Guillermo Serrano

448 citations
11 papers · 106 · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gene Regulatory Network Analysis 2
    • Gene expression and cancer classification 1
    • Bioinformatics and Genomic Networks 1

Guillermo Serrano

9 papers receiving 105 citations

Peers

Guillermo Serrano
Comparison fields: 5 of 43
  • Cancer Research 25
  • Spectroscopy 21
  • Molecular Biology 69
  • Insect Science 9
  • Ecology, Evolution, Behavior and Systematics 14
Replace Pedro Salguero with:
Pedro Salguero Spain
Kamil Skłodowski Germany
Jonathan Vandenbussche Belgium
Simone Tiberi Switzerland
Pieter Lukasse Netherlands
Satyanarayan Rao United States
Joshua D Eaton United Kingdom
Aurélie Lautrette France
Natasha Leanna Patel-Murray United States
Nahuel Escobedo Argentina
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Citations per field
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Pedro Salguero · 1×
Citations per year

Countries citing papers authored by Guillermo Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guillermo Serrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guillermo Serrano Line = papers co-authored together Guillermo Serrano links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201928
2 201926
3 202321
4 20239
5 20227
6 20204
7 20254
8 20144
9 20223
10 20220
11 20250

About Guillermo Serrano

Guillermo Serrano is a scholar working on Molecular Biology, Genetics, Spectroscopy, Computer Networks and Communications and Occupational Therapy, having authored 11 papers that have together received 106 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Gene Regulatory Network Analysis (2 papers), Gene expression and cancer classification (1 paper), Plant and animal studies (1 paper), Embedded Systems Design Techniques (1 paper), Bioinformatics and Genomic Networks (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Cancer Research (25 citations), Spectroscopy (21 citations), Molecular Biology (69 citations), Insect Science (9 citations) and Ecology, Evolution, Behavior and Systematics (14 citations). Guillermo Serrano has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include Víctor Segura, Elizabeth Guruceaga, Mikel Hernáez, Bruno Sangro, Jordi Bruix, Celia Prior, Loreto Boix, Puri Fortes, Idoia Ochoa and Juan P. Unfried. Their work appears in journals such as Bioinformatics, Computational and Structural Biotechnology Journal, Communications Biology, Nature Ecology & Evolution and Journal of Proteome Research.

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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