Ilona Larson
Impact in
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 4
-
- Genomics, phytochemicals, and oxidative stress 1
- Co-authors
- Mario Kratz (5 shared papers)Derek Hagman (5 shared papers)Jessica N. Kuzma (4 shared papers)Matthew Crouthamel (2 shared papers)Robert Landerholm (2 shared papers)Peter Billing (2 shared papers)Lev Becker (2 shared papers)Eduard Peris (1 shared paper)
- Journals
- Atherosclerosis (2 papers)Nutrients (1 paper)Journal of Personalized Medicine (1 paper)Clinical Chemistry (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Ilona Larson
12 papers receiving 987 citations
Ilona Larson's Hit Papers
Peers
Comparison fields: 5 of 76
- Epidemiology 437
- Physiology 331
- Immunology 276
- Biochemistry 59
- Endocrine and Autonomic Systems 35
Countries citing papers authored by Ilona Larson
This map shows the geographic impact of Ilona Larson'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 Ilona Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilona Larson more than expected).
Fields of papers citing papers by Ilona Larson
This network shows the impact of papers produced by Ilona Larson. 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 Ilona Larson. The network helps show where Ilona Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilona Larson, 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 | Metabolic Dysfunction Drives a Mechanistically Distinct Proinflammatory Phenotype in Adipose Tissue Macrophages Hit paper breakdown → | 2014 | 637 |
| 2 | 2004 | 63 | |
| 3 | 2000 | 59 | |
| 4 | 2017 | 57 | |
| 5 | 2014 | 50 | |
| 6 | 2012 | 25 | |
| 7 | 1999 | 24 | |
| 8 | 2000 | 24 | |
| 9 | 2022 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 8 |
About Ilona Larson
Ilona Larson is a scholar working on Epidemiology, Molecular Biology, Surgery, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 995 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nutrition, Genetics, and Disease (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Immune cells in cancer (2 papers), Adipose Tissue and Metabolism (1 paper), Obesity, Physical Activity, Diet (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Epidemiology (437 citations), Physiology (331 citations), Immunology (276 citations), Biochemistry (59 citations) and Endocrine and Autonomic Systems (35 citations). Ilona Larson has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Mario Kratz, Derek Hagman, Jessica N. Kuzma, Matthew Crouthamel, Robert Landerholm, Peter Billing, Lev Becker, Eduard Peris, Katherine B. Hisert and David Gozal. Their work appears in journals such as Atherosclerosis, Nutrients, Journal of Personalized Medicine, Clinical Chemistry and Endocrinology.
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.