- Research works
- 118 ▼ 43% vs 2013–17
- Citations
- 2.3k 19.6 per fractional work
- Top-10% rate
- 1.1% record average 16.5%
- Open access
- 37% world 28%
Not ranked overall: CytRx (United States) 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.
Rings at 0.5×, 1× and 2×. Widest outward: Health Professions, 4.5×. Every wedge is a field page.
- Health Professions 4.5×
- Computer Science 4.5×
- Decision Sciences 2.5×
- Immunology and Microbiology 1.8×
- Business, Management and Accounting 1.1×
- Medicine 1.1×
- Social Sciences 1.0×
- Materials Science 0.7×
- Engineering 0.5×
- Neuroscience 0.4×
- Economics, Econometrics and Finance 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Arts and Humanities 0.1×
Who are the top researchers at CytRx (United States)?
Ranked on the composite score, Jack R. Barber and Daniel Levitt lead among researchers whose main affiliation is CytRx (United States).
- 1 Jack R. Barber United States · #447,583 worldwide 69 citations · 15 works
- 2 Daniel Levitt United States · #665,435 worldwide 83 citations · 30 works
Which keywords describe research at CytRx (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Healthcare, Big Data, Artificial Intelligence, Ethical Challenges, Precision Medicine, Deep Learning and Big Data Analytics.
- Social Cognitive Theory
- Policy Compliance
- Information Security
- Clinical Decision Support Systems
- Virtualization
- Fog Computing
- Digital Technologies
- COVID-19
- Energy Efficiency
- Smart Cities
- Fairness
- Cybersecurity
- Ethics
- Internet of Things
- Cloud Computing
- Big Data Analytics
- Ethical Challenges
- Artificial Intelligence
- Healthcare
- Machine Learning
- Big Data
- Deep Learning
- Precision Medicine
- Clinical Decision Support
- Data Mining
- Medical Imaging
- Algorithmic Bias
- Electronic Health Records
- Security
- Classification Models
- Medical Diagnosis
- Contact Tracing Apps
- Edge Computing
- MapReduce
- Career Development
- Health Information Exchange
- Patient Similarity
- Predictive Modeling
- Sustainability
Size is fractional works in 2022–2025 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 39 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 39 words, with their numbers
- Machine Learning8▲ 9.5×8 topics
- Healthcare8▲ 26×7 topics
- Big Data7▲ 27×6 topics
- Artificial Intelligence5▲ 13×3 topics
- Deep Learning4▲ 4.2×6 topics
- Ethical Challenges4▲ 69×2 topics
- Precision Medicine3▲ 26×2 topics
- Big Data Analytics2▲ 40×2 topics
- Clinical Decision Support2▲ 64×1 topic
- Cloud Computing2▲ 31×3 topics
- Data Mining2▲ 12×2 topics
- Internet of Things2▲ 9.9×3 topics
- Medical Imaging2▲ 17×1 topic
- Ethics2▲ 17×2 topics
- Algorithmic Bias2▲ 109×1 topic
- Cybersecurity2▲ 31×3 topics
- Electronic Health Records2▲ 80×2 topics
- Fairness2▲ 85×1 topic
- Security2▲ 11×4 topics
- Smart Cities2▲ 29×2 topics
- Classification Models2▲ 67×1 topic
- Energy Efficiency2▲ 6.5×2 topics
- Medical Diagnosis2▲ 64×1 topic
- COVID-191▲ 3.7×2 topics
- Contact Tracing Apps1▲ 475×1 topic
- Digital Technologies1▲ 35×1 topic
- Edge Computing1▲ 38×1 topic
- Fog Computing1▲ 42×1 topic
- MapReduce1▲ 83×1 topic
- Virtualization1▲ 62×1 topic
- Career Development1▲ 32×1 topic
- Clinical Decision Support Systems1▲ 159×1 topic
- Health Information Exchange1▲ 159×1 topic
- Information Security1▲ 39×1 topic
- Patient Similarity1▲ 65×1 topic
- Policy Compliance1▲ 95×1 topic
- Predictive Modeling1▲ 14×1 topic
- Social Cognitive Theory1▲ 85×1 topic
- Sustainability1▲ 1.51×2 topics
Which research topics does CytRx (United States) publish most on?
By volume in 2022–2025: Artificial Intelligence in Healthcare and Education, Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Cloud Computing and Resource Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Artificial Intelligence in Healthcare and Education Health Informatics 2 works
- 2 Ethics and Social Impacts of AI Safety Research 2 works
- 3 Artificial Intelligence in Healthcare Health Information Management 2 works
- 4 Cloud Computing and Resource Management Information Systems 1 works
- 5 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
- 6 COVID-19 Digital Contact Tracing Information Systems 1 works
- 7 Electronic Health Records Systems Health Information Management 1 works
- 8 Machine Learning in Healthcare Artificial Intelligence 1 works
- 9 Career Development and Diversity Safety Research 1 works
- 10 Information and Cyber Security Information Systems 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: 28% of research is openly available.
World: 19% is written across borders.
How has CytRx (United States)'s research output changed?
Output in 2018–2022 was 43% lower than in 2013–2017.
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 Los Angeles
- University of California, Los Angeles
- University of Southern California
- Cedars-Sinai Medical Center
- Film Independent
- UCLA Health
- Children's Hospital of Los Angeles
- California State University Los Angeles
- Loyola Marymount University
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.