Daniel Ackerman
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
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- Cancer, Hypoxia, and Metabolism 6
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Marie Celeste Simon (4 shared papers)David Gems (6 shared papers)Bo Qiu (3 shared papers)Bo Li (2 shared papers)Joshua D. Ochocki (2 shared papers)Brian Keith (2 shared papers)Alison Grazioli (1 shared paper)Danielle J. Sanchez (1 shared paper)
- Journals
- Scientific Reports (2 papers)Hepatology (2 papers)BioEssays (1 paper)Mechanisms of Ageing and Development (1 paper)Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Daniel Ackerman
20 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 94
- Aging 438
- Geriatrics and Gerontology 239
- Cancer Research 626
- Biochemistry 120
- Molecular Biology 381
Countries citing papers authored by Daniel Ackerman
This map shows the geographic impact of Daniel Ackerman'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 Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ackerman more than expected).
Fields of papers citing papers by Daniel Ackerman
This network shows the impact of papers produced by Daniel Ackerman. 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 Ackerman. The network helps show where Daniel Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ackerman, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 528 | |
| 2 | 2014 | 403 | |
| 3 | 2015 | 329 | |
| 4 | 2018 | 247 | |
| 5 | 2011 | 123 | |
| 6 | 2018 | 96 | |
| 7 | 2008 | 66 | |
| 8 | 2018 | 59 | |
| 9 | 2012 | 57 | |
| 10 | 2012 | 52 | |
| 11 | 2012 | 50 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 22 | |
| 14 | 2019 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 2 | |
| 19 | Prospects & Overviews The mystery of C. elegans aging: An emerging role for fat Distant parallels between C. elegans aging and metabolic syndrome? | 2012 | 1 |
| 20 | 2018 | 1 |
About Daniel Ackerman
Daniel Ackerman is a scholar working on Aging, Cancer Research, Hepatology, Biotechnology and Hematology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Microbial Inactivation Methods (2 papers), Advanced NMR Techniques and Applications (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Aging (438 citations), Geriatrics and Gerontology (239 citations), Cancer Research (626 citations), Biochemistry (120 citations) and Molecular Biology (381 citations). Daniel Ackerman has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Marie Celeste Simon, David Gems, Bo Qiu, Bo Li, Joshua D. Ochocki, Brian Keith, Alison Grazioli, Danielle J. Sanchez, Ekaterina V. Bobrovnikova-Marjon and John Alan Diehl. Their work appears in journals such as Scientific Reports, Hepatology, BioEssays, Mechanisms of Ageing and Development and 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.