Tim Scanlon

1.9k citations
25 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Tim Scanlon

25 papers receiving 1.1k citations

Tim Scanlon's Hit Papers

Unified Scaling Law for Earthquakes 2002 · 517 citations
5170+8+16Years since publication100200300400500

Peers

Tim Scanlon
Comparison fields: 5 of 125
  • Geophysics 412
  • Agronomy and Crop Science 175
  • Animal Science and Zoology 174
  • Statistical and Nonlinear Physics 120
  • Economics and Econometrics 250
Replace A. W. Davis with:
A. W. Davis United States
Robert L. Schaefer United States
Siqing Liu China
A. Massip Belgium
Churc̀hill Eisenhart United States
O. Heinisch Germany
Yongwimon Lenbury Thailand
Qun Liu China
Francis Ectors Belgium
Patricia Wouters-Ballman Belgium
Tim Scanlon relative to A. W. Davis United States A. W. Davis's profile →
Citations per field
00.5×10×20×31.7×
A. W. Davis · 1×
Citations per year

Countries citing papers authored by Tim Scanlon

Since Specialization
Citations

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

Fields of papers citing papers by Tim Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Scanlon, 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 Tim Scanlon Line = papers co-authored together Tim Scanlon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unified Scaling Law for Earthquakes
Hit paper breakdown →
2002517
2 2002148
3 200462
4 201347
5 201337
6 201635
7 202034
8 201233
9 201729
10 201529
11 201427
12 200925
13 201625
14 201223
15 202020
16 201216
17 201816
18 201913
19 20159
20 20157

About Tim Scanlon

Tim Scanlon is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Genetics, Physiology and Molecular Biology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (5 papers), Genetic and phenotypic traits in livestock (5 papers), Meat and Animal Product Quality (4 papers), Adipose Tissue and Metabolism (3 papers), Effects of Environmental Stressors on Livestock (3 papers), Radiation Therapy and Dosimetry (2 papers), Lipid metabolism and biosynthesis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Geophysics (412 citations), Agronomy and Crop Science (175 citations), Animal Science and Zoology (174 citations), Statistical and Nonlinear Physics (120 citations) and Economics and Econometrics (250 citations). Tim Scanlon has collaborated with scholars based in Australia, Portugal and Saint Kitts and Nevis. Frequent co-authors include Per Bak, Kim Christensen, León Danon, Chris Oldham, Tanya Kilminster, André M. Almeida, J. C. Greeff, John Milton, Erik J. Veneklaas and Gregory R. Cawthray. Their work appears in journals such as PLoS ONE, Journal of Proteomics, Crop and Pasture Science, Journal of Animal Physiology and Animal Nutrition and Animal Production Science.

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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