Daniel P. Andersson
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Physiology 32
- Adipose Tissue and Metabolism 24
- Diet and metabolism studies 6
- Epidemiology 23
- Adipokines, Inflammation, and Metabolic Diseases 19
- Co-authors
- Peter Arner (42 shared papers)Mikael Rydén (35 shared papers)Anders Thorell (19 shared papers)Jesper Bäckdahl (12 shared papers)Ingrid Dahlman (13 shared papers)Johan Hoffstedt (7 shared papers)Jurga Laurencikiene (7 shared papers)Patrik Löfgren (7 shared papers)
In The Last Decade
Daniel P. Andersson
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Physiology 1.1k
- Epidemiology 765
- Cardiology and Cardiovascular Medicine 498
- Endocrinology, Diabetes and Metabolism 298
- Biochemistry 95
Countries citing papers authored by Daniel P. Andersson
This map shows the geographic impact of Daniel P. Andersson'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 Daniel P. Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Andersson more than expected).
Fields of papers citing papers by Daniel P. Andersson
This network shows the impact of papers produced by Daniel P. Andersson. 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 Daniel P. Andersson. The network helps show where Daniel P. Andersson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Andersson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 180 | |
| 2 | 2015 | 160 | |
| 3 | 2019 | 100 | |
| 4 | 2014 | 94 | |
| 5 | 2018 | 91 | |
| 6 | 2014 | 86 | |
| 7 | 2013 | 81 | |
| 8 | 2015 | 76 | |
| 9 | 2015 | 68 | |
| 10 | 2019 | 67 | |
| 11 | 2017 | 67 | |
| 12 | 2015 | 65 | |
| 13 | 2016 | 59 | |
| 14 | 2013 | 58 | |
| 15 | 2013 | 46 | |
| 16 | 2016 | 35 | |
| 17 | 2017 | 34 | |
| 18 | 2014 | 34 | |
| 19 | 2018 | 31 | |
| 20 | 2016 | 29 |
About Daniel P. Andersson
Daniel P. Andersson is a scholar working on Physiology, Epidemiology, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (24 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Bariatric Surgery and Outcomes (15 papers), Cardiovascular Disease and Adiposity (13 papers), Body Contouring and Surgery (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diet and metabolism studies (6 papers). The work is most often cited by research in Physiology (1.1k citations), Epidemiology (765 citations), Cardiology and Cardiovascular Medicine (498 citations), Endocrinology, Diabetes and Metabolism (298 citations) and Biochemistry (95 citations). Daniel P. Andersson has collaborated with scholars based in Sweden, France and Denmark. Frequent co-authors include Peter Arner, Mikael Rydén, Anders Thorell, Jesper Bäckdahl, Ingrid Dahlman, Johan Hoffstedt, Jurga Laurencikiene, Patrik Löfgren, Erik Näslund and Mikael Wirén. Their work appears in journals such as International Journal of Obesity, Journal of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism, Diabetologia and Journal of the American College of Cardiology.
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.