Michael J. Polito

2.7k citations
91 papers · 2.0k indexed · h-index 28

Michael J. Polito

83 papers receiving 1.9k citations

Peers

Michael J. Polito
Comparison fields: 5 of 86
  • Ecology 1.7k
  • Global and Planetary Change 596
  • Health, Toxicology and Mutagenesis 365
  • Ecological Modeling 107
  • Oceanography 209
Replace Daniel H. Monson with:
Daniel H. Monson United States
Sébastien Jaquemet Réunion
Matthieu Le Corre Réunion
Wayne Z. Trivelpiece United States
Svein‐Håkon Lorentsen Norway
Lorenzo Rojas‐Bracho Mexico
Andrea Raya Rey Argentina
Stéphane Caut France
Leszek Karczmarski Hong Kong
Manuel Biscoito Portugal
Michael J. Polito relative to Daniel H. Monson United States Daniel H. Monson's profile →
Citations per field
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Daniel H. Monson · 1×
Citations per year

Countries citing papers authored by Michael J. Polito

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Polito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20243
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12 202126
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14 20214
15 201863
16
Quantifying Trophic Interactions and Carbon Flow in Louisiana Salt Marshes Using Multiple Biomarkers
20171
17 201711
18 201220
19 201126
20 20106

About Michael J. Polito

Michael J. Polito is a scholar working on Ecology, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (62 papers), Marine animal studies overview (43 papers), Avian ecology and behavior (35 papers), Marine and fisheries research (30 papers), Mercury impact and mitigation studies (12 papers), Coastal wetland ecosystem dynamics (7 papers), Geology and Paleoclimatology Research (6 papers) and Marine and coastal plant biology (6 papers). The work is most often cited by research in Ecology (1.7k citations), Global and Planetary Change (596 citations) and Health, Toxicology and Mutagenesis (365 citations). Michael J. Polito has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include Steven D. Emslie, Rebecka L. Brasso, William P. Patterson, Wayne Z. Trivelpiece, Andrea Raya Rey, Tom Hart, Simon R. Thorrold, Matthew D. McCarthy, Kelton W. McMahon and Nina J. Karnovsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

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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