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Researcher · Gladstone Institutes · United States

Kristina Hanspers

Kristina Hanspers publishes mostly in Molecular Biology, Immunology and Computational Theory and Mathematics, on topics such as Bioinformatics and Genomic Networks, Biomedical Text Mining and Ontologies and Gene expression and cancer classification.

ORCID 0000-0001-5410-599X OpenAlex
World rank
#202,501
of 7,710,434 ranked researchers
Rank in United States
#75,163
of 1,627,098
Works
68
Citations
10k
Citations per work
148.9
h-index
28
i10-index 35Top 17% in Molecular Biology
Kristina Hanspers

What does Kristina Hanspers research?

Kristina Hanspers's work is mostly in Biochemistry, Genetics and Molecular Biology (67%), Immunology and Microbiology (5%), Computer Science (5%).

Life Sciences: 49 works · 72.4% of their workBiochemistry, Genetics and Molecular Biology: 46 works · 67.1% of their workMolecular Biology: 43 works · 63.8% of their workCancer Research: 2 works · 3.3% of their workImmunology and Microbiology: 4 works · 5.3% of their workImmunology: 4 works · 5.3% of their workEverything else: 13 works · 19.0% of their workPhysical Sciences: 3 works · 4.6% of their workComputer Science: 3 works · 4.6% of their workComputational Theory and Mathematics: 3 works · 4.6% of their workHealth Sciences: 1 works · 2.0% of their workMedicine: 1 works · 2.0% of their workPharmacology: 1 works · 2.0% of their workSocial Sciences: 1 works · 2.0% of their workDecision Sciences: 1 works · 2.0% of their workInformation Systems and Management: 1 works · 2.0% of their workTHEIR WORKKristina Hanspers68works
Life Sciences72%Physical Sciences5%Health Sciences2%Social Sciences2%

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 Biology4667.1%
    2. Immunology and Microbiology45.3%
  2. Everything else1319.0%
    1. Computer Science34.6%
    1. Medicine12.0%
    1. Decision Sciences12.0%
  1. 1Molecular Biology64% of their works
  2. 2Immunology5% of their works
  3. 3Computational Theory and Mathematics5% of their works
  4. 4Cancer Research3% of their works
  5. 5Pharmacology2% of their works
  6. 6Information Systems and Management2% of their works

Research topics

Which keywords describe Kristina Hanspers's research?

The keywords of their largest research topics: Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Biomedical Ontologies, Text Mining, Machine Learning, Bioinformatics, Gene Expression and Data Analysis.

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 Analysis301 topic
  2. Protein-Protein Interaction Networks301 topic
  3. Biomedical Ontologies221 topic
  4. Text Mining221 topic
  5. Machine Learning192 topics
  6. Bioinformatics152 topics
  7. Gene Expression152 topics
  8. Data Analysis121 topic
  9. Microarray121 topic
  10. Molecular Docking71 topic
  11. Virtual Screening71 topic
  12. Cancer31 topic
  13. Education31 topic
  14. Genome-Scale Models31 topic
  15. Metabolic Engineering31 topic
  16. MicroRNA31 topic
  17. RNA-Seq31 topic
  18. Training31 topic
  19. sequence alignment31 topic

Where does Kristina Hanspers work?

Kristina Hanspers's main affiliation in the publication record is Gladstone Institutes, United States.

How many publications and citations does Kristina Hanspers have?

OpenAlex counts 68 works and 10,124 citations for Kristina Hanspers, an h-index of 28, ranking #202,501 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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