199
6 2005112
7 2005106
8 200392
9 201488
10 200170
11 200660
12 200053
13 201128
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), Genetic diversity and population structure (3 papers), Bat Biology and Ecology Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Physiological and biochemical adaptations (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Horticulture (215 citations), Paleontology (988 citations), Ecology, Evolution, Behavior and Systematics (651 citations), Genetics (819 citations) and Developmental Biology (53 citations). Mark Scally has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark S. Springer, Michael J. Stanhope, Wilfried W. de Jong, Ole Madsen, Christophe J. Douady, Emma C. Teeling, Eduardo Eizirik, Stephen J. O’Brien, Oliver A. Ryder and William J. Murphy. Their work appears in journals such as Molecular Phylogenetics and Evolution, Applied and Environmental Microbiology, Nature, The Journal of Infectious Diseases 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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