Mona Foldvari

2.0k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Mona Foldvari is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Mona Foldvari has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Mona Foldvari's work include Nutrition and Health in Aging (3 papers), Muscle activation and electromyography studies (2 papers) and Muscle metabolism and nutrition (2 papers). Mona Foldvari is often cited by papers focused on Nutrition and Health in Aging (3 papers), Muscle activation and electromyography studies (2 papers) and Muscle metabolism and nutrition (2 papers). Mona Foldvari collaborates with scholars based in United States, Australia and Belarus. Mona Foldvari's co-authors include Carmen Castañeda, Ronenn Roubenoff, Jeffrey M. Hausdorff, Roger A. Fielding, Jennifer E. Layne, Patricia Gordon, Katherine L. Tucker, Miriam E. Nelson, Maureen Clark and Chun Pu and has published in prestigious journals such as Diabetes Care, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Mona Foldvari

6 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Randomized Controlled Trial of Resistance Exercise Training to Improve Glycemic Control in Older Adults With Type 2 Diabetes

2002 594 citations Carmen Castañeda, Jennifer E. Layne et al. Diabetes Care profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mona Foldvari United States	6	650	416	264	255	232	6	1.4k
Ira Martin Grais United States	6	389 0.6×	305 0.7×	341 1.3×	83 0.3×	159 0.7×	19	1.3k
Joel D. Posner United States	16	392 0.6×	581 1.4×	218 0.8×	108 0.4×	52 0.2×	24	1.3k
Kiyoshi Sanada Japan	26	1.6k 2.5×	401 1.0×	560 2.1×	85 0.3×	70 0.3×	92	2.7k
Nélson Sousa Portugal	20	352 0.5×	224 0.5×	148 0.6×	113 0.4×	256 1.1×	50	938
María M. Antón Spain	15	398 0.6×	469 1.1×	858 3.3×	116 0.5×	72 0.3×	36	1.7k
Julie Doyle United States	15	459 0.7×	158 0.4×	86 0.3×	62 0.2×	79 0.3×	17	1.5k
Emmanuel Gomes Ciolac Brazil	22	523 0.8×	853 2.1×	859 3.3×	126 0.5×	93 0.4×	78	1.8k
Silvano Zanuso Italy	19	895 1.4×	325 0.8×	220 0.8×	56 0.2×	433 1.9×	39	1.6k
Yuko Gando Japan	22	830 1.3×	279 0.7×	443 1.7×	58 0.2×	69 0.3×	83	1.6k
Radim Jurča United States	9	757 1.2×	615 1.5×	459 1.7×	32 0.1×	191 0.8×	19	1.5k

Countries citing papers authored by Mona Foldvari

Since Specialization

Citations

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

Fields of papers citing papers by Mona Foldvari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Foldvari

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Foldvari. A scholar is included among the top collaborators of Mona Foldvari 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 Mona Foldvari. Mona Foldvari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Manfredi, Thomas G., et al.. (2012). Postmenopausal Effects of Resistance Training on Muscle Damage and Mitochondria. The Journal of Strength and Conditioning Research. 27(2). 556–561. 9 indexed citations

2.

Frontera, Walter R., et al.. (2003). Strength training in older women: Early and late changes in whole muscle and single cells. Muscle & Nerve. 28(5). 601–608. 94 indexed citations

3.

Castañeda, Carmen, Jennifer E. Layne, Patricia Gordon, et al.. (2002). A Randomized Controlled Trial of Resistance Exercise Training to Improve Glycemic Control in Older Adults With Type 2 Diabetes. Diabetes Care. 25(12). 2335–2341. 594 indexed citations breakdown →

4.

Pu, Charles T., Daniel E. Forman, Jeffrey M. Hausdorff, et al.. (2001). Randomized trial of progressive resistance training to counteract the myopathy of chronic heart failure. Journal of Applied Physiology. 90(6). 2341–2350. 215 indexed citations

5.

Foldvari, Mona, Maureen Clark, Matt A. Bernstein, et al.. (2000). Association of Muscle Power With Functional Status in Community-Dwelling Elderly Women. The Journals of Gerontology Series A. 55(4). M192–M199. 496 indexed citations

6.

Foldvari, Mona, Maureen Clark, Michael J. Bernstein, et al.. (1999). ASSOCIATION OF MUSCLE POWER WITH FUNCTIONAL STATUS IN COMMUNITY DWELLING ELDERLY WOMEN. Medicine & Science in Sports & Exercise. 31(Supplement). S378–S378. 31 indexed citations

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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