Laila Lima
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Cardiovascular and exercise physiology
Papers in
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- Adipose Tissue and Metabolism 3
- Telomeres, Telomerase, and Senescence 2
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- Cardiovascular and exercise physiology 4
- Co-authors
- Herbert Gustavo Simões (7 shared papers)Carmen Sílvia Grubert Campbell (7 shared papers)Gisela Arsa (6 shared papers)Espen E. Spangenburg (3 shared papers)Stephen M. Roth (3 shared papers)Lisa M. Guth (3 shared papers)Andrew T. Ludlow (3 shared papers)Sérgio Rodrigues Moreira (4 shared papers)
- Journals
- The Journal of Strength and Conditioning Research (2 papers)Clinical Rheumatology (1 paper)Pediatric Nephrology (1 paper)The Journal of Rheumatology (1 paper)Journal of Applied Physiology (1 paper)
- Partner nations
- BrazilUnited StatesRussia
In The Last Decade
Laila Lima
17 papers receiving 324 citations
Peers
Comparison fields: 5 of 68
- Aging 37
- Complementary and alternative medicine 114
- Orthopedics and Sports Medicine 45
- Physiology 116
- Cardiology and Cardiovascular Medicine 83
Countries citing papers authored by Laila Lima
This map shows the geographic impact of Laila Lima'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 Laila Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laila Lima more than expected).
Fields of papers citing papers by Laila Lima
This network shows the impact of papers produced by Laila Lima. 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 Laila Lima. The network helps show where Laila Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside Laila Lima, 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 | 2012 | 65 | |
| 2 | 2009 | 57 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 33 | |
| 5 | 2010 | 25 | |
| 6 | 2012 | 21 | |
| 7 | 2011 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2013 | 12 | |
| 11 | 2019 | 9 | |
| 12 | 2009 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2011 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2022 | 0 |
About Laila Lima
Laila Lima is a scholar working on Physiology, Complementary and alternative medicine, Epidemiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (4 papers), Muscle metabolism and nutrition (3 papers), Adipose Tissue and Metabolism (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Sports Performance and Training (2 papers), Obesity, Physical Activity, Diet (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Aging (37 citations), Complementary and alternative medicine (114 citations), Orthopedics and Sports Medicine (45 citations), Physiology (116 citations) and Cardiology and Cardiovascular Medicine (83 citations). Laila Lima has collaborated with scholars based in Brazil, United States and Russia. Frequent co-authors include Herbert Gustavo Simões, Carmen Sílvia Grubert Campbell, Gisela Arsa, Espen E. Spangenburg, Stephen M. Roth, Lisa M. Guth, Andrew T. Ludlow, Sérgio Rodrigues Moreira, Mallory R. Marshall and Sarah Witkowski. Their work appears in journals such as The Journal of Strength and Conditioning Research, Clinical Rheumatology, Pediatric Nephrology, The Journal of Rheumatology and Journal of Applied Physiology.
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.