- Research works
- 57 ▲ 195% vs 2018-21
- Citations
- 967 16.9 per fractional work
- Top-10% rate
- 4.9% all institutions 10.0%
- Open access
- 45% world 40%
- International
- 28% world 18%
Not ranked overall: SimBiotic Software (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does SimBiotic Software (United States) work in?
In 2022-now, 41% of research at SimBiotic Software (United States) is in Life Sciences, 33% in Health Sciences. Its largest fields are Biochemistry, Genetics and Molecular Biology (37%), Medicine (33%), Social Sciences (6%). It does 2.2× the world's share of Life Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 15 fields, with their numbers
- Life Sciences1340.8%
- Health Sciences1133.3%
- Medicine1032.7%
- Health Professions00.6%
- Physical Sciences515.1%
- Computer Science25.2%
- Engineering13.4%
- Mathematics13.1%
- Environmental Science12.3%
- Chemistry01.0%
- Social Sciences310.8%
- Social Sciences25.6%
- Decision Sciences12.1%
- Arts and Humanities01.6%
- Psychology01.4%
- Business, Management and Accounting00.3%
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.
Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 6.9×. Every wedge is a field page.
All 15 fields, with their numbers
- Biochemistry, Genetics and Molecular Biology6.92×12 works
- Mathematics2.64×1 works
- Decision Sciences2.12×1 works
- Medicine1.70×10 works
- Immunology and Microbiology1.57×0 works
- Chemistry0.67×0 works
- Computer Science0.67×2 works
- Arts and Humanities0.55×0 works
- Agricultural and Biological Sciences0.48×1 works
- Environmental Science0.46×1 works
- Psychology0.44×0 works
- Social Sciences0.44×2 works
- Engineering0.23×1 works
- Health Professions0.23×0 works
- Business, Management and Accounting0.08×0 works
- Biochemistry, Genetics and Molecular Biology 6.9×
- Mathematics 2.6×
- Decision Sciences 2.1×
- Medicine 1.7×
- Immunology and Microbiology 1.6×
- Chemistry 0.7×
- Computer Science 0.7×
- Arts and Humanities 0.6×
- Agricultural and Biological Sciences 0.5×
- Environmental Science 0.5×
- Psychology 0.4×
- Social Sciences 0.4×
- Engineering 0.2×
- Health Professions 0.2×
- Business, Management and Accounting 0.1×
Who are the top researchers at SimBiotic Software (United States)?
Ranked on the quality score, Eli Meir, John R. Pfeiffer and Denise S. Pope lead among researchers whose main affiliation is SimBiotic Software (United States).
- 1
Eli Meir
United States · #719,981 worldwide 3.3k citations · 64 works
- 2
John R. Pfeiffer
United States · #1,447,842 worldwide 1k citations · 89 works
- 3
Denise S. Pope
United States · #2,001,165 worldwide 874 citations · 25 works
- 4
Susan L. Maruca
United States · #2,064,173 worldwide 635 citations · 33 works
- 5
John A. Cole
United States · #2,771,752 worldwide 838 citations · 102 works
- 6
Tushar Pandey
United States · #4,483,268 worldwide 147 citations · 39 works
Which keywords describe research at SimBiotic Software (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Precision Medicine, Medical Imaging, Radiomics, Gene Expression, Targeted Therapy, Magnetic Resonance Imaging and Cancer Genomics.
- HIF-1
- Higher Education
- Transcriptomics
- RNA-Seq
- Imaging
- Epidemiology
- Tumor Microenvironment
- Education
- Quantitative
- Neoadjuvant Therapy
- Radiotherapy
- Diffusion-Weighted Imaging
- Targeted Therapy
- Mutational Signatures
- Cancer Genomics
- Radiomics
- Precision Medicine
- Machine Learning
- Medical Imaging
- Gene Expression
- Magnetic Resonance Imaging
- Perfusion Imaging
- Breast MRI
- Deep Learning
- Breast Tumours
- Treatment Response
- Cancer
- Synthetic Biology
- Convolutional Neural Networks
- Genomics
- PET/CT
- Single-Cell
- Educational Technology
- Data Analysis
- Warburg Effect
Size is fractional works in 2022-now 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 35 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 35 words, with their numbers
- Machine Learning5▲ 4.8×4 topics
- Precision Medicine4▲ 25×2 topics
- Medical Imaging4▲ 21×1 topic
- Radiomics4▲ 98×1 topic
- Gene Expression3▲ 16×3 topics
- Cancer Genomics2▲ 97×1 topic
- Magnetic Resonance Imaging2▲ 28×3 topics
- Mutational Signatures2▲ 97×1 topic
- Perfusion Imaging2▲ 94×2 topics
- Targeted Therapy2▲ 32×2 topics
- Breast MRI2▲ 255×1 topic
- Diffusion-Weighted Imaging2▲ 255×1 topic
- Deep Learning2▲ 1.77×5 topics
- Radiotherapy2▲ 15×2 topics
- Breast Tumours2▲ 106×1 topic
- Neoadjuvant Therapy2▲ 23×2 topics
- Treatment Response2▲ 106×1 topic
- Quantitative2▲ 57×2 topics
- Cancer2▲ 3.5×4 topics
- Education2▲ 2.7×3 topics
- Synthetic Biology1▲ 75×2 topics
- Tumor Microenvironment1▲ 9.8×3 topics
- Convolutional Neural Networks1▲ 5.8×2 topics
- Epidemiology1◆ 1.06×8 topics
- Genomics1▲ 14×2 topics
- Imaging1▲ 15×1 topic
- PET/CT1▲ 67×1 topic
- RNA-Seq1▲ 34×2 topics
- Single-Cell1▲ 71×1 topic
- Transcriptomics1▲ 71×1 topic
- Educational Technology1▲ 3.0×2 topics
- Higher Education1▲ 6.4×2 topics
- Data Analysis1▲ 12×3 topics
- HIF-11▲ 52×1 topic
- Warburg Effect1▲ 52×1 topic
Which research topics does SimBiotic Software (United States) publish most on?
By volume in 2022-now: Radiomics and Machine Learning in Medical Imaging, Cancer Genomics and Diagnostics, MRI in cancer diagnosis and Breast Cancer Treatment Studies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 4 works
- 2 Cancer Genomics and Diagnostics Cancer Research 2 works
- 3 MRI in cancer diagnosis Radiology, Nuclear Medicine and Imaging 2 works
- 4 Breast Cancer Treatment Studies Cancer Research 2 works
- 5 Single-cell and spatial transcriptomics Molecular Biology 1 works
- 6 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 1 works
- 7 Cancer, Hypoxia, and Metabolism Cancer Research 1 works
- 8 AI in cancer detection Artificial Intelligence 1 works
- 9 Genetics, Bioinformatics, and Biomedical Research Molecular Biology 1 works
- 10 Microbial Metabolic Engineering and Bioproduction Molecular Biology 1 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.
World: 40% of research is openly available.
World: 18% is written across borders.
How has SimBiotic Software (United States)'s research output changed?
Output in 2022-2025 was 195% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is SimBiotic Software (United States) as a percentage of every work published that year, 0.00010% in 2024.
Fractional works of SimBiotic Software (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Ithaca
- Cornell University
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Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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