M. Rosca

33 papers receiving 2.5k citations

Peers

M. Rosca
Comparison fields: 5 of 106
  • Clinical Biochemistry 562
  • Geriatrics and Gerontology 119
  • Physiology 631
  • Cardiology and Cardiovascular Medicine 538
  • Molecular Biology 1.4k
Replace Daisuke Kukidome with:
Daisuke Kukidome Japan
Ming-Hui Zou United States
Kazuhiro Sonoda Japan
Ji Hee Lim South Korea
David A. Beebe United States
Anil Bhanudas Gaikwad India
Aleksandr E. Vendrov United States
Yoshihisa Nakatani Japan
Kirstin Wingler Germany
Takhar Kasumov United States
M. Rosca relative to Daisuke Kukidome Japan Daisuke Kukidome's profile →
Citations per field
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Daisuke Kukidome · 1×
Citations per year

Countries citing papers authored by M. Rosca

Since Specialization
Citations

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

Fields of papers citing papers by M. Rosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008296
2 2005283
3 2012207
4 2010189
5 2012179
6 2012161
7 2017136
8 2005113
9 2015101
10 200288
11 201578
12 202176
13 201171
14 200971
15 202070
16 201949
17 200742
18 200941
19 202234
20 201332

About M. Rosca

M. Rosca is a scholar working on Clinical Biochemistry, Physiology, Geriatrics and Gerontology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Adipose Tissue and Metabolism (11 papers), Cardiovascular Function and Risk Factors (7 papers), Metabolism and Genetic Disorders (6 papers), Advanced Glycation End Products research (6 papers), ATP Synthase and ATPases Research (4 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Clinical Biochemistry (562 citations), Geriatrics and Gerontology (119 citations), Physiology (631 citations), Cardiology and Cardiovascular Medicine (538 citations) and Molecular Biology (1.4k citations). M. Rosca has collaborated with scholars based in United States, Romania and United Kingdom. Frequent co-authors include Charles L. Hoppel, Edwin J. Vazquez, Bernard Tandler, János Kerner, Vincent M. Monnier, Timothy S. Kern, Miriam F. Weiss, Luke I. Szweda, William C. Stanley and Margaret P. Chandler. Their work appears in journals such as Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Diabetes, Canadian Journal of Physiology and Pharmacology and American Journal of Physiology-Renal Physiology.

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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