Maryann Maximos

11 total papers · 1.0k total citations
7 papers, 801 citations indexed

About

Maryann Maximos is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Maryann Maximos has authored 7 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Hepatology. Recurrent topics in Maryann Maximos's work include Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (4 papers) and Liver Disease and Transplantation (3 papers). Maryann Maximos is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (4 papers) and Liver Disease and Transplantation (3 papers). Maryann Maximos collaborates with scholars based in United States. Maryann Maximos's co-authors include Diane Biernacki, Kenneth Cusi, Fernando Bril, Romina Lomonaco, Beverly Orsak, Paola Portillo-Sánchez, Sreevidya Subbarayan, Amitabh Suman, Amy Webb and Joan Hecht and has published in prestigious journals such as Hepatology, The Journal of Clinical Endocrinology & Metabolism and Journal of Hepatology.

In The Last Decade

Maryann Maximos

7 papers receiving 790 citations

Hit Papers

High Prevalence of Nonalc... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maryann Maximos 716 431 220 144 139 7 801
Sreevidya Subbarayan 660 0.9× 428 1.0× 225 1.0× 146 1.0× 116 0.8× 10 793
JANE HOLMES-WALKER 835 1.2× 512 1.2× 216 1.0× 152 1.1× 129 0.9× 7 958
Fabio Mecca 611 0.9× 394 0.9× 136 0.6× 113 0.8× 130 0.9× 7 790
J. K. Dowman 802 1.1× 371 0.9× 222 1.0× 118 0.8× 154 1.1× 9 956
Nadia Depetris 648 0.9× 392 0.9× 138 0.6× 113 0.8× 125 0.9× 13 812
Alessandra Marrazzo 661 0.9× 298 0.7× 262 1.2× 119 0.8× 89 0.6× 8 786
Chunhong Bai 708 1.0× 353 0.8× 306 1.4× 169 1.2× 121 0.9× 8 818
Daniela Bignamini 551 0.8× 300 0.7× 208 0.9× 108 0.8× 95 0.7× 12 997
Lina Johansson 815 1.1× 445 1.0× 250 1.1× 147 1.0× 120 0.9× 9 958
Seishu Tamaki 543 0.8× 331 0.8× 238 1.1× 143 1.0× 127 0.9× 10 843

Countries citing papers authored by Maryann Maximos

Since Specialization
Citations

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

Fields of papers citing papers by Maryann Maximos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryann Maximos

This figure shows the co-authorship network connecting the top 25 collaborators of Maryann Maximos. A scholar is included among the top collaborators of Maryann Maximos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maryann Maximos. Maryann Maximos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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