Stephen C. Grubb
Impact in
Papers in
-
- Bioinformatics and Genomic Networks 7
- Biomedical Text Mining and Ontologies 5
- Metabolomics and Mass Spectrometry Studies 3
- Gene expression and cancer classification 3
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Molly A. Bogue (11 shared papers)Carol J. Bult (5 shared papers)Terry P. Maddatu (3 shared papers)Gary A. Churchill (2 shared papers)Elissa J. Chesler (3 shared papers)Timothy M. Stearns (2 shared papers)Beena M. Kadakkuzha (2 shared papers)Vivek M. Philip (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)The Journals of Gerontology Series A (1 paper)Controlled Clinical Trials (1 paper)Frontiers in Psychiatry (1 paper)Genetica (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen C. Grubb
12 papers receiving 632 citations
Peers
Comparison fields: 5 of 95
- Aging 33
- Genetics 249
- Molecular Biology 340
- Physiology 93
- Behavioral Neuroscience 11
Countries citing papers authored by Stephen C. Grubb
This map shows the geographic impact of Stephen C. Grubb'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 Stephen C. Grubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. Grubb more than expected).
Fields of papers citing papers by Stephen C. Grubb
This network shows the impact of papers produced by Stephen C. Grubb. 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 Stephen C. Grubb. The network helps show where Stephen C. Grubb may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen C. Grubb, 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 | 2013 | 91 | |
| 2 | 2004 | 81 | |
| 3 | 2006 | 70 | |
| 4 | 2007 | 70 | |
| 5 | 2004 | 69 | |
| 6 | 2008 | 66 | |
| 7 | 2011 | 50 | |
| 8 | 2019 | 48 | |
| 9 | 2017 | 43 | |
| 10 | 2014 | 30 | |
| 11 | 2019 | 21 | |
| 12 | 2021 | 3 | |
| 13 | 1990 | 2 |
About Stephen C. Grubb
Stephen C. Grubb is a scholar working on Molecular Biology, Genetics, Pharmacology, Cognitive Neuroscience and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 644 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene expression and cancer classification (3 papers), Cancer Genomics and Diagnostics (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Aging (33 citations), Genetics (249 citations), Molecular Biology (340 citations), Physiology (93 citations) and Behavioral Neuroscience (11 citations). Stephen C. Grubb has collaborated with scholars based in United States. Frequent co-authors include Molly A. Bogue, Carol J. Bult, Terry P. Maddatu, Gary A. Churchill, Elissa J. Chesler, Timothy M. Stearns, Beena M. Kadakkuzha, Vivek M. Philip, Govindarajan Kunde‐Ramamoorthy and Daniel A. Skelly. Their work appears in journals such as Nucleic Acids Research, The Journals of Gerontology Series A, Controlled Clinical Trials, Frontiers in Psychiatry and Genetica.
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.