Cristina M. Risi

558 citations
18 papers · 358 · h-index 10

Impact in

Papers in

Cristina M. Risi

16 papers receiving 354 citations

Peers

Cristina M. Risi
Comparison fields: 5 of 49
  • Structural Biology 18
  • Cardiology and Cardiovascular Medicine 267
  • Aging 6
  • Cell Biology 55
  • Molecular Biology 200
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Samantha Beck Previs United States
Steven Z. Chou United States
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Pauline M. Bennett United Kingdom
András Kengyel Hungary
Thomas Kampourakis United Kingdom
Darshan V. Trivedi United States
Martin Rees United Kingdom
Estelle V. Harvey United States
Claudia Schreiner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Cristina M. Risi

Since Specialization
Citations

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

Fields of papers citing papers by Cristina M. Risi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202161
2 201757
3 201856
4 202039
5 202235
6 202225
7 201721
8 202214
9 201713
10 202413
11 20219
12 20256
13 20184
14 20222
15 20222
16 20251
17 20250
18 20250

About Cristina M. Risi

Cristina M. Risi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Structural Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 358 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (15 papers), Cardiovascular Effects of Exercise (10 papers), Force Microscopy Techniques and Applications (5 papers), Muscle Physiology and Disorders (4 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Cardiovascular Function and Risk Factors (2 papers), Inhalation and Respiratory Drug Delivery (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Structural Biology (18 citations), Cardiology and Cardiovascular Medicine (267 citations), Aging (6 citations), Cell Biology (55 citations) and Molecular Biology (200 citations). Cristina M. Risi has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Vitold E. Galkin, Howard D. White, Betty Belknap, Gunnar F. Schröder, P. Bryant Chase, José R. Pinto, Samantha P. Harris, Kelly A. Dryden, David H. Heeley and Maicon Landim-Vieira. Their work appears in journals such as Journal of Molecular Biology, Structure, Proceedings of the National Academy of Sciences, PLoS Biology and Journal of Molecular and Cellular Cardiology.

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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