Alfredo Chávez‐Arroyo

884 citations
7 papers · 677 indexed · 1 hit paper · h-index 6
Topics
Vibrio bacteria research studies (2 papers)Immunotherapy and Immune Responses (2 papers)Escherichia coli research studies (2 papers)

In The Last Decade

Alfredo Chávez‐Arroyo

7 papers receiving 673 citations

Hit Papers

NOD1 and NOD2 signalling links ER stress with inflammation20162026201920222016100200300

Peers

Alfredo Chávez‐Arroyo
Comparison fields: 5 of 90
  • Molecular Biology 340
  • Immunology 187
  • Epidemiology 138
  • Cell Biology 133
  • Infectious Diseases 118
Replace A. Marijke Keestra-Gounder with:
A. Marijke Keestra-Gounder United States
Oanh Pham United States
David Prescott Canada
Sina Mohammadi United States
James Sanford United States
Daelynn R. Buelow United States
Leroy W. Wheeler United States
Nura Schürmann Switzerland
Eiki Yamasaki Japan
Nicole P. Malvin United States
Alfredo Chávez‐Arroyo relative to A. Marijke Keestra-Gounder United States A. Marijke Keestra-Gounder's profile →
Citations per field
00.5×1.5×
A. Marijke Keestra-Gounder · 1×
Citations per year

Countries citing papers authored by Alfredo Chávez‐Arroyo

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Chávez‐Arroyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfredo Chávez‐Arroyo. 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 Alfredo Chávez‐Arroyo. The network helps show where Alfredo Chávez‐Arroyo may publish in the future.

Co-authorship network of co-authors of Alfredo Chávez‐Arroyo

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 25
3 9
4 35
5
NOD1 and NOD2 signalling links ER stress with inflammationbreakdown →
398
6 61
7 148

About Alfredo Chávez‐Arroyo

Alfredo Chávez‐Arroyo is a scholar working on Endocrinology, Biotechnology and Molecular Medicine, having authored 7 papers that have together received 677 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (2 papers), Immunotherapy and Immune Responses (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Endocrinology (91 citations), Immunology (187 citations) and Cell Biology (133 citations). Alfredo Chávez‐Arroyo has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Renée M. Tsolis, Andreas J. Bäumler, Mariana X. Byndloss, Resmi Ravindran, Maarten F. de Jong, Maria G. Winter, Paul A. Luciw, Stephen J. McSorley, Stephanie A. Cevallos and Briana M. Young. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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