Tamara Pulpitel
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Dietary Effects on Health
Papers in
- Physiology 11
- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 5
- Dietary Effects on Health 3
- Co-authors
- Stephen J. Simpson (19 shared papers)Victoria C. Cogger (9 shared papers)Samantha M. Solon‐Biet (11 shared papers)David G. Le Couteur (11 shared papers)David Raubenheimer (10 shared papers)Jibran A. Wali (8 shared papers)Devin Wahl (6 shared papers)Alistair M. Senior (12 shared papers)
- Journals
- Nature Communications (3 papers)Cell Reports (3 papers)PLoS ONE (2 papers)Cell Metabolism (2 papers)The FASEB Journal (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Tamara Pulpitel
24 papers receiving 687 citations
Peers
Comparison fields: 5 of 95
- Aging 66
- Physiology 257
- Biological Psychiatry 20
- Endocrine and Autonomic Systems 48
- Geriatrics and Gerontology 20
Countries citing papers authored by Tamara Pulpitel
This map shows the geographic impact of Tamara Pulpitel'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 Tamara Pulpitel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Pulpitel more than expected).
Fields of papers citing papers by Tamara Pulpitel
This network shows the impact of papers produced by Tamara Pulpitel. 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 Tamara Pulpitel. The network helps show where Tamara Pulpitel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Pulpitel, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2018 | 102 | |
| 3 | 2016 | 75 | |
| 4 | 2019 | 56 | |
| 5 | 2021 | 48 | |
| 6 | 2014 | 40 | |
| 7 | 2019 | 34 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 23 | |
| 10 | 2019 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2024 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2015 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 3 |
About Tamara Pulpitel
Tamara Pulpitel is a scholar working on Physiology, Molecular Biology, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 694 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Diet and metabolism studies (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Nutritional Studies and Diet (3 papers), Dietary Effects on Health (3 papers), Pancreatic function and diabetes (3 papers), Insect Utilization and Effects (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (66 citations), Physiology (257 citations), Biological Psychiatry (20 citations), Endocrine and Autonomic Systems (48 citations) and Geriatrics and Gerontology (20 citations). Tamara Pulpitel has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Stephen J. Simpson, Victoria C. Cogger, Samantha M. Solon‐Biet, David G. Le Couteur, David Raubenheimer, Jibran A. Wali, Devin Wahl, Alistair M. Senior, Fleur Ponton and Rahul Gokarn. Their work appears in journals such as Nature Communications, Cell Reports, PLoS ONE, Cell Metabolism and The FASEB Journal.
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.