Rafael J. Argüello

2.9k citations
50 papers · 1.2k indexed · 1 hit paper · h-index 18

Rafael J. Argüello

48 papers receiving 1.2k citations

Hit Papers

SCENITH: A Flow Cytometry-Based Method to Functionally Pr...2020202620222024202050100150200250

Peers

Rafael J. Argüello
Comparison fields: 5 of 98
  • Immunology 716
  • Molecular Biology 375
  • Epidemiology 222
  • Hematology 155
  • Oncology 112
Replace Jérôme D. Coudert with:
Jérôme D. Coudert Australia
Andy Tsun China
Toshihiko Kobayashi Japan
Tonya J. Webb United States
Markus Biburger Germany
Andrew P. Makrigiannis Canada
Varada P. Rao United States
Joan M. G. Sechler United States
Denise L. Faustman United States
Marie‐Pierre Hardy Canada
Rafael J. Argüello relative to Jérôme D. Coudert Australia Jérôme D. Coudert's profile →
Citations per field
00.5×2.6×
Jérôme D. Coudert · 1×
Citations per year

Countries citing papers authored by Rafael J. Argüello

Since Specialization
Citations

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

Fields of papers citing papers by Rafael J. Argüello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael J. Argüello. 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 J. Argüello. The network helps show where Rafael J. Argüello may publish in the future.

Co-authorship network of co-authors of Rafael J. Argüello

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael J. Argüello. A scholar is included among the top collaborators of Rafael J. Argüello 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 Rafael J. Argüello. Rafael J. Argüello 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 2
2 4
3 5
4 2
5 1
6 6
7 2
8 10
9 7
10 0
11 21
12 3
13 71
14 26
15 43
16 10
17
SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolutionbreakdown →
278
18 30
19 13
20 17

About Rafael J. Argüello

Rafael J. Argüello is a scholar working on Immunology, Genetics and Molecular Biology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (17 papers) and Immune cells in cancer (12 papers). The work is most often cited by research in Immunology (716 citations), Hematology (155 citations) and Transplantation (28 citations). Rafael J. Argüello has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Pierre, Evelina Gatti, J. Alejandro Madrigal, Alexis J. Combes, Matthew F. Krummel, Marisa Reverendo, Andreia Mendes, Christian A. García‐Sepúlveda, Bronwen E. Shaw and Rémy Char. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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