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Researcher · Smith-Kettlewell Eye Research Institute · United States

D. Max Snodderly

D. Max Snodderly publishes mostly in Cognitive Neuroscience, Ophthalmology and Molecular Biology, on topics such as Visual perception and processing mechanisms, Antioxidant Activity and Oxidative Stress and Neural dynamics and brain function.

ORCID 0000-0002-3428-609X OpenAlex
World rank
#255,324
of 7,710,434 ranked researchers
Rank in United States
#93,769
of 1,627,098
Works
118
Citations
9.9k
Citations per work
84.2
h-index
51
i10-index 71Top 3.8% in Cognitive Neuroscience
D. Max Snodderly

What does D. Max Snodderly research?

D. Max Snodderly's work is mostly in Neuroscience (34%), Medicine (30%), Biochemistry, Genetics and Molecular Biology (12%).

Life Sciences: 55 works · 46.3% of their workNeuroscience: 40 works · 33.8% of their workCognitive Neuroscience: 32 works · 27.2% of their workCellular and Molecular Neuroscience: 8 works · 6.6% of their workBiochemistry, Genetics and Molecular Biology: 15 works · 12.5% of their workMolecular Biology: 15 works · 12.5% of their workHealth Sciences: 36 works · 30.5% of their workMedicine: 36 works · 30.5% of their workOphthalmology: 16 works · 13.4% of their workBiochemistry: 14 works · 11.5% of their workEpidemiology: 7 works · 5.6% of their workEverything else: 27 works · 23.2% of their workTHEIR WORKD. Max Snodderly118works
Life Sciences46%Health Sciences30%

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. Neuroscience4033.8%
    2. Biochemistry, Genetics and Molecular Biology1512.5%
    1. Medicine3630.5%
  3. Everything else2723.2%
  1. 1Cognitive Neuroscience27% of their works
  2. 2Ophthalmology13% of their works
  3. 3Molecular Biology12% of their works
  4. 4Biochemistry12% of their works
  5. 5Cellular and Molecular Neuroscience7% of their works
  6. 6Epidemiology6% of their works

Research topics

Which keywords describe D. Max Snodderly's research?

The keywords of their largest research topics: Inflammation, Macular Degeneration, Oxidative Stress, Neural Processing, Visual Perception, Diabetic Retinopathy, Antioxidants and Lipid Peroxidation.

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 20 words, with their numbers
  1. Inflammation582 topics
  2. Macular Degeneration583 topics
  3. Oxidative Stress582 topics
  4. Neural Processing471 topic
  5. Visual Perception471 topic
  6. Diabetic Retinopathy352 topics
  7. Antioxidants341 topic
  8. Lipid Peroxidation341 topic
  9. Cortical Networks301 topic
  10. Neuronal Oscillations301 topic
  11. Retinal Pigment Epithelium241 topic
  12. Vascular Endothelial Growth Factor241 topic
  13. Gene Therapy231 topic
  14. Retinitis Pigmentosa231 topic
  15. Myopia161 topic
  16. Visual Impairment161 topic
  17. Acute Promyelocytic Leukemia111 topic
  18. Deep Learning111 topic
  19. Retinal Disease111 topic
  20. Retinoic Acid111 topic

Where does D. Max Snodderly work?

D. Max Snodderly's main affiliation in the publication record is Smith-Kettlewell Eye Research Institute, United States.

How many publications and citations does D. Max Snodderly have?

OpenAlex counts 118 works and 9,938 citations for D. Max Snodderly, an h-index of 51, ranking #255,324 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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