Stephen Amato

4.6k citations
14 papers · 2.3k · 1 hit paper · h-index 9

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Glycosylation and Glycoproteins Research 1
    • Pancreatic function and diabetes 3

Stephen Amato

14 papers receiving 2.2k citations

Stephen Amato's Hit Papers

Microplastic pollution in the surface waters of the Laurentian Great Lakes 2013 · 1.6k citations
1.6k0+4+8Years since publication50010001.5k

Peers

Stephen Amato
Comparison fields: 5 of 116
  • Industrial and Manufacturing Engineering 1.2k
  • Pollution 1.5k
  • Biomaterials 286
  • Clinical Biochemistry 123
  • Health, Toxicology and Mutagenesis 114
Replace Yingxin Chen with:
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Stephen Amato relative to Yingxin Chen China Yingxin Chen's profile →
Citations per field
00.5×5×12.3×
Yingxin Chen · 1×
Citations per year

Countries citing papers authored by Stephen Amato

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Microplastic pollution in the surface waters of the Laurentian Great Lakes
Hit paper breakdown →
20131559
2 2008166
3 2018145
4 2011118
5 1994109
6 200869
7 201162
8 201529
9 20128
10 20116
11 20005
12 19783
13
[The telemedicine as tool of management on chronic disease: the experience of ASL ROMA 3 (Italian Local Authority). Impact, outcomes and results].
20192
14 19991

About Stephen Amato

Stephen Amato is a scholar working on Molecular Biology, Surgery, Epidemiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Cellular transport and secretion (2 papers), Diet and metabolism studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper), Muscle metabolism and nutrition (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Pollution (1.5k citations), Biomaterials (286 citations), Clinical Biochemistry (123 citations) and Health, Toxicology and Mutagenesis (114 citations). Stephen Amato has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Sherri A. Mason, Ann Zellers, Marcus Eriksen, William J. Edwards, Hannah Farley, Heng‐Ye Man, Pasko Rakić, Lewis C. Cantley, Bin Zheng and Xiuxin Liu. Their work appears in journals such as Cancer, Clinical & Experimental Immunology, Marine Pollution Bulletin, The American Journal of Human Genetics and Molecular Genetics and Metabolism.

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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