Kenneth Day
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Muscle Physiology and Disorders
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 8
- Muscle Physiology and Disorders 4
- Cancer-related gene regulation 3
- Genomics and Phylogenetic Studies 3
-
- Blood Coagulation and Thrombosis Mechanisms 5
- Co-authors
- Zipora Yablonka‐Reuveni (4 shared papers)Gabi Shefer (3 shared papers)Devin Absher (8 shared papers)Andrew Shearer (1 shared paper)Pudur Jagadeeswaran (4 shared papers)R Myers (3 shared papers)Lindsay L. Waite (3 shared papers)Andrew B. West (1 shared paper)
- Journals
- Blood Cells Molecules and Diseases (4 papers)Nature Communications (2 papers)Developmental Biology (2 papers)PLoS ONE (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
Kenneth Day
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Aging 60
- Molecular Biology 961
- Genetics 124
- Cell Biology 161
- Hematology 95
Countries citing papers authored by Kenneth Day
This map shows the geographic impact of Kenneth Day'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 Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Day more than expected).
Fields of papers citing papers by Kenneth Day
This network shows the impact of papers produced by Kenneth Day. 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 Day. The network helps show where Kenneth Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 268 | |
| 2 | 2010 | 181 | |
| 3 | 2006 | 160 | |
| 4 | 2014 | 153 | |
| 5 | 2007 | 104 | |
| 6 | Cellular mechanisms of cardiac mechano-electric feedback in a mathematical model. | 1998 | 86 |
| 7 | 2015 | 72 | |
| 8 | 2002 | 61 | |
| 9 | 2004 | 59 | |
| 10 | 2007 | 53 | |
| 11 | 2009 | 49 | |
| 12 | 2015 | 43 | |
| 13 | 2018 | 33 | |
| 14 | 2003 | 33 | |
| 15 | 2001 | 24 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2014 | 12 | |
| 20 | 2009 | 9 |
About Kenneth Day
Kenneth Day is a scholar working on Molecular Biology, Hematology, Genetics, Surgery and Genetics, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Muscle Physiology and Disorders (4 papers), Cancer-related gene regulation (3 papers), Genomics and Phylogenetic Studies (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Aging (60 citations), Molecular Biology (961 citations), Genetics (124 citations), Cell Biology (161 citations) and Hematology (95 citations). Kenneth Day has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Zipora Yablonka‐Reuveni, Gabi Shefer, Devin Absher, Andrew Shearer, Pudur Jagadeeswaran, R Myers, Lindsay L. Waite, Andrew B. West, Marcas M. Bamman and Anna Thalacker‐Mercer. Their work appears in journals such as Blood Cells Molecules and Diseases, Nature Communications, Developmental Biology, PLoS ONE and PLoS Genetics.
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.