Heidi A. Tissenbaum
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms 41
- Endocrine and Autonomic Systems top 0.1%
- Circadian rhythm and melatonin 13
- Geriatrics and Gerontology top 0.1%
- Sirtuins and Resveratrol in Medicine 4
- Physiology top 0.5%
- Spaceflight effects on biology 4
- Molecular Biology top 1%
- FOXO transcription factor regulation 10
- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 3
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- Birth, Development, and Health 7
- Co-authors
- Gary RuvkunLeonard GuarenteYanxia LiuKoutarou D. KimuraArnab MukhopadhyayJason Z MorrisSuzanne ParadisGarth I. Patterson
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Heidi A. Tissenbaum
46 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Aging 6.6k
- Endocrine and Autonomic Systems 2.3k
- Geriatrics and Gerontology 1.2k
- Physiology 2.9k
- Molecular Biology 4.8k
Countries citing papers authored by Heidi A. Tissenbaum
This map shows the geographic impact of Heidi A. Tissenbaum'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 Heidi A. Tissenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi A. Tissenbaum more than expected).
Fields of papers citing papers by Heidi A. Tissenbaum
This network shows the impact of papers produced by Heidi A. Tissenbaum. 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 Heidi A. Tissenbaum. The network helps show where Heidi A. Tissenbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heidi A. Tissenbaum, 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 | 2024 | 2 | |
| 2 | 2021 | 23 | |
| 3 | 2018 | 76 | |
| 4 | 2016 | 25 | |
| 5 | 2015 | 254 | |
| 6 | 2012 | 43 | |
| 7 | 2010 | 66 | |
| 8 | 2010 | 156 | |
| 9 | 2009 | 140 | |
| 10 | 2009 | 117 | |
| 11 | 2008 | 1 | |
| 12 | 2008 | 298 | |
| 13 | 2008 | 217 | |
| 14 | 2006 | 189 | |
| 15 | 2005 | 445 | |
| 16 | 2005 | 97 | |
| 17 | 2005 | 23 | |
| 18 | 2005 | 301 | |
| 19 | 1998 | 287 | |
| 20 | The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegansbreakdown → | 1997 | 1603 |
About Heidi A. Tissenbaum
Heidi A. Tissenbaum is a scholar working on Aging, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 47 papers that have together received 10.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (41 papers), Circadian rhythm and melatonin (13 papers), FOXO transcription factor regulation (10 papers), Birth, Development, and Health (7 papers), Sirtuins and Resveratrol in Medicine (4 papers), Spaceflight effects on biology (4 papers), DNA Repair Mechanisms (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Aging (6.6k citations), Endocrine and Autonomic Systems (2.3k citations) and Geriatrics and Gerontology (1.2k citations). Heidi A. Tissenbaum has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gary Ruvkun, Leonard Guarente, Yanxia Liu, Koutarou D. Kimura, Arnab Mukhopadhyay, Jason Z Morris, Suzanne Paradis, Garth I. Patterson, Linda Lee and S Gottlieb. Their work appears in journals such as Nature, Science and Cell.
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.