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Researcher · Slippery Rock University · United States

Michael P. Conlon

Michael P. Conlon publishes mostly in Molecular Biology, Computer Science Applications and Cardiology and Cardiovascular Medicine, on topics such as Teaching and Learning Programming, Retinoids in leukemia and cellular processes and Experimental Learning in Engineering.

OpenAlex
World rank
#3,212,969
of 7,710,434 ranked researchers
Rank in United States
#912,403
of 1,627,098
Works
20
Citations
258
Citations per work
12.9
h-index
9
i10-index 8Top 82% in Molecular Biology
Michael P. Conlon

What does Michael P. Conlon research?

Michael P. Conlon's work is mostly in Biochemistry, Genetics and Molecular Biology (23%), Computer Science (19%), Medicine (8%).

Everything else: 8 works · 37.8% of their workPhysical Sciences: 5 works · 24.6% of their workComputer Science: 4 works · 18.9% of their workComputer Science Applications: 3 works · 13.2% of their workInformation Systems: 1 works · 5.7% of their workEngineering: 1 works · 5.7% of their workMedia Technology: 1 works · 5.7% of their workLife Sciences: 5 works · 22.6% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 22.6% of their workMolecular Biology: 5 works · 22.6% of their workHealth Sciences: 2 works · 7.5% of their workMedicine: 2 works · 7.5% of their workCardiology and Cardiovascular Medicine: 2 works · 7.5% of their workSocial Sciences: 2 works · 7.5% of their workSocial Sciences: 2 works · 7.5% of their workEducation: 2 works · 7.5% of their workTHEIR WORKMichael P. Conlon20works
Life Sciences23%Physical Sciences25%Health Sciences8%Social Sciences8%

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. Everything else837.8%
    1. Computer Science418.9%
    2. Engineering15.7%
    1. Biochemistry, Genetics and Molecular Biology522.6%
    1. Medicine27.5%
    1. Social Sciences27.5%
  1. 1Molecular Biology23% of their works
  2. 2Computer Science Applications13% of their works
  3. 3Cardiology and Cardiovascular Medicine8% of their works
  4. 4Education8% of their works
  5. 5Information Systems6% of their works
  6. 6Media Technology6% of their works

Research topics

Which keywords describe Michael P. Conlon's research?

The keywords of their largest research topics: STEM Education, Computational Thinking, Inflammation, Oxidative Stress, Programming Education, Acute Promyelocytic Leukemia, Cardiomyopathies and Engineering Education.

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 19 words, with their numbers
  1. STEM Education72 topics
  2. Computational Thinking41 topic
  3. Inflammation42 topics
  4. Oxidative Stress42 topics
  5. Programming Education41 topic
  6. Acute Promyelocytic Leukemia31 topic
  7. Cardiomyopathies31 topic
  8. Engineering Education31 topic
  9. Genetic Mutations31 topic
  10. Remote Laboratories31 topic
  11. Retinoic Acid31 topic
  12. Antioxidants21 topic
  13. IT skills21 topic
  14. Lipid Peroxidation21 topic
  15. Macular Degeneration21 topic
  16. Muscle Regeneration21 topic
  17. Retinal Pigment Epithelium21 topic
  18. Skeletal Muscle Atrophy21 topic
  19. curriculum guidelines21 topic

Where does Michael P. Conlon work?

Michael P. Conlon's main affiliation in the publication record is Slippery Rock University, United States.

How many publications and citations does Michael P. Conlon have?

OpenAlex counts 20 works and 258 citations for Michael P. Conlon, an h-index of 9, ranking #3,212,969 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.

Discussion

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