Rubén Díaz-Avalos

1.8k citations
20 papers · 1.4k indexed · h-index 15
Topics
Bacteriophages and microbial interactions (5 papers)RNA and protein synthesis mechanisms (5 papers)Prion Diseases and Protein Misfolding (4 papers)

In The Last Decade

Rubén Díaz-Avalos

20 papers receiving 1.4k citations

Peers

Rubén Díaz-Avalos
Comparison fields: 5 of 93
  • Molecular Biology 1.1k
  • Physiology 277
  • Neurology 256
  • Cell Biology 244
  • Nutrition and Dietetics 223
Replace Rajaraman Krishnan with:
Rajaraman Krishnan United States
Can Kayatekin United States
Xiangshu Jin United States
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Łukasz A. Joachimiak United States
Asami Makino Japan
Daniel R. Southworth United States
Doris Richter Germany
Galina A. Zhouravleva Russia
Ralph Zahn Switzerland
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Citations per field
00.5×1.6×
Rajaraman Krishnan · 1×
Citations per year

Countries citing papers authored by Rubén Díaz-Avalos

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Díaz-Avalos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén Díaz-Avalos. 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 Rubén Díaz-Avalos. The network helps show where Rubén Díaz-Avalos may publish in the future.

Co-authorship network of co-authors of Rubén Díaz-Avalos

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Díaz-Avalos. A scholar is included among the top collaborators of Rubén Díaz-Avalos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rubén Díaz-Avalos. Rubén Díaz-Avalos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 63
2 36
3 68
4 172
5 9
6 53
7 95
8 88
9 17
10 56
11 52
12 122
13 382
14 91
15 4
16 89
17 9
18 28
19
Structural Studies on the Disk Aggregate of Tobacco Mosaic Virus Protein
2
20 4

About Rubén Díaz-Avalos

Rubén Díaz-Avalos is a scholar working on Structural Biology, Ecology and Endocrinology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (5 papers) and Prion Diseases and Protein Misfolding (4 papers). The work is most often cited by research in Neurology (256 citations), Structural Biology (28 citations) and Molecular Biology (1.1k citations). Rubén Díaz-Avalos has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Chih‐Yen King, D. L. D. Caspar, Nikolaus Grigorieff, Timothy Grant, Hiro Furukawa, Erkan Karakaş, N. Tajima, Noriko Simorowski, Martha N. Simon and Joseph S. Wall. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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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