Anne Rutkowski

1.4k citations
25 papers · 845 · h-index 14

Impact in

Papers in

    • Muscle Physiology and Disorders 16
    • Nuclear Structure and Function 3
    • RNA modifications and cancer 2
    • Neurogenetic and Muscular Disorders Research 8
    • Connective tissue disorders research 2

Anne Rutkowski

24 papers receiving 801 citations

Peers

Anne Rutkowski
Comparison fields: 5 of 104
  • Genetics 143
  • Immunology and Allergy 64
  • Molecular Biology 488
  • Cardiology and Cardiovascular Medicine 116
  • Media Technology 49
Replace Clement Lee with:
Clement Lee United States
Robert K. Baker Canada
Christopher B. Hauser Germany
Robin Shaw United Kingdom
Daniel J. Treacy United States
Dawn M. Kilkenny Canada
Elaine A. Powers United States
Qiong Gan United States
Ivo F.A.C. Fokkema Netherlands
Kristy J. Wilson United States
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Citations per year

Countries citing papers authored by Anne Rutkowski

Since Specialization
Citations

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

Fields of papers citing papers by Anne Rutkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014224
2 1994116
3 201576
4 201769
5 201360
6 201242
7
Congenital Muscular Dystrophy Overview
201240
8 201339
9
LAMA2-Related Muscular Dystrophy
201223
10 201319
11 201519
12 201719
13 201616
14 201114
15 201712
16 201412
17 200210
18 20209
19 20177
20 20147

About Anne Rutkowski

Anne Rutkowski is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Genetics and Surgery, having authored 25 papers that have together received 845 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Neurogenetic and Muscular Disorders Research (8 papers), Cardiomyopathy and Myosin Studies (3 papers), Nuclear Structure and Function (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), RNA modifications and cancer (2 papers), Connective tissue disorders research (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Genetics (143 citations), Immunology and Allergy (64 citations), Molecular Biology (488 citations), Cardiology and Cardiovascular Medicine (116 citations) and Media Technology (49 citations). Anne Rutkowski has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Carsten G. Bönnemann, Susana Quijano‐Roy, Larry Press, S. E. Goodman, Kathryn N. North, Susan Sparks, Francesco Muntoni, Christophe Béroud, Steven A. Moore and Ana Ferreiro. Their work appears in journals such as Neuromuscular Disorders, Neurology, PLoS ONE, Pediatric Pulmonology and Archives of Physical Medicine and Rehabilitation.

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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