Danny Reidenbach
Danny Reidenbach publishes mostly in Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Chemical Synthesis and Analysis and Protein Structure and Dynamics.
- World rank
- #3,072,476 of 7,710,434 ranked researchers
- Rank in United States
- #878,769 of 1,627,098
- Works
- 17
- Citations
- 45
- Citations per work
- 2.6
What does Danny Reidenbach research?
Danny Reidenbach's work is mostly in Biochemistry, Genetics and Molecular Biology (28%), Computer Science (18%), Materials Science (13%).
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
- Physical Sciences846.1%
- Computer Science317.9%
- Materials Science212.8%
- Chemistry17.7%
- Engineering17.7%
- Life Sciences528.2%
- Everything else315.4%
- Health Sciences210.3%
- Medicine210.3%
- 1Molecular Biology28% of their works
- 2Computational Theory and Mathematics18% of their works
- 3Materials Chemistry13% of their works
- 4Radiology, Nuclear Medicine and Imaging10% of their works
- 5Spectroscopy8% of their works
- 6Biomedical Engineering8% of their works
Research topics
- Computational Drug Discovery Methods
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Machine Learning in Materials Science
- Monoclonal and Polyclonal Antibodies Research
- Genetics, Bioinformatics, and Biomedical Research
- Analytical Chemistry and Chromatography
- Innovative Microfluidic and Catalytic Techniques Innovation
Which keywords describe Danny Reidenbach's research?
The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Molecular Docking, Virtual Screening, Drug Discovery, Fc Receptors, High-Throughput and Materials Informatics.
- Microfluidics
- Education
- Chiral Separation
- Therapeutic Antibodies
- Protein
- Materials Informatics
- Fc Receptors
- Virtual Screening
- Molecular Dynamics
- Machine Learning
- Molecular Docking
- Drug Discovery
- High-Throughput
- Peptide Synthesis
- Structure
- Bioinformatics
- Droplet Formation
- Liquid Chromatography
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 18 words, with their numbers
- Machine Learning112 topics
- Molecular Dynamics82 topics
- Molecular Docking71 topic
- Virtual Screening71 topic
- Drug Discovery41 topic
- Fc Receptors41 topic
- High-Throughput41 topic
- Materials Informatics41 topic
- Peptide Synthesis41 topic
- Protein41 topic
- Structure41 topic
- Therapeutic Antibodies41 topic
- Bioinformatics21 topic
- Chiral Separation21 topic
- Droplet Formation21 topic
- Education21 topic
- Liquid Chromatography21 topic
- Microfluidics21 topic
Where does Danny Reidenbach work?
Danny Reidenbach's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Danny Reidenbach have?
OpenAlex counts 17 works and 45 citations for Danny Reidenbach, an h-index of 4, ranking #3,072,476 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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