George B. Sigal
George B. Sigal publishes mostly in Infectious Diseases, Molecular Biology and Epidemiology, on topics such as SARS-CoV-2 and COVID-19 Research, Tuberculosis Research and Epidemiology and SARS-CoV-2 detection and testing.
- World rank
- #256,830 of 7,710,434 ranked researchers
- Rank in United States
- #94,298 of 1,627,098
- Works
- 119
- Citations
- 5.6k
- Citations per work
- 47.1
What does George B. Sigal research?
George B. Sigal's work is mostly in Medicine (28%), Biochemistry, Genetics and Molecular Biology (16%), Immunology and Microbiology (4%).
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
- Everything else5848.5%
- Health Sciences3327.8%
- Medicine3327.8%
- Life Sciences2420.2%
- Physical Sciences43.5%
- Engineering43.5%
- 1Infectious Diseases20% of their works
- 2Molecular Biology16% of their works
- 3Epidemiology4% of their works
- 4Immunology4% of their works
- 5Neurology4% of their works
- 6Biomedical Engineering4% of their works
Research topics
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Advanced biosensing and bioanalysis techniques
- vaccines and immunoinformatics approaches
- Alzheimer's disease research and treatments
- Molecular Junctions and Nanostructures
Which keywords describe George B. Sigal's research?
The keywords of their largest research topics: SARS-CoV-2, Vaccine, ACE2 Receptor, Pandemic, Epidemiology, Immune Response, Biosensors and Coronavirus.
- Molecular Electronics
- Amyloid Hypothesis
- Epitope Prediction
- DNA nanotechnology
- Clinical Characteristics
- COVID-19
- Mycobacterium tuberculosis
- Coronavirus
- Immune Response
- Pandemic
- Vaccine
- SARS-CoV-2
- ACE2 Receptor
- Epidemiology
- Biosensors
- spike protein
- Tuberculosis
- Diagnostics
- Thrombosis
- Self-Assembly
- Peptide-MHC Binding
- Tau Pathology
- Self-Assembled Monolayers
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 23 words, with their numbers
- SARS-CoV-2433 topics
- Vaccine362 topics
- ACE2 Receptor312 topics
- Pandemic312 topics
- Epidemiology272 topics
- Immune Response272 topics
- Biosensors222 topics
- Coronavirus201 topic
- spike protein201 topic
- Mycobacterium tuberculosis161 topic
- Tuberculosis161 topic
- COVID-19121 topic
- Diagnostics121 topic
- Clinical Characteristics111 topic
- Thrombosis111 topic
- DNA nanotechnology101 topic
- Self-Assembly101 topic
- Epitope Prediction91 topic
- Peptide-MHC Binding91 topic
- Amyloid Hypothesis61 topic
- Tau Pathology61 topic
- Molecular Electronics51 topic
- Self-Assembled Monolayers51 topic
Where does George B. Sigal work?
George B. Sigal's main affiliation in the publication record is Meso Scale Discovery (United States), United States.
How many publications and citations does George B. Sigal have?
OpenAlex counts 119 works and 5,600 citations for George B. Sigal, an h-index of 29, ranking #256,830 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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