Daniel A. Starr
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Nuclear Structure and Function 45
- RNA Research and Splicing 37
- Genomics and Chromatin Dynamics 17
- DNA Repair Mechanisms 10
- Cell Biology 25
- Microtubule and mitosis dynamics 19
- Cellular Mechanics and Interactions 5
- Co-authors
- Heidi N. Fridolfsson (7 shared papers)Min Han (7 shared papers)Michael L. Goldberg (6 shared papers)Tim J. Yen (3 shared papers)Byron C. Williams (2 shared papers)Janice A. Fischer (1 shared paper)G. W. Gant Luxton (12 shared papers)Thomas S. Hays (1 shared paper)
- Journals
- Molecular Biology of the Cell (7 papers)Journal of Cell Science (7 papers)The Journal of Cell Biology (6 papers)Development (4 papers)Current Opinion in Cell Biology (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel A. Starr
57 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 94
- Aging 417
- Cell Biology 2.0k
- Molecular Biology 3.9k
- Plant Science 543
- Immunology and Allergy 54
Countries citing papers authored by Daniel A. Starr
This map shows the geographic impact of Daniel A. Starr'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 A. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Starr more than expected).
Fields of papers citing papers by Daniel A. Starr
This network shows the impact of papers produced by Daniel A. Starr. 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 A. Starr. The network helps show where Daniel A. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Starr, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 462 | |
| 2 | 2002 | 341 | |
| 3 | 2001 | 253 | |
| 4 | 1998 | 227 | |
| 5 | 2002 | 187 | |
| 6 | 2005 | 185 | |
| 7 | 2000 | 180 | |
| 8 | 2011 | 172 | |
| 9 | 2009 | 171 | |
| 10 | 2012 | 162 | |
| 11 | 2001 | 157 | |
| 12 | 2002 | 144 | |
| 13 | 2005 | 136 | |
| 14 | 2010 | 131 | |
| 15 | 2006 | 125 | |
| 16 | 2009 | 117 | |
| 17 | 1997 | 100 | |
| 18 | 2000 | 100 | |
| 19 | 2011 | 97 | |
| 20 | 2014 | 96 |
About Daniel A. Starr
Daniel A. Starr is a scholar working on Molecular Biology, Cell Biology, Aging, Plant Science and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 4.6k indexed citations. Recurring topics across this work include Nuclear Structure and Function (45 papers), RNA Research and Splicing (37 papers), Microtubule and mitosis dynamics (19 papers), Genomics and Chromatin Dynamics (17 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), DNA Repair Mechanisms (10 papers), Cellular Mechanics and Interactions (5 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Aging (417 citations), Cell Biology (2.0k citations), Molecular Biology (3.9k citations), Plant Science (543 citations) and Immunology and Allergy (54 citations). Daniel A. Starr has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Heidi N. Fridolfsson, Min Han, Michael L. Goldberg, Tim J. Yen, Byron C. Williams, Janice A. Fischer, G. W. Gant Luxton, Thomas S. Hays, Natalie E. Cain and Matthew D. McGee. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, The Journal of Cell Biology, Development and Current Opinion in Cell 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.