James L. Kirkland
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms 52
- Physiology top 0.01%
- Telomeres, Telomerase, and Senescence 112
- Adipose Tissue and Metabolism 62
- Geriatrics and Gerontology top 0.1%
- Frailty in Older Adults 21
- Endocrine and Autonomic Systems top 0.2%
- Circadian rhythm and melatonin 16
- Immunology top 0.2%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 26
-
- Adipokines, Inflammation, and Metabolic Diseases 59
-
- Fatty Acid Research and Health 20
- Co-authors
- Tamar TchkoniaNathan K. LeBrasseurYi ZhuJan M. van DeursenDarren J. BakerBennett G. ChildsTamar PirtskhalavaAllyson K. Palmer
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
James L. Kirkland
283 papers receiving 32.6k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Aging 4.0k
- Physiology 18.1k
- Geriatrics and Gerontology 1.7k
- Endocrine and Autonomic Systems 1.9k
- Immunology 5.4k
Countries citing papers authored by James L. Kirkland
This map shows the geographic impact of James L. Kirkland'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 James L. Kirkland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. Kirkland more than expected).
Fields of papers citing papers by James L. Kirkland
This network shows the impact of papers produced by James L. Kirkland. 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 James L. Kirkland. The network helps show where James L. Kirkland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James L. Kirkland, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 36 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 68 | |
| 13 | The flavonoid procyanidin C1 has senotherapeutic activity and increases lifespan in micebreakdown → | 2021 | 217 |
| 14 | Senolytic Combination of Dasatinib and Quercetin Alleviates Intestinal Senescence and Inflammation and Modulates the Gut Microbiome in Aged Micebreakdown → | 2021 | 180 |
| 15 | 2021 | 96 | |
| 16 | 2019 | 236 | |
| 17 | Senolytics in idiopathic pulmonary fibrosis: Results from a first-in-human, open-label, pilot studybreakdown → | 2019 | 837 |
| 18 | 2018 | 17 | |
| 19 | Sarcopenia: Aging-Related Loss of Muscle Mass and Functionbreakdown → | 2018 | 1086 |
| 20 | 2010 | 301 |
About James L. Kirkland
James L. Kirkland is a scholar working on Aging, Physiology and Geriatrics and Gerontology, having authored 292 papers that have together received 33.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (112 papers), Adipose Tissue and Metabolism (62 papers), Adipokines, Inflammation, and Metabolic Diseases (59 papers), Genetics, Aging, and Longevity in Model Organisms (52 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (26 papers), Frailty in Older Adults (21 papers), Fatty Acid Research and Health (20 papers) and Circadian rhythm and melatonin (16 papers). The work is most often cited by research in Aging (4.0k citations), Physiology (18.1k citations) and Geriatrics and Gerontology (1.7k citations). James L. Kirkland has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tamar Tchkonia, Nathan K. LeBrasseur, Yi Zhu, Jan M. van Deursen, Darren J. Baker, Bennett G. Childs, Tamar Pirtskhalava, Allyson K. Palmer, Judith Campisi and Sundeep Khosla. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.
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.