Kenneth Smith
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- Bioinformatics and Genomic Networks
Papers in
-
- Bioinformatics and Genomic Networks 2
- CRISPR and Genetic Engineering 2
- Protein purification and stability 1
- Glycosylation and Glycoproteins Research 1
- Genetics 3
- Genomics and Rare Diseases 1
- Co-authors
- Barry Honig (1 shared paper)Richard Fine (1 shared paper)Maria T. Mas (1 shared paper)Kazuo Aisaka (1 shared paper)Aris Floratos (3 shared papers)Ji Zhou (2 shared papers)Andrea Califano (2 shared papers)John Watkinson (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Database (1 paper)Genes Brain & Behavior (1 paper)Gut (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Kenneth Smith
9 papers receiving 444 citations
Peers
Comparison fields: 5 of 94
- Aging 45
- Molecular Biology 289
- Genetics 79
- Immunology and Allergy 13
- Computational Theory and Mathematics 31
Countries citing papers authored by Kenneth Smith
This map shows the geographic impact of Kenneth Smith'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 Kenneth Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Smith more than expected).
Fields of papers citing papers by Kenneth Smith
This network shows the impact of papers produced by Kenneth Smith. 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 Kenneth Smith. The network helps show where Kenneth Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Smith, 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 | 1994 | 98 | |
| 2 | 1992 | 97 | |
| 3 | 2010 | 69 | |
| 4 | 2003 | 50 | |
| 5 | 1996 | 49 | |
| 6 | 1983 | 29 | |
| 7 | 1982 | 29 | |
| 8 | 2017 | 22 | |
| 9 | 2022 | 5 |
About Kenneth Smith
Kenneth Smith is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Aging and Surgery, having authored 9 papers that have together received 448 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Computational Drug Discovery Methods (2 papers), CRISPR and Genetic Engineering (2 papers), Autism Spectrum Disorder Research (1 paper), Genomics and Rare Diseases (1 paper), Protein purification and stability (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Aging (45 citations), Molecular Biology (289 citations), Genetics (79 citations), Immunology and Allergy (13 citations) and Computational Theory and Mathematics (31 citations). Kenneth Smith has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Barry Honig, Richard Fine, Maria T. Mas, Kazuo Aisaka, Aris Floratos, Ji Zhou, Andrea Califano, John Watkinson, R Waterston and Donald G. Moerman. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Database, Genes Brain & Behavior, Gut and Developmental Biology.
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.