Daniel N. Cox
Impact in
- Aging top 2%
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- ATP Synthase and ATPases Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Neurobiology and Insect Physiology Research 30
- Co-authors
- Haifan Lin (5 shared papers)Anna Chao (2 shared papers)Dan Qiao (1 shared paper)Lisa Chang (1 shared paper)Nathaniel J. Himmel (11 shared papers)Yuh Nung Jan (4 shared papers)Akos Szakmary (2 shared papers)Eswar Prasad R. Iyer (14 shared papers)
- Journals
- PLoS ONE (5 papers)Current Biology (4 papers)iScience (4 papers)Journal of Visualized Experiments (4 papers)Development (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel N. Cox
67 papers receiving 3.4k citations
Daniel N. Cox's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 163
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 587
- Sensory Systems 147
- Plant Science 1.1k
Countries citing papers authored by Daniel N. Cox
This map shows the geographic impact of Daniel N. Cox'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 Daniel N. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Cox more than expected).
Fields of papers citing papers by Daniel N. Cox
This network shows the impact of papers produced by Daniel N. Cox. 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 Daniel N. Cox. The network helps show where Daniel N. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel N. Cox, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel class of evolutionarily conserved genes defined by piwi are essential for stem cell self-renewal Hit paper breakdown → | 1998 | 829 |
| 2 | 2000 | 473 | |
| 3 | 2006 | 219 | |
| 4 | 2001 | 135 | |
| 5 | 2005 | 133 | |
| 6 | 2001 | 126 | |
| 7 | 2020 | 114 | |
| 8 | 1983 | 112 | |
| 9 | 1983 | 101 | |
| 10 | 2016 | 84 | |
| 11 | 2001 | 78 | |
| 12 | 1994 | 68 | |
| 13 | 2010 | 63 | |
| 14 | 2020 | 50 | |
| 15 | 2013 | 49 | |
| 16 | 2003 | 47 | |
| 17 | 2012 | 40 | |
| 18 | 2004 | 40 | |
| 19 | 1994 | 37 | |
| 20 | 2013 | 36 |
About Daniel N. Cox
Daniel N. Cox is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Plant Science and Biophysics, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (30 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Plant Molecular Biology Research (6 papers), Cellular Mechanics and Interactions (6 papers), Cell Image Analysis Techniques (6 papers), Circadian rhythm and melatonin (6 papers), Ion Channels and Receptors (5 papers) and Physiological and biochemical adaptations (5 papers). The work is most often cited by research in Aging (163 citations), Molecular Biology (2.3k citations), Cellular and Molecular Neuroscience (587 citations), Sensory Systems (147 citations) and Plant Science (1.1k citations). Daniel N. Cox has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Haifan Lin, Anna Chao, Dan Qiao, Lisa Chang, Nathaniel J. Himmel, Yuh Nung Jan, Akos Szakmary, Eswar Prasad R. Iyer, A.E. Senior and C. Ryan Campbell. Their work appears in journals such as PLoS ONE, Current Biology, iScience, Journal of Visualized Experiments and Development.
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.