David M. Keller
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Developmental Neuroscience top 5%
-
- Cardiovascular and exercise physiology 12
- Biotechnology top 5%
- Cancer Research and Treatments 3
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 5
-
- Heart Rate Variability and Autonomic Control 12
-
- Cancer-related Molecular Pathways 7
-
- Sports Performance and Training 3
-
- Thermoregulation and physiological responses 3
- Co-authors
- Richard H. GoodmanSoren ImpeyHua LuOlga VarlamovaMatthew KleinNgan VoTadashi YamamotoPaul J. Fadel
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
David M. Keller
34 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 644
- Developmental Neuroscience 110
- Complementary and alternative medicine 207
- Biotechnology 163
- Molecular Biology 1.3k
Countries citing papers authored by David M. Keller
This map shows the geographic impact of David M. Keller'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 David M. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Keller more than expected).
Fields of papers citing papers by David M. Keller
This network shows the impact of papers produced by David M. Keller. 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 David M. Keller. The network helps show where David M. Keller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Keller, 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 | 2020 | 5 | |
| 2 | 2020 | 22 | |
| 3 | 2013 | 6 | |
| 4 | 2012 | 28 | |
| 5 | 2009 | 19 | |
| 6 | 2007 | 87 | |
| 7 | 2007 | 5 | |
| 8 | A cAMP-response element binding protein-induced microRNA regulates neuronal morphogenesisbreakdown → | 2005 | 685 |
| 9 | 2004 | 43 | |
| 10 | 2004 | 24 | |
| 11 | 2003 | 3 | |
| 12 | 2003 | 95 | |
| 13 | 2003 | 18 | |
| 14 | 2002 | 105 | |
| 15 | 1999 | 289 | |
| 16 | 1999 | 72 | |
| 17 | 1994 | 8 | |
| 18 | 1991 | 39 | |
| 19 | G-6-PD Deficiency | 1971 | 21 |
| 20 | 1968 | 15 |
About David M. Keller
David M. Keller is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Orthopedics and Sports Medicine, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (12 papers), Heart Rate Variability and Autonomic Control (12 papers), Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (5 papers), Cancer Research and Treatments (3 papers), Sports Performance and Training (3 papers), Thermoregulation and physiological responses (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (644 citations), Developmental Neuroscience (110 citations) and Complementary and alternative medicine (207 citations). David M. Keller has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Richard H. Goodman, Soren Impey, Hua Lu, Olga Varlamova, Matthew Klein, Ngan Vo, Tadashi Yamamoto, Paul J. Fadel, Xiaoya Zeng and Shigehiko Ogoh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.