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Researcher · Sartorius (United Kingdom) · United Kingdom

Gillian F. Lovell

Gillian F. Lovell publishes mostly in Biophysics, Immunology and Molecular Biology, on topics such as Cell Image Analysis Techniques, AI in cancer detection and Single-cell and spatial transcriptomics.

ORCID 0009-0004-5180-9704 OpenAlex
World rank
#5,283,636
of 7,710,434 ranked researchers
Rank in United Kingdom
#312,542
of 367,258
Works
30
Citations
34
Citations per work
1.1
h-index
3
i10-index 1Top 98% in Biophysics
Gillian F. Lovell

What does Gillian F. Lovell research?

Gillian F. Lovell's work is mostly in Biochemistry, Genetics and Molecular Biology (35%), Computer Science (21%), Immunology and Microbiology (16%).

Life Sciences: 15 works · 51.2% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 35.3% of their workBiophysics: 6 works · 20.7% of their workMolecular Biology: 4 works · 14.6% of their workImmunology and Microbiology: 5 works · 15.9% of their workImmunology: 5 works · 15.9% of their workEverything else: 7 works · 21.9% of their workPhysical Sciences: 6 works · 20.8% of their workComputer Science: 6 works · 20.8% of their workComputer Vision and Pattern Recognition: 3 works · 11.0% of their workArtificial Intelligence: 3 works · 9.8% of their workHealth Sciences: 2 works · 6.1% of their workMedicine: 2 works · 6.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.1% of their workTHEIR WORKGillian F. Lovell30works
Life Sciences51%Physical Sciences21%Health Sciences6%

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 Biology1135.3%
    2. Immunology and Microbiology515.9%
  2. Everything else721.9%
    1. Computer Science620.8%
    1. Medicine26.1%
  1. 1Biophysics21% of their works
  2. 2Immunology16% of their works
  3. 3Molecular Biology15% of their works
  4. 4Computer Vision and Pattern Recognition11% of their works
  5. 5Artificial Intelligence10% of their works
  6. 6Radiology, Nuclear Medicine and Imaging6% of their works

Research topics

Which keywords describe Gillian F. Lovell's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Image Processing, Bioimage Analysis, High-Content Screening, Medical Image Analysis, Convolutional Neural Networks and Computer-Aided Detection.

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 23 words, with their numbers
  1. Deep Learning273 topics
  2. Machine Learning273 topics
  3. Image Processing192 topics
  4. Bioimage Analysis161 topic
  5. High-Content Screening161 topic
  6. Medical Image Analysis143 topics
  7. Convolutional Neural Networks112 topics
  8. Computer-Aided Detection81 topic
  9. Histopathology Images81 topic
  10. Cancer Immunotherapy72 topics
  11. Gene Expression62 topics
  12. CD4741 topic
  13. Single-Cell41 topic
  14. Transcriptomics41 topic
  15. apoptotic cells41 topic
  16. Dendritic Cells31 topic
  17. Graph Cuts31 topic
  18. Image Segmentation31 topic
  19. Immunity31 topic
  20. Leukemia Classification31 topic
  21. Malaria Parasite Detection31 topic
  22. Quantitative21 topic
  23. Real-Time PCR21 topic

Where does Gillian F. Lovell work?

Gillian F. Lovell's main affiliation in the publication record is Sartorius (United Kingdom), United Kingdom.

How many publications and citations does Gillian F. Lovell have?

OpenAlex counts 30 works and 34 citations for Gillian F. Lovell, an h-index of 3, ranking #5,283,636 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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