Laila Lima
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Cardiovascular and exercise physiology
Papers in
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- Heart Rate Variability and Autonomic Control 3
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- Cardiovascular and exercise physiology 5
- Co-authors
- Carmen Sílvia Grubert Campbell (7 shared papers)Herbert Gustavo Simões (7 shared papers)Gisela Arsa (6 shared papers)Stephen M. Roth (3 shared papers)Andrew T. Ludlow (3 shared papers)Lisa M. Guth (3 shared papers)Espen E. Spangenburg (3 shared papers)Sérgio Rodrigues Moreira (4 shared papers)
- Journals
- The Journal of Strength and Conditioning Research (2 papers)Diabetes & Metabolism (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)Vaccine (1 paper)The Journal of Rheumatology (1 paper)
- Partner nations
- BrazilUnited States
In The Last Decade
Laila Lima
16 papers receiving 313 citations
Peers
Comparison fields: 5 of 70
- Aging 44
- Complementary and alternative medicine 129
- Orthopedics and Sports Medicine 53
- Physiology 121
- Cardiology and Cardiovascular Medicine 103
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 | 63 | |
| 2 | 2009 | 57 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 34 | |
| 5 | 2010 | 25 | |
| 6 | 2012 | 21 | |
| 7 | 2011 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2013 | 12 | |
| 11 | 2009 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 2 | |
| 16 | 2016 | 2 |
About Laila Lima
Laila Lima is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Cell Biology, Physiology and Epidemiology, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (5 papers), Muscle metabolism and nutrition (4 papers), Adipose Tissue and Metabolism (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Sports Performance and Training (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Health and Lifestyle Studies (1 paper). The work is most often cited by research in Aging (44 citations), Complementary and alternative medicine (129 citations), Orthopedics and Sports Medicine (53 citations), Physiology (121 citations) and Cardiology and Cardiovascular Medicine (103 citations). Laila Lima has collaborated with scholars based in Brazil and United States. Frequent co-authors include Carmen Sílvia Grubert Campbell, Herbert Gustavo Simões, Gisela Arsa, Stephen M. Roth, Andrew T. Ludlow, Lisa M. Guth, Espen E. Spangenburg, Sérgio Rodrigues Moreira, Sarah Witkowski and Mallory R. Marshall. Their work appears in journals such as The Journal of Strength and Conditioning Research, Diabetes & Metabolism, Journal of Pediatric Hematology/Oncology, Vaccine and The Journal of Rheumatology.
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.