Miguel Reyes

1.2k total citations · 1 hit paper
12 papers, 479 citations indexed

About

Miguel Reyes is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Miguel Reyes has authored 12 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Miguel Reyes's work include Single-cell and spatial transcriptomics (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Immune cells in cancer (4 papers). Miguel Reyes is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Sepsis Diagnosis and Treatment (5 papers) and Immune cells in cancer (4 papers). Miguel Reyes collaborates with scholars based in United States, Italy and Netherlands. Miguel Reyes's co-authors include Paul C. Blainey, Nir Hacohen, Kianna Billman, Michael R. Filbin, Rebecca M. Baron, Roby P. Bhattacharyya, Deborah T. Hung, Bruce D. Levy, Thomas Eisenhaure and Marcia B. Goldberg and has published in prestigious journals such as Nature Medicine, Nature Materials and Science Advances.

In The Last Decade

Miguel Reyes

9 papers receiving 474 citations

Hit Papers

An immune-cell signature of bacterial sepsis 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Miguel Reyes
Comparison fields: 5 of 78
  • Molecular Biology 261
  • Immunology 197
  • Epidemiology 123
  • Infectious Diseases 37
  • Cancer Research 36
Replace Xing Lv with:
Xing Lv China
Kianna Billman United States
Yanping Zhu China
Hui He China
Vanessa Gauttier France
Peilu Li China
Chang Wook Park South Korea
Mayra Pinilla-Vera United States
Lang Jiang China
Shi Liu China
Xing Lv China View profile →
Citations per field, relative to Miguel Reyes
Miguel Reyes · 1×
Citations per year, relative to Miguel Reyes
Miguel Reyes · 1×

Countries citing papers authored by Miguel Reyes

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Reyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Reyes

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 6
3 1
4 4
5 0
6 93
7 52
8
An immune-cell signature of bacterial sepsis breakdown →
256
9 25
10 40
11 0
12
Soluble interleukin-2 receptor in vitro production by mononuclear cells from Hodgkin patients.
2

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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