Science Explorer Back to mapMap
Discussion
Researcher · University of California, Merced · United States

A. Ali Heydari

A. Ali Heydari publishes mostly in Molecular Biology, Artificial Intelligence and Cancer Research, on topics such as Single-cell and spatial transcriptomics, Cell Image Analysis Techniques and Cancer-related molecular mechanisms research.

ORCID 0000-0002-9141-3809 OpenAlex
World rank
#2,145,833
of 7,710,434 ranked researchers
Rank in United States
#645,917
of 1,627,098
Works
19
Citations
376
Citations per work
19.8
h-index
8
i10-index 8Top 87% in Molecular Biology
A. Ali Heydari

What does A. Ali Heydari research?

A. Ali Heydari's work is mostly in Biochemistry, Genetics and Molecular Biology (47%), Computer Science (23%), Health Professions (7%).

Life Sciences: 9 works · 46.8% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 46.8% of their workMolecular Biology: 6 works · 30.6% of their workCancer Research: 2 works · 9.7% of their workBiophysics: 1 works · 6.5% of their workEverything else: 5 works · 24.1% of their workPhysical Sciences: 4 works · 22.6% of their workComputer Science: 4 works · 22.6% of their workArtificial Intelligence: 3 works · 16.1% of their workComputer Vision and Pattern Recognition: 1 works · 6.5% of their workHealth Sciences: 1 works · 6.5% of their workHealth Professions: 1 works · 6.5% of their workHealth Information Management: 1 works · 6.5% of their workTHEIR WORKA. Ali Heydari19works
Life Sciences47%Physical Sciences23%Health Sciences7%

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 Biology946.8%
  2. Everything else524.1%
    1. Computer Science422.6%
    1. Health Professions16.5%
  1. 1Molecular Biology31% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Cancer Research10% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Health Information Management6% of their works
  6. 6Biophysics6% of their works

Research topics

Which keywords describe A. Ali Heydari's research?

The keywords of their largest research topics: Gene Expression, Machine Learning, Single-Cell, Transcriptomics, Cancer, Deep Learning, Healthcare and Feature Selection.

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.

All 22 words, with their numbers
  1. Gene Expression122 topics
  2. Machine Learning113 topics
  3. Single-Cell91 topic
  4. Transcriptomics91 topic
  5. Cancer82 topics
  6. Deep Learning82 topics
  7. Healthcare82 topics
  8. Feature Selection72 topics
  9. Big Data Analytics41 topic
  10. Bioimage Analysis41 topic
  11. Electronic Health Records41 topic
  12. Exosomes41 topic
  13. Extracellular Vesicles41 topic
  14. High-Content Screening41 topic
  15. Long Noncoding RNAs41 topic
  16. Medical Diagnosis41 topic
  17. Predictive Modeling41 topic
  18. RNA Regulation41 topic
  19. Data Analysis31 topic
  20. Microarray31 topic
  21. Cancer Genomics21 topic
  22. Mutational Signatures21 topic

Where does A. Ali Heydari work?

A. Ali Heydari's main affiliation in the publication record is University of California, Merced, United States.

How many publications and citations does A. Ali Heydari have?

OpenAlex counts 19 works and 376 citations for A. Ali Heydari, an h-index of 8, ranking #2,145,833 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

Discussion

Ask a question or share a note about A. Ali Heydari. Posts are plain text and can be reported.