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Company · London · United Kingdom

Peptcell (United Kingdom)

seekacure.comROR OpenAlex
Research works
38
▲ 99% vs 2013–17
Citations
551
14.3 per fractional work
Top-10% rate
10.5%
record average 16.5%
Open access
42%
world 28%

Not ranked overall: Peptcell (United Kingdom) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.26× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 6.74× its world share, 4 worksBiochemistry, Geneti…Immunology and Microbiology: 1.06× its world share, 0 worksImmunology and Micro…Neuroscience: 0.83× its world share, 0 worksNeuroscienceChemical Engineering: 2.54× its world share, 0 worksChemical EngineeringComputer Science: 1.38× its world share, 1 worksComputer ScienceEarth and Planetary Sciences: 0.85× its world share, 0 worksEarth and Planetary …Engineering: 0.44× its world share, 1 worksEngineeringMaterials Science: 0.25× its world share, 0 worksMaterials ScienceHealth Professions: 1.26× its world share, 0 worksHealth ProfessionsMedicine: 1.49× its world share, 4 worksMedicineArts and Humanities: 0.92× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 0 worksBusiness, Management…Psychology: 0.65× its world share, 0 worksPsychologySocial Sciences: 0.21× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 6.7×. Every wedge is a field page.

Which keywords describe research at Peptcell (United Kingdom)?

By fractional works in all years, weighted toward what it does more of than the world: Machine Learning, Epidemiology, Deep Learning, Antigen Presentation, Antibodies, Pandemic, Image Processing and Pathogenesis.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Machine Learning5▲ 5.8×8 topics
  2. Epidemiology4▲ 2.7×22 topics
  3. Deep Learning3▲ 3.9×6 topics
  4. Antibodies2▲ 64×2 topics
  5. Antigen Presentation2▲ 58×2 topics
  6. Image Processing2▲ 15×3 topics
  7. Pandemic2▲ 11×3 topics
  8. Pathogenesis2▲ 8.3×5 topics
  9. Immunity2▲ 13×3 topics
  10. History2▲ 5.0×5 topics
  11. Microscopy2▲ 67×2 topics
  12. Bioimage Analysis2▲ 148×1 topic
  13. Feature Extraction2▲ 14×2 topics
  14. Gene Expression2▲ 6.5×3 topics
  15. High-Content Screening2▲ 148×1 topic
  16. Influenza2▲ 80×1 topic
  17. Vaccines2▲ 58×2 topics
  18. Virus2▲ 32×1 topic
  19. Cancer Immunotherapy1▲ 25×2 topics
  20. Gender1▲ 6.3×3 topics
  21. Innate Immunity1▲ 10×2 topics
  22. Artificial Intelligence1▲ 4.2×3 topics
  23. Convolutional Neural Networks1▲ 8.2×2 topics
  24. Dendritic Cells1▲ 29×1 topic
  25. Medical Image Analysis1▲ 29×2 topics
  26. Medical Imaging1▲ 12×2 topics
  27. Quantitative1▲ 28×2 topics
  28. Quantitative Analysis1▲ 20×2 topics
  29. Tumor Antigen1▲ 41×1 topic
  30. Vaccine1▲ 8.4×4 topics
  31. Immune Response1▲ 4.9×6 topics
  32. Radiomics1▲ 49×1 topic
  33. Tumor Heterogeneity1▲ 49×1 topic
  34. Chatbots1▲ 140×1 topic
  35. Data Analysis1▲ 8.8×2 topics
  36. Service Robots1▲ 68×1 topic
  37. France1▲ 119×1 topic
  38. Normalization1▲ 36×1 topic
  39. Real-Time PCR1▲ 60×1 topic
  40. Sociopolitical1▲ 75×1 topic

Which research topics does Peptcell (United Kingdom) publish most on?

By volume in 2022–2025: Cell Image Analysis Techniques, Molecular Biology Techniques and Applications, Radiomics and Machine Learning in Medical Imaging and AI in cancer detection.

Cell Image Analysis Techniques: 1 fractional worksMolecular Biology Techniques and Applications: 1 fractional worksRadiomics and Machine Learning in Medical Imaging: 1 fractional worksAI in cancer detection: 1 fractional worksSpectroscopy Techniques in Biomedical and Chemical Research: 0 fractional worksCancer Cells and Metasta…0Cancer Cells and Metastasis: 0 fractional worksCRISPR and Genetic Engineering: 0 fractional worksCancer Genomics and Diagnostics: 0 fractional worksBiotechnology and Related Fields: 0 fractional worksSingle-cell and spatial transcriptomics: 0 fractional works
BiophysicsMolecular BiologyRadiology, Nuclear Medicine and ImagingArtificial Intelligence3 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Cell Image Analysis Techniques Biophysics 1 works
  2. 2 Molecular Biology Techniques and Applications Molecular Biology 1 works
  3. 3 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works
  4. 4 AI in cancer detection Artificial Intelligence 1 works
  5. 5 Spectroscopy Techniques in Biomedical and Chemical Research Biophysics 0 works
  6. 6 Cancer Cells and Metastasis Oncology 0 works
  7. 7 CRISPR and Genetic Engineering Molecular Biology 0 works
  8. 8 Cancer Genomics and Diagnostics Cancer Research 0 works
  9. 9 Biotechnology and Related Fields Public Health, Environmental and Occupational Health 0 works
  10. 10 Single-cell and spatial transcriptomics Molecular Biology 0 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available42.5%not open57.5%

World: 28% of research is openly available.

with international co-authors39.9%domestic only60.1%

World: 19% is written across borders.

How has Peptcell (United Kingdom)'s research output changed?

Output in 2018–2022 was 99% higher than in 2013–2017.

200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in London

All research institutions in London

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.