Kien Ly
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 3
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- Receptor Mechanisms and Signaling 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Russell G. Snell (5 shared papers)Suzanne J. Reid (2 shared papers)Thomas P. Sculco (1 shared paper)Tapas K. Sengupta (1 shared paper)P. Edward Purdue (1 shared paper)Lionel B. Ivashkiv (1 shared paper)B. J. Nestor (1 shared paper)David R. Poyner (2 shared papers)
- Journals
- Scientific Reports (3 papers)Science Signaling (1 paper)Protein Expression and Purification (1 paper)ACS Chemical Biology (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Kien Ly
12 papers receiving 258 citations
Peers
Comparison fields: 5 of 71
- Aging 46
- Cellular and Molecular Neuroscience 44
- Endocrine and Autonomic Systems 13
- Physiology 44
- Molecular Biology 102
Countries citing papers authored by Kien Ly
This map shows the geographic impact of Kien Ly'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 Kien Ly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kien Ly more than expected).
Fields of papers citing papers by Kien Ly
This network shows the impact of papers produced by Kien Ly. 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 Kien Ly. The network helps show where Kien Ly may publish in the future.
Co-authors
The 25 scholars most cited alongside Kien Ly, 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 | 2006 | 66 | |
| 2 | 2015 | 57 | |
| 3 | 2019 | 38 | |
| 4 | 2013 | 31 | |
| 5 | 2017 | 19 | |
| 6 | 2011 | 19 | |
| 7 | 2021 | 10 | |
| 8 | 2016 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2014 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2012 | 0 |
About Kien Ly
Kien Ly is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology and Nutrition and Dietetics, having authored 14 papers that have together received 259 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), Birth, Development, and Health (3 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Folate and B Vitamins Research (1 paper), Obesity, Physical Activity, Diet (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Mercury impact and mitigation studies (1 paper). The work is most often cited by research in Aging (46 citations), Cellular and Molecular Neuroscience (44 citations), Endocrine and Autonomic Systems (13 citations), Physiology (44 citations) and Molecular Biology (102 citations). Kien Ly has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Russell G. Snell, Suzanne J. Reid, Thomas P. Sculco, Tapas K. Sengupta, P. Edward Purdue, Lionel B. Ivashkiv, B. J. Nestor, David R. Poyner, Debbie L. Hay and Caroline Walker. Their work appears in journals such as Scientific Reports, Science Signaling, Protein Expression and Purification, ACS Chemical Biology and Disease Models & Mechanisms.
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.