Michael G. Bertram

101 papers receiving 2.9k citations

Michael G. Bertram's Hit Papers

Big-data approaches lead to an increased understanding of the ecology of animal movement 2022 · 346 citations
3460+2+5Years since publication100200300

Peers

Michael G. Bertram
Comparison fields: 5 of 159
  • Pollution 895
  • Health, Toxicology and Mutagenesis 758
  • Physiology 179
  • Nature and Landscape Conservation 427
  • Ecological Modeling 118
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D. Michael Fry United States
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Countries citing papers authored by Michael G. Bertram

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Bertram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Bertram. 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 Michael G. Bertram. The network helps show where Michael G. Bertram may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big-data approaches lead to an increased understanding of the ecology of animal movement
Hit paper breakdown →
2022346
2
Direct and indirect effects of chemical contaminants on the behaviour, ecology and evolution of wildlife
Hit paper breakdown →
2018345
3 2021180
4 2017123
5 2022106
6 202277
7 201875
8 201971
9 201870
10 202062
11 202360
12 202059
13 201858
14 202158
15 201558
16 202151
17 202250
18 201845
19 202044
20 201844

About Michael G. Bertram

Michael G. Bertram is a scholar working on Pollution, Nature and Landscape Conservation, Physiology, Agronomy and Crop Science and Health, Toxicology and Mutagenesis, having authored 111 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (29 papers), Fish Ecology and Management Studies (22 papers), Ruminant Nutrition and Digestive Physiology (15 papers), Reproductive biology and impacts on aquatic species (15 papers), Environmental Toxicology and Ecotoxicology (14 papers), Animal Behavior and Reproduction (9 papers), Aquaculture disease management and microbiota (7 papers) and Marine animal studies overview (7 papers). The work is most often cited by research in Pollution (895 citations), Health, Toxicology and Mutagenesis (758 citations), Physiology (179 citations), Nature and Landscape Conservation (427 citations) and Ecological Modeling (118 citations). Michael G. Bertram has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Bob B. M. Wong, Jake M. Martin, Minna Saaristo, Tomas Brodin, Erin S. McCallum, Marcus Michelangeli, Bryan W. Brooks, Wayne K. Coblentz, Hung Tan and Andrew Sih. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Environmental Science & Technology, Agronomy Journal, Current Biology and Journal of Dairy 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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