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Researcher · Heidelberg University · Germany

Julio Sáez-Rodríguez

Julio Sáez-Rodríguez publishes mostly in Molecular Biology, Computational Theory and Mathematics and Cancer Research, on topics such as Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis and Computational Drug Discovery Methods.

ORCID 0000-0002-8552-8976 OpenAlex
World rank
#13,357
of 7,710,434 ranked researchers
Rank in Germany
#724
of 364,343
Works
671
Citations
47k
Citations per work
70.2
h-index
95
i10-index 322Top 0.3% in Molecular Biology
Julio Sáez-Rodríguez

What does Julio Sáez-Rodríguez research?

Julio Sáez-Rodríguez's work is mostly in Biochemistry, Genetics and Molecular Biology (56%), Computer Science (6%), Immunology and Microbiology (3%).

Life Sciences: 393 works · 58.6% of their workBiochemistry, Genetics and Molecular Biology: 372 works · 55.5% of their workMolecular Biology: 321 works · 47.9% of their workCancer Research: 31 works · 4.6% of their workBiophysics: 20 works · 3.0% of their workImmunology and Microbiology: 21 works · 3.1% of their workImmunology: 21 works · 3.1% of their workEverything else: 217 works · 32.3% of their workPhysical Sciences: 44 works · 6.5% of their workComputer Science: 44 works · 6.5% of their workComputational Theory and Mathematics: 44 works · 6.5% of their workHealth Sciences: 17 works · 2.6% of their workMedicine: 17 works · 2.6% of their workOncology: 17 works · 2.6% of their workTHEIR WORKJulioSáez-Rodríguez671works
Life Sciences59%Physical Sciences6%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 Biology37255.5%
    2. Immunology and Microbiology213.1%
  2. Everything else21732.3%
    1. Computer Science446.5%
    1. Medicine172.6%
  1. 1Molecular Biology48% of their works
  2. 2Computational Theory and Mathematics6% of their works
  3. 3Cancer Research5% of their works
  4. 4Immunology3% of their works
  5. 5Biophysics3% of their works
  6. 6Oncology3% of their works

Research topics

Which keywords describe Julio Sáez-Rodríguez's research?

The keywords of their largest research topics: Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Machine Learning, Synthetic Biology, Gene Expression, Gene Regulatory Networks, Stochastic Gene Expression and Molecular Docking.

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. Gene Set Enrichment Analysis2071 topic
  2. Protein-Protein Interaction Networks2071 topic
  3. Machine Learning2023 topics
  4. Synthetic Biology1722 topics
  5. Gene Expression1432 topics
  6. Gene Regulatory Networks1241 topic
  7. Stochastic Gene Expression1241 topic
  8. Molecular Docking1031 topic
  9. Virtual Screening1031 topic
  10. Single-Cell901 topic
  11. Transcriptomics901 topic
  12. Data Analysis531 topic
  13. Microarray531 topic
  14. Genome-Scale Models481 topic
  15. Metabolic Engineering481 topic
  16. Bioimage Analysis461 topic
  17. High-Content Screening461 topic
  18. Cancer Genomics441 topic
  19. Mutational Signatures441 topic

Where does Julio Sáez-Rodríguez work?

Julio Sáez-Rodríguez's main affiliation in the publication record is Heidelberg University, Germany.

How many publications and citations does Julio Sáez-Rodríguez have?

OpenAlex counts 671 works and 47,098 citations for Julio Sáez-Rodríguez, an h-index of 95, ranking #13,357 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.

Discussion

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