Peter Ueda
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- Diabetes Treatment and Management 15
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- Birth, Development, and Health 7
- Modeling and Simulation top 5%
- Obstetrics and Gynecology top 5%
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- Acute Myocardial Infarction Research 7
- Antiplatelet Therapy and Cardiovascular Diseases 6
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- Lipoproteins and Cardiovascular Health 10
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- Metabolism, Diabetes, and Cancer 8
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- Obesity, Physical Activity, Diet 6
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- Health Systems, Economic Evaluations, Quality of Life 5
- Co-authors
- Haruka SakamotoMasahiro IshikaneBjörn PasternakHenrik SvanströmBjörn EliassonCyrus GhaznaviChristian JonassonMads Melbye
- Cited by
- Endocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child HealthModeling and Simulation
- Partner nations
- SwedenUnited StatesJapan
In The Last Decade
Peter Ueda
74 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Endocrinology, Diabetes and Metabolism 754
- Pediatrics, Perinatology and Child Health 371
- Modeling and Simulation 84
- Obstetrics and Gynecology 134
- Cardiology and Cardiovascular Medicine 371
Countries citing papers authored by Peter Ueda
This map shows the geographic impact of Peter Ueda'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 Peter Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ueda more than expected).
Fields of papers citing papers by Peter Ueda
This network shows the impact of papers produced by Peter Ueda. 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 Peter Ueda. The network helps show where Peter Ueda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Ueda, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 109 | |
| 14 | 2020 | 72 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 46 | |
| 17 | 2019 | 77 | |
| 18 | 2018 | 21 | |
| 19 | 2016 | 147 | |
| 20 | 2014 | 84 |
About Peter Ueda
Peter Ueda is a scholar working on Endocrinology, Diabetes and Metabolism, Gender Studies, Cardiology and Cardiovascular Medicine, Health and Demography, having authored 78 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Lipoproteins and Cardiovascular Health (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Acute Myocardial Infarction Research (7 papers), Birth, Development, and Health (7 papers), Obesity, Physical Activity, Diet (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (754 citations), Pediatrics, Perinatology and Child Health (371 citations), Modeling and Simulation (84 citations), Obstetrics and Gynecology (134 citations) and Cardiology and Cardiovascular Medicine (371 citations). Peter Ueda has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Haruka Sakamoto, Masahiro Ishikane, Björn Pasternak, Henrik Svanström, Björn Eliasson, Cyrus Ghaznavi, Christian Jonasson, Mads Melbye, Soffia Guðbjörnsdóttir and Kristian Hveem. Their work appears in journals such as PLoS ONE, BMJ, European Heart Journal, BMJ Open and European Journal of Epidemiology.
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.