Kyle A. LaBella
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 2
- Signaling Pathways in Disease 1
- Protein Degradation and Inhibitors 1
- Genetics 3
- Co-authors
- Ronald A. DePinho (7 shared papers)Deepavali Chakravarti (3 shared papers)Wolfram Goessling (4 shared papers)Arkadi Shwartz (3 shared papers)Denise J. Spring (5 shared papers)Paul J. Wrighton (2 shared papers)Chang‐Jiun Wu (3 shared papers)Yariv Houvras (2 shared papers)
- Journals
- Cancer Discovery (3 papers)Genes & Development (1 paper)Journal of Cell Science (1 paper)Developmental Cell (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Kyle A. LaBella
11 papers receiving 690 citations
Kyle A. LaBella's Hit Papers
Peers
Comparison fields: 5 of 92
- Aging 95
- Physiology 224
- Biological Psychiatry 15
- Cancer Research 87
- Geriatrics and Gerontology 19
Countries citing papers authored by Kyle A. LaBella
This map shows the geographic impact of Kyle A. LaBella'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 Kyle A. LaBella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle A. LaBella more than expected).
Fields of papers citing papers by Kyle A. LaBella
This network shows the impact of papers produced by Kyle A. LaBella. 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 Kyle A. LaBella. The network helps show where Kyle A. LaBella may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle A. LaBella, 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 | Telomeres: history, health, and hallmarks of aging Hit paper breakdown → | 2021 | 390 |
| 2 | 2019 | 82 | |
| 3 | 2023 | 58 | |
| 4 | 2022 | 39 | |
| 5 | 2021 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2023 | 15 | |
| 8 | 2020 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 6 |
About Kyle A. LaBella
Kyle A. LaBella is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Oncology and Obstetrics and Gynecology, having authored 11 papers that have together received 694 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Birth, Development, and Health (2 papers), Ubiquitin and proteasome pathways (2 papers), Immune cells in cancer (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genetics, Aging, and Longevity in Model Organisms (1 paper), Signaling Pathways in Disease (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Aging (95 citations), Physiology (224 citations), Biological Psychiatry (15 citations), Cancer Research (87 citations) and Geriatrics and Gerontology (19 citations). Kyle A. LaBella has collaborated with scholars based in United States and Australia. Frequent co-authors include Ronald A. DePinho, Deepavali Chakravarti, Wolfram Goessling, Arkadi Shwartz, Denise J. Spring, Paul J. Wrighton, Chang‐Jiun Wu, Yariv Houvras, Rumi Lee and Peiwen Chen. Their work appears in journals such as Cancer Discovery, Genes & Development, Journal of Cell Science, Developmental Cell and Journal of Clinical Investigation.
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.