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Researcher · Universidade de Santiago de Compostela · Spain

Humberto González‐Díaz

Humberto González‐Díaz publishes mostly in Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Bioinformatics and Protein Structure and Dynamics.

ORCID 0000-0002-9392-2797 OpenAlex
World rank
#516,142
of 7,710,434 ranked researchers
Rank in Spain
#9,395
of 204,306
Works
408
Citations
11k
Citations per work
25.8
h-index
57
i10-index 232Top 2.4% in Molecular Biology
Humberto González‐Díaz

What does Humberto González‐Díaz research?

Humberto González‐Díaz's work is mostly in Biochemistry, Genetics and Molecular Biology (37%), Computer Science (21%), Chemistry (8%).

Life Sciences: 150 works · 36.8% of their workBiochemistry, Genetics and Molecular Biology: 150 works · 36.8% of their workMolecular Biology: 150 works · 36.8% of their workPhysical Sciences: 129 works · 31.5% of their workComputer Science: 84 works · 20.7% of their workComputational Theory and Mathematics: 84 works · 20.7% of their workChemistry: 33 works · 8.0% of their workOrganic Chemistry: 20 works · 5.0% of their workSpectroscopy: 12 works · 3.0% of their workMaterials Science: 11 works · 2.8% of their workMaterials Chemistry: 11 works · 2.8% of their workEverything else: 118 works · 29.0% of their workHealth Sciences: 11 works · 2.7% of their workMedicine: 11 works · 2.7% of their workPharmacology: 11 works · 2.7% of their workTHEIR WORKHumbertoGonzález‐Díaz408works
Life Sciences37%Physical Sciences31%Health Sciences3%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Biochemistry, Genetics and Molecular Biology15036.8%
    1. Computer Science8420.7%
    2. Chemistry338.0%
    3. Materials Science112.8%
  3. Everything else11829.0%
    1. Medicine112.7%
  1. 1Molecular Biology37% of their works
  2. 2Computational Theory and Mathematics21% of their works
  3. 3Organic Chemistry5% of their works
  4. 4Spectroscopy3% of their works
  5. 5Materials Chemistry3% of their works
  6. 6Pharmacology3% of their works

Research topics

Which keywords describe Humberto González‐Díaz's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Prediction, Protein, Amino Acid Composition, Subcellular Localization and Molecular Dynamics.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Machine Learning3042 topics
  2. Molecular Docking2171 topic
  3. Virtual Screening2171 topic
  4. Prediction1422 topics
  5. Protein1422 topics
  6. Amino Acid Composition871 topic
  7. Subcellular Localization871 topic
  8. Molecular Dynamics551 topic
  9. Structure551 topic
  10. Gene Set Enrichment Analysis501 topic
  11. Protein-Protein Interaction Networks501 topic
  12. Ribosome441 topic
  13. Translation441 topic
  14. Mass Spectrometry221 topic
  15. Metabolomics221 topic
  16. Acetylcholinesterase181 topic
  17. Chiral Separation181 topic
  18. Cholinesterase Inhibitors181 topic
  19. Liquid Chromatography181 topic

Where does Humberto González‐Díaz work?

Humberto González‐Díaz's main affiliation in the publication record is Universidade de Santiago de Compostela, Spain.

How many publications and citations does Humberto González‐Díaz have?

OpenAlex counts 408 works and 10,528 citations for Humberto González‐Díaz, an h-index of 57, ranking #516,142 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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