Miguel Shingú-Vázquez

812 total citations
13 papers, 652 citations indexed

About

Miguel Shingú-Vázquez is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Miguel Shingú-Vázquez has authored 13 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Miguel Shingú-Vázquez's work include Mitochondrial Function and Pathology (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Immune Cell Function and Interaction (3 papers). Miguel Shingú-Vázquez is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Immune Cell Function and Interaction (3 papers). Miguel Shingú-Vázquez collaborates with scholars based in Australia, Mexico and United States. Miguel Shingú-Vázquez's co-authors include Ana Traven, Xochitl Pérez-Martı́nez, Thomas D. Fox, Christine A. Butler, Faviola Tavares-Carreón, Alfredo Torres‐Larios, Jamie Rossjohn, Richard Berry, Thomas Walz and Zhenjun Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Miguel Shingú-Vázquez

13 papers receiving 647 citations

Peers

Miguel Shingú-Vázquez
Comparison fields: 5 of 77
  • Molecular Biology 424
  • Infectious Diseases 151
  • Epidemiology 123
  • Immunology 92
  • Plant Science 64
Replace Daelynn R. Buelow with:
Daelynn R. Buelow United States
Chuanling Zhang China
Kyoung Hoon Kim South Korea
A. Krupa India
Somdeb BoseDasgupta India
Nicolas C. Stephanou United States
Seiji N. Sugiman‐Marangos Canada
Dakshina M. Jandhyala United States
Philippe J. Mas France
Anne Clancy Germany
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Citations per field, relative to Miguel Shingú-Vázquez
Miguel Shingú-Vázquez · 1×
Citations per year, relative to Miguel Shingú-Vázquez
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Countries citing papers authored by Miguel Shingú-Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Shingú-Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Shingú-Vázquez. 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 Miguel Shingú-Vázquez. The network helps show where Miguel Shingú-Vázquez may publish in the future.

Co-authorship network of co-authors of Miguel Shingú-Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Shingú-Vázquez. A scholar is included among the top collaborators of Miguel Shingú-Vázquez 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 Miguel Shingú-Vázquez. Miguel Shingú-Vázquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 20
2 25
3 16
4 52
5
Molecular architecture of the alpha beta T cell receptor-CD3 complex
3
6 98
7 33
8 24
9 164
10 34
11 76
12 29
13 78

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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