Michael Petr

581 total citations
10 papers, 276 citations indexed

About

Michael Petr is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Michael Petr has authored 10 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aging, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Michael Petr's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Adipose Tissue and Metabolism (3 papers) and DNA Repair Mechanisms (2 papers). Michael Petr is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Adipose Tissue and Metabolism (3 papers) and DNA Repair Mechanisms (2 papers). Michael Petr collaborates with scholars based in Denmark, United States and Netherlands. Michael Petr's co-authors include Morten Scheibye‐Knudsen, Rafael de Cabo, Michel Bernier, Brenna Osborne, Daniela Bakula, Garik V. Mkrtchyan, Guido Keijzers, Woei-Nan Bair, Stephanie A. Studenski and Irene Alfaras and has published in prestigious journals such as International Journal of Molecular Sciences, Trends in Cell Biology and The Journals of Gerontology Series A.

In The Last Decade

Michael Petr

10 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Petr Denmark	8	141	74	56	38	23	10	276
Erin A. Wade United States	4	129 0.9×	146 2.0×	46 0.8×	18 0.5×	17 0.7×	4	267
Kathryn A. Carbajal United States	5	159 1.1×	80 1.1×	66 1.2×	16 0.4×	19 0.8×	6	308
Luise Angelini United States	5	133 0.9×	196 2.6×	66 1.2×	18 0.5×	21 0.9×	10	325
Yueh-Mei Hsu United States	4	182 1.3×	125 1.7×	68 1.2×	11 0.3×	35 1.5×	4	333
Gongsheng Yuan United States	13	128 0.9×	87 1.2×	27 0.5×	22 0.6×	36 1.6×	27	309
Daniel Meza Chile	6	169 1.2×	126 1.7×	147 2.6×	20 0.5×	15 0.7×	6	419
Ermin Li China	8	145 1.0×	61 0.8×	28 0.5×	16 0.4×	44 1.9×	19	289
Bingxuan Hua China	11	90 0.6×	82 1.1×	45 0.8×	21 0.6×	20 0.9×	17	283
Dena Hernandez United States	7	242 1.7×	100 1.4×	70 1.3×	18 0.5×	48 2.1×	11	486
Novella Guidi United States	7	147 1.0×	207 2.8×	62 1.1×	20 0.5×	17 0.7×	8	458

Countries citing papers authored by Michael Petr

Since Specialization

Citations

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

Fields of papers citing papers by Michael Petr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Petr

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

All Works

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10 of 10 papers shown

1.

Heckenbach, Indra, et al.. (2025). Deep learning reveals diverging effects of altitude on aging. GeroScience. 47(3). 3873–3889. 2 indexed citations

2.

Petr, Michael, Brenna Osborne, Bin Zhang, et al.. (2024). Pharmacological interventions in human aging. Ageing Research Reviews. 95. 102213–102213. 5 indexed citations

3.

Moen, Jack M., Christopher H. Morrell, Ismayil Ahmet, et al.. (2022). Emergence of heartbeat frailty in advanced age I: perspectives from life-long EKG recordings in adult mice. GeroScience. 44(6). 2801–2830. 10 indexed citations

4.

McIntyre, Rebecca L., Simone Denis, Rashmi Kamble, et al.. (2021). Inhibition of the neuromuscular acetylcholine receptor with atracurium activates FOXO/DAF‐16‐induced longevity. Aging Cell. 20(8). 16 indexed citations

5.

Petr, Michael, Irene Alfaras, Woei-Nan Bair, et al.. (2021). A cross-sectional study of functional and metabolic changes during aging through the lifespan in male mice. eLife. 10. 56 indexed citations

6.

Osborne, Brenna, Daniela Bakula, Michael Ben Ezra, et al.. (2020). New methodologies in ageing research. Ageing Research Reviews. 62. 101094–101094. 7 indexed citations

7.

Petr, Michael, et al.. (2020). Protecting the Aging Genome. Trends in Cell Biology. 30(2). 117–132. 85 indexed citations

8.

Bair, Woei-Nan, Michael Petr, Irene Alfaras, et al.. (2019). Of Aging Mice and Men: Gait Speed Decline Is a Translatable Trait, With Species-Specific Underlying Properties. The Journals of Gerontology Series A. 74(9). 1413–1416. 24 indexed citations

9.

Keijzers, Guido, Daniela Bakula, Michael Petr, et al.. (2018). Human Exonuclease 1 (EXO1) Regulatory Functions in DNA Replication with Putative Roles in Cancer. International Journal of Molecular Sciences. 20(1). 74–74. 52 indexed citations

10.

Germanio, Clara Di, Michel Bernier, Michael Petr, et al.. (2016). Conditioned medium derived from rat amniotic epithelial cells confers protection against inflammation, cancer, and senescence. Oncotarget. 7(26). 39051–39064. 19 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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