Grace M. Meers

74 total papers · 2.1k total citations
46 papers, 1.5k citations indexed

About

Grace M. Meers is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Grace M. Meers has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 28 papers in Physiology and 15 papers in Molecular Biology. Recurrent topics in Grace M. Meers's work include Liver Disease Diagnosis and Treatment (27 papers), Adipose Tissue and Metabolism (22 papers) and Diet, Metabolism, and Disease (10 papers). Grace M. Meers is often cited by papers focused on Liver Disease Diagnosis and Treatment (27 papers), Adipose Tissue and Metabolism (22 papers) and Diet, Metabolism, and Disease (10 papers). Grace M. Meers collaborates with scholars based in United States, Canada and United Kingdom. Grace M. Meers's co-authors include R. Scott Rector, John P. Thyfault, Jamal A. Ibdah, E. Matthew Morris, Justin A. Fletcher, Frank W. Booth, M. Harold Laughlin, Melissa A. Linden, Kevin L. Fritsche and Meghan L. Ruebel and has published in prestigious journals such as Journal of the American College of Cardiology, Hepatology and The Journal of Physiology.

In The Last Decade

Grace M. Meers

44 papers receiving 1.5k citations

Hit Papers

Compromised hepatic mitoc... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Grace M. Meers 803 726 523 326 234 46 1.5k
Justin A. Fletcher 666 0.8× 729 1.0× 548 1.0× 387 1.2× 190 0.8× 34 1.6k
Sarah J. Borengasser 1.1k 1.4× 854 1.2× 631 1.2× 386 1.2× 249 1.1× 48 2.3k
Ciarán E. Fealy 898 1.1× 356 0.5× 527 1.0× 243 0.7× 186 0.8× 40 1.5k
Wen Su 431 0.5× 416 0.6× 650 1.2× 251 0.8× 177 0.8× 42 1.7k
Mingming Gao 558 0.7× 603 0.8× 612 1.2× 186 0.6× 94 0.4× 41 1.6k
Joseph W. Beals 754 0.9× 685 0.9× 454 0.9× 334 1.0× 645 2.8× 41 1.9k
Bram Brouwers 693 0.9× 599 0.8× 321 0.6× 619 1.9× 184 0.8× 26 1.4k
Nathan Qi 1.1k 1.4× 580 0.8× 895 1.7× 276 0.8× 224 1.0× 51 2.3k
Kristina Wallenius 988 1.2× 918 1.3× 576 1.1× 442 1.4× 98 0.4× 36 2.2k
Ho Cheol Hong 929 1.2× 944 1.3× 454 0.9× 349 1.1× 167 0.7× 40 2.1k

Countries citing papers authored by Grace M. Meers

Since Specialization
Citations

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

Fields of papers citing papers by Grace M. Meers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace M. Meers. 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 Grace M. Meers. The network helps show where Grace M. Meers may publish in the future.

Co-authorship network of co-authors of Grace M. Meers

This figure shows the co-authorship network connecting the top 25 collaborators of Grace M. Meers. A scholar is included among the top collaborators of Grace M. Meers 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 Grace M. Meers. Grace M. Meers 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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