Brian D. Ackley
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Aging 24
- Genetics, Aging, and Longevity in Model Organisms 24
- Co-authors
- Yishi Jin (7 shared papers)Michael McCrea (1 shared paper)Christopher Randolph (1 shared paper)James P. Kelly (1 shared paper)James M. Kramer (3 shared papers)Brock Grill (2 shared papers)Jennifer R. Crew (2 shared papers)Michael L. Nonet (2 shared papers)
- Journals
- Genetics (3 papers)Journal of Neuroscience (3 papers)The Journal of Cell Biology (3 papers)Development (3 papers)Developmental Biology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Brian D. Ackley
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Aging 474
- Immunology and Allergy 160
- Cell Biology 448
- Endocrine and Autonomic Systems 151
- Cellular and Molecular Neuroscience 411
Countries citing papers authored by Brian D. Ackley
This map shows the geographic impact of Brian D. Ackley'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 Brian D. Ackley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Ackley more than expected).
Fields of papers citing papers by Brian D. Ackley
This network shows the impact of papers produced by Brian D. Ackley. 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 Brian D. Ackley. The network helps show where Brian D. Ackley may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Ackley, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 262 | |
| 2 | 2006 | 170 | |
| 3 | 2001 | 149 | |
| 4 | 2006 | 130 | |
| 5 | 2000 | 125 | |
| 6 | 2007 | 111 | |
| 7 | 2001 | 93 | |
| 8 | 2005 | 91 | |
| 9 | 2003 | 82 | |
| 10 | 2010 | 77 | |
| 11 | 2012 | 69 | |
| 12 | 2012 | 39 | |
| 13 | 2013 | 32 | |
| 14 | 2004 | 29 | |
| 15 | 2013 | 27 | |
| 16 | 2012 | 26 | |
| 17 | 2013 | 21 | |
| 18 | 2024 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 2015 | 15 |
About Brian D. Ackley
Brian D. Ackley is a scholar working on Aging, Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cell Biology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Circadian rhythm and melatonin (8 papers), Alzheimer's disease research and treatments (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Neurobiology and Insect Physiology Research (4 papers), Algal biology and biofuel production (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Aging (474 citations), Immunology and Allergy (160 citations), Cell Biology (448 citations), Endocrine and Autonomic Systems (151 citations) and Cellular and Molecular Neuroscience (411 citations). Brian D. Ackley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yishi Jin, Michael McCrea, Christopher Randolph, James P. Kelly, James M. Kramer, Brock Grill, Jennifer R. Crew, Michael L. Nonet, Calvin J. Kuo and Elvis Huarcaya Najarro. Their work appears in journals such as Genetics, Journal of Neuroscience, The Journal of Cell Biology, Development 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.