R. Mein

1.9k citations
23 papers · 703 · h-index 12

Impact in

Papers in

R. Mein

21 papers receiving 690 citations

Peers

R. Mein
Comparison fields: 5 of 54
  • Immunology and Allergy 108
  • Genetics 152
  • Molecular Biology 617
  • Cardiology and Cardiovascular Medicine 171
  • Cellular and Molecular Neuroscience 99
Replace Jahannaz Dastgir with:
Jahannaz Dastgir United States
Ermelinda Ceco United States
Takahito Niiyama Japan
C. Scotton Italy
Ryan G. Walker United States
David M. Plank United States
Meriel McEntagart United Kingdom
Naohisa Niiro Japan
Lidia González‐Quereda Spain
Dayami Hernandez United States
R. Mein relative to Jahannaz Dastgir United States Jahannaz Dastgir's profile →
Citations per field
00.5×2.6×
Jahannaz Dastgir · 1×
Citations per year

Countries citing papers authored by R. Mein

Since Specialization
Citations

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

Fields of papers citing papers by R. Mein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 2006108
3 200889
4 201765
5 200857
6 201157
7 201241
8 201434
9 202025
10 200522
11 202020
12 201416
13 201810
14 20176
15 20155
16 20185
17 20234
18 20203
19 20241
20 20061

About R. Mein

R. Mein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Cellular and Molecular Neuroscience and Surgery, having authored 23 papers that have together received 703 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Genetic Neurodegenerative Diseases (4 papers), Nuclear Structure and Function (2 papers), Cell Adhesion Molecules Research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Immunology and Allergy (108 citations), Genetics (152 citations), Molecular Biology (617 citations), Cardiology and Cardiovascular Medicine (171 citations) and Cellular and Molecular Neuroscience (99 citations). R. Mein has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Stephen Abbs, Caroline A. Sewry, Lucy Feng, Emma Clement, Francesco Muntoni, C. Jimenez‐Mallebrera, Silvia Torelli, S. Brown, Caroline Godfrey and Martin Brockington. Their work appears in journals such as Neuromuscular Disorders, Neurology, Annals of Clinical and Translational Neurology, British Journal of Urology and Journal of Medical Genetics.

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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