Heidi A. Tissenbaum
- Aging top 0.01%
- Molecular Biology top 1%
- Physiology top 0.5%
- Endocrine and Autonomic Systems top 0.1%
- Geriatrics and Gerontology top 0.1%
- Co-authors
- Gary RuvkunLeonard GuarenteYanxia LiuKoutarou D. KimuraArnab MukhopadhyayJason Z MorrisSuzanne ParadisGarth I. Patterson
- Topics
- Genetics, Aging, and Longevity in Model Organisms (41 papers)Circadian rhythm and melatonin (13 papers)FOXO transcription factor regulation (10 papers)
- 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
- Molecular Biology 4.8k
- Physiology 2.9k
- Endocrine and Autonomic Systems 2.3k
- Geriatrics and Gerontology 1.2k
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 of co-authors of Heidi A. Tissenbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Heidi A. Tissenbaum. A scholar is included among the top collaborators of Heidi A. Tissenbaum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heidi A. Tissenbaum. Heidi A. Tissenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 23 | |
| 3 | 76 | |
| 4 | 25 | |
| 5 | 254 | |
| 6 | 43 | |
| 7 | 66 | |
| 8 | 156 | |
| 9 | 140 | |
| 10 | 117 | |
| 11 | 1 | |
| 12 | 298 | |
| 13 | 217 | |
| 14 | 189 | |
| 15 | 445 | |
| 16 | 97 | |
| 17 | 23 | |
| 18 | 301 | |
| 19 | 287 | |
| 20 | The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegansbreakdown → | 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) and FOXO transcription factor regulation (10 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.