Daniel Ackerman
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 8
- Cancer, Lipids, and Metabolism 2
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- M. Celeste Simon (6 shared papers)David Gems (6 shared papers)Bo Qiu (4 shared papers)J. Alan Diehl (3 shared papers)Ekaterina Bobrovnikova-Marjon (3 shared papers)Bo Li (3 shared papers)Brian Keith (3 shared papers)Joshua D. Ochocki (3 shared papers)
- Journals
- Hepatology (2 papers)Clinical Cancer Research (1 paper)Cell Reports (1 paper)Genetics (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Daniel Ackerman
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Aging 239
- Cancer Research 723
- Biochemistry 244
- Endocrine and Autonomic Systems 82
- Molecular Biology 806
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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 382 | |
| 2 | 2015 | 306 | |
| 3 | 2018 | 231 | |
| 4 | 2013 | 176 | |
| 5 | 2011 | 108 | |
| 6 | 2018 | 89 | |
| 7 | 2008 | 66 | |
| 8 | 2018 | 54 | |
| 9 | 2012 | 52 | |
| 10 | 2012 | 50 | |
| 11 | 2012 | 47 | |
| 12 | 2018 | 23 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 9 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 2 | |
| 18 | 2016 | 1 | |
| 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 | 2026 | 0 |
About Daniel Ackerman
Daniel Ackerman is a scholar working on Cancer Research, Aging, Molecular Biology, Endocrine and Autonomic Systems and Physiology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (4 papers), Lipid metabolism and biosynthesis (3 papers), FOXO transcription factor regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Aging (239 citations), Cancer Research (723 citations), Biochemistry (244 citations), Endocrine and Autonomic Systems (82 citations) and Molecular Biology (806 citations). Daniel Ackerman has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include M. Celeste Simon, David Gems, Bo Qiu, J. Alan Diehl, Ekaterina Bobrovnikova-Marjon, Bo Li, Brian Keith, Joshua D. Ochocki, Alison Grazioli and Danielle J. Sanchez. Their work appears in journals such as Hepatology, Clinical Cancer Research, Cell Reports, Genetics and Cancer Discovery.
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.