Lindsay E. Wu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Epidemiology 15
- Autophagy in Disease and Therapy 5
- Liver Disease Diagnosis and Treatment 4
- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- David Sinclair (11 shared papers)Nigel Turner (7 shared papers)David E. James (8 shared papers)Kyle L. Hoehn (4 shared papers)Gregory J. Cooney (3 shared papers)Victoria C. Cogger (3 shared papers)David G. Le Couteur (3 shared papers)Alessandra Warren (2 shared papers)
- Journals
- Cell Metabolism (3 papers)Diabetes (2 papers)Reproduction (2 papers)Molecular Metabolism (2 papers)Scientific Reports (2 papers)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Lindsay E. Wu
38 papers receiving 2.3k citations
Lindsay E. Wu's Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 265
- Geriatrics and Gerontology 281
- Physiology 728
- Physiology 115
- Endocrine and Autonomic Systems 131
Countries citing papers authored by Lindsay E. Wu
This map shows the geographic impact of Lindsay E. Wu'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 Lindsay E. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindsay E. Wu more than expected).
Fields of papers citing papers by Lindsay E. Wu
This network shows the impact of papers produced by Lindsay E. Wu. 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 Lindsay E. Wu. The network helps show where Lindsay E. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lindsay E. Wu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Ratio of Macronutrients, Not Caloric Intake, Dictates Cardiometabolic Health, Aging, and Longevity in Ad Libitum-Fed Mice Hit paper breakdown → | 2014 | 708 |
| 2 | 2008 | 251 | |
| 3 | 2014 | 196 | |
| 4 | 2009 | 154 | |
| 5 | 2012 | 131 | |
| 6 | 2010 | 87 | |
| 7 | 2014 | 87 | |
| 8 | 2017 | 75 | |
| 9 | 2016 | 72 | |
| 10 | 2010 | 68 | |
| 11 | 2016 | 59 | |
| 12 | 2017 | 57 | |
| 13 | 2018 | 52 | |
| 14 | 2014 | 50 | |
| 15 | 2015 | 49 | |
| 16 | 2014 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2015 | 22 | |
| 19 | 2022 | 19 | |
| 20 | 2022 | 17 |
About Lindsay E. Wu
Lindsay E. Wu is a scholar working on Molecular Biology, Epidemiology, Geriatrics and Gerontology, Physiology and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (12 papers), Adipose Tissue and Metabolism (9 papers), Reproductive Biology and Fertility (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Autophagy in Disease and Therapy (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Aging (265 citations), Geriatrics and Gerontology (281 citations), Physiology (728 citations), Physiology (115 citations) and Endocrine and Autonomic Systems (131 citations). Lindsay E. Wu has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include David Sinclair, Nigel Turner, David E. James, Kyle L. Hoehn, Gregory J. Cooney, Victoria C. Cogger, David G. Le Couteur, Alessandra Warren, Stephen J. Simpson and Samantha M. Solon‐Biet. Their work appears in journals such as Cell Metabolism, Diabetes, Reproduction, Molecular Metabolism and Scientific Reports.
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.