M. Gertz

2.4k citations
19 papers · 2.0k indexed · h-index 16

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Physiology top 1%
    • Adipose Tissue and Metabolism
    • Calcium signaling and nucleotide metabolism
    • Biochemical effects in animals

Papers in

M. Gertz

19 papers receiving 2.0k citations

Peers

M. Gertz
Comparison fields: 5 of 104
  • Geriatrics and Gerontology 1.1k
  • Physiology 285
  • Aging 36
  • Physiology 534
  • Epidemiology 617
Replace Kristin E. Dittenhafer‐Reed with:
Kristin E. Dittenhafer‐Reed United States
J. Daniel Pennington United States
Margie T. Borra United States
Cristina Travelli Italy
Keisuke Yaku Japan
Chuangui Wang China
Jinling Hou United States
Luigi Sansone Italy
Maureen Higgins United Kingdom
Mario Romani Switzerland
M. Gertz relative to Kristin E. Dittenhafer‐Reed United States Kristin E. Dittenhafer‐Reed's profile →
Citations per field
00.5×1.5×
Kristin E. Dittenhafer‐Reed · 1×
Citations per year

Countries citing papers authored by M. Gertz

Since Specialization
Citations

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

Fields of papers citing papers by M. Gertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 201658
2 20146
3 201461
4 201463
5 20149
6 201349
7 201359
8 2013166
9 2013250
10 201277
11 2012227
12 2011105
13 201065
14 200962
15 200960
16 2008439
17 2008168
18 200870
19 20079

About M. Gertz

M. Gertz is a scholar working on Geriatrics and Gerontology, Physiology, Physiology, Epidemiology and Surfaces, Coatings and Films, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (11 papers), Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (7 papers), Biochemical effects in animals (4 papers), Redox biology and oxidative stress (3 papers), ATP Synthase and ATPases Research (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Geriatrics and Gerontology (1.1k citations), Physiology (285 citations), Aging (36 citations), Physiology (534 citations) and Epidemiology (617 citations). M. Gertz has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Clemens Steegborn, Christine Schlicker, Frank Fischer, Giang Thi Tuyet Nguyen, Christian F. W. Becker, Panagiotis Papatheodorou, Mike Schutkowski, Mahadevan Lakshminarasimhan, Dirk Wolters and Michael Weyand. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Nature Communications, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and PLoS ONE.

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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