Diego Alonso‐López

1.7k citations
14 papers · 529 indexed · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Microbial Metabolic Engineering and Bioproduction
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Diego Alonso‐López

14 papers receiving 522 citations

Peers

Diego Alonso‐López
Comparison fields: 5 of 84
  • Cancer Research 77
  • Molecular Biology 351
  • Computational Theory and Mathematics 62
  • Oncology 92
  • Aging 5
Replace B. Hilda Ye with:
B. Hilda Ye United States
Dae Gyu Kim South Korea
Joanne M. Munck United Kingdom
Xiaming Pang United States
Laura Turunen Finland
Clare Pacini United Kingdom
Emanuel Gonçalves United Kingdom
Eduard Porta‐Pardo Spain
Szymon Stoma Switzerland
Sumit Deswal Germany
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Citations per field
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B. Hilda Ye · 1×
Citations per year

Countries citing papers authored by Diego Alonso‐López

Since Specialization
Citations

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

Fields of papers citing papers by Diego Alonso‐López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Alonso‐López. 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 Diego Alonso‐López. The network helps show where Diego Alonso‐López may publish in the future.

Co-authors

The 25 scholars most cited alongside Diego Alonso‐López, 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 Diego Alonso‐López Line = papers co-authored together Diego Alonso‐López links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20243
2 202119
3 2020131
4 20204
5 20204
6 202015
7 20198
8 2019112
9 201826
10 20183
11 201715
12 201688
13 201628
14 201573

About Diego Alonso‐López

Diego Alonso‐López is a scholar working on Computational Theory and Mathematics, Immunology, Genetics, Hematology and Pharmacology, having authored 14 papers that have together received 529 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Immune Cell Function and Interaction (4 papers), Computational Drug Discovery Methods (3 papers), CAR-T cell therapy research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), T-cell and B-cell Immunology (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (77 citations), Molecular Biology (351 citations), Computational Theory and Mathematics (62 citations), Oncology (92 citations) and Aging (5 citations). Diego Alonso‐López has collaborated with scholars based in Spain, United States and Puerto Rico. Frequent co-authors include Javier De Las Rivas, Miguel A. Gutiérrez, Elizabeta A. Rojas, F.J. Burguillo, Norma C. Gutiérrez, Luís A. Corchete, Michael A. Calderwood, L. Lambourne, Francisco Campos‐Laborie and Marc Vidal. Their work appears in journals such as Database, Scientific Reports, Biomolecules, Oncotarget and Cell Reports.

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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2026