Rafael Tapia‐Rojo

969 citations
29 papers · 620 · h-index 14

Impact in

Papers in

Rafael Tapia‐Rojo

29 papers receiving 611 citations

Peers

Rafael Tapia‐Rojo
Comparison fields: 5 of 73
  • Structural Biology 42
  • Cell Biology 187
  • Atomic and Molecular Physics, and Optics 340
  • Molecular Biology 345
  • Biophysics 21
Replace Kirstin A. Walther with:
Kirstin A. Walther United States
Jessica Valle‐Orero France
Ronen Berkovich Israel
Felix Berkemeier Germany
Morten Bertz Germany
Kien Xuan Ngo Japan
A. S. M. Kamruzzahan Austria
Álvaro Alonso-Caballero Spain
Lilia A. Chtcheglova Austria
Julian von der Ecken Germany
Rafael Tapia‐Rojo relative to Kirstin A. Walther United States Kirstin A. Walther's profile →
Citations per field
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Kirstin A. Walther · 1×
Citations per year

Countries citing papers authored by Rafael Tapia‐Rojo

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Tapia‐Rojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Tapia‐Rojo. 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 Rafael Tapia‐Rojo. The network helps show where Rafael Tapia‐Rojo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201861
2 201960
3 201950
4 202047
5 201747
6 202041
7 202039
8 201738
9 202035
10 202227
11 201027
12 201822
13 202320
14 201716
15 201412
16 201212
17 202411
18 201710
19 202310
20 20197

About Rafael Tapia‐Rojo

Rafael Tapia‐Rojo is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 29 papers that have together received 620 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (18 papers), Cellular Mechanics and Interactions (11 papers), Protein Structure and Dynamics (7 papers), Mechanical and Optical Resonators (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Heat shock proteins research (3 papers), Biochemical and Structural Characterization (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Structural Biology (42 citations), Cell Biology (187 citations), Atomic and Molecular Physics, and Optics (340 citations), Molecular Biology (345 citations) and Biophysics (21 citations). Rafael Tapia‐Rojo has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Julio M. Fernández, Edward C. Eckels, Jaime Andrés Rivas‐Pardo, Álvaro Alonso-Caballero, Shubhasis Haldar, Julio M. Fernández, F. Falo, J. J. Mazo, Jessica Valle‐Orero and Daniel J. Echelman. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Nature Physics, Biophysical Journal and Nature Chemistry.

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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