John Gregg
Impact in
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- HIV Research and Treatment
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- Neuroscience of respiration and sleep
Papers in
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- Microbial Metabolic Engineering and Bioproduction 1
- Photosynthetic Processes and Mechanisms 1
- Machine Learning in Bioinformatics 1
- Genomics and Phylogenetic Studies 1
- Genetics 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Benjamin H. Landing (1 shared paper)William R. Shankle (1 shared paper)Rachel Latanich (1 shared paper)Caroline C. Garliss (1 shared paper)Joel N. Blankson (1 shared paper)Frederic D. Bushman (1 shared paper)Christopher L. Nobles (1 shared paper)Christopher W. Pohlmeyer (1 shared paper)
- Journals
- BMC Microbiology (1 paper)JCI Insight (1 paper)BioData Mining (1 paper)Pediatric Pathology (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- United States
In The Last Decade
John Gregg
5 papers receiving 61 citations
Peers
Comparison fields: 5 of 28
- Virology 27
- Endocrine and Autonomic Systems 7
- Infectious Diseases 19
- Immunology 16
- Emergency Medicine 6
Countries citing papers authored by John Gregg
This map shows the geographic impact of John Gregg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gregg more than expected).
Fields of papers citing papers by John Gregg
This network shows the impact of papers produced by John Gregg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Gregg. The network helps show where John Gregg may publish in the future.
Co-authors
The 24 scholars most cited alongside John Gregg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 29 | |
| 2 | 1983 | 24 | |
| 3 | 2018 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 1 | |
| 6 | PMLB v1.0: an open source dataset collection for benchmarking machine learning methods | 2020 | 0 |
About John Gregg
John Gregg is a scholar working on Molecular Biology, Genetics, Virology, Epidemiology and Artificial Intelligence, having authored 6 papers that have together received 63 indexed citations. Recurring topics across this work include HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Machine Learning in Bioinformatics (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Virology (27 citations), Endocrine and Autonomic Systems (7 citations), Infectious Diseases (19 citations), Immunology (16 citations) and Emergency Medicine (6 citations). John Gregg has collaborated with scholars based in United States. Frequent co-authors include Benjamin H. Landing, William R. Shankle, Rachel Latanich, Caroline C. Garliss, Joel N. Blankson, Frederic D. Bushman, Christopher L. Nobles, Christopher W. Pohlmeyer, María Salgado and Eileen P. Scully. Their work appears in journals such as BMC Microbiology, JCI Insight, BioData Mining, Pediatric Pathology and The Journal of Open Source Software.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.