Ionut Bebu
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
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- Diabetes Management and Research 21
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- Statistical Methods in Clinical Trials 14
- Statistical Methods and Inference 7
- Advanced Causal Inference Techniques 7
- Co-authors
- John M. Lachin (48 shared papers)Rodica Pop‐Busui (12 shared papers)Barbara H. Braffett (27 shared papers)David M. Nathan (8 shared papers)Bernard Zinman (8 shared papers)Thomas Mathew (11 shared papers)Trevor J. Orchard (9 shared papers)Xiaoyu Gao (16 shared papers)
- Journals
- Diabetes Care (23 papers)PLoS ONE (5 papers)Statistics in Medicine (4 papers)Diabetes (4 papers)Biometrical Journal (4 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Ionut Bebu
82 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 609
- Nephrology 125
- Statistics and Probability 146
- Ophthalmology 135
- Cardiology and Cardiovascular Medicine 169
Countries citing papers authored by Ionut Bebu
This map shows the geographic impact of Ionut Bebu'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 Ionut Bebu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ionut Bebu more than expected).
Fields of papers citing papers by Ionut Bebu
This network shows the impact of papers produced by Ionut Bebu. 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 Ionut Bebu. The network helps show where Ionut Bebu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ionut Bebu, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2019 | 138 | |
| 3 | 2019 | 90 | |
| 4 | 2022 | 87 | |
| 5 | 2015 | 81 | |
| 6 | 2021 | 79 | |
| 7 | 2016 | 76 | |
| 8 | 2020 | 63 | |
| 9 | 2017 | 57 | |
| 10 | 2019 | 55 | |
| 11 | 2014 | 48 | |
| 12 | 2016 | 45 | |
| 13 | 2019 | 38 | |
| 14 | 2022 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2019 | 34 | |
| 17 | 2021 | 33 | |
| 18 | 2007 | 32 | |
| 19 | 2016 | 31 | |
| 20 | 2013 | 29 |
About Ionut Bebu
Ionut Bebu is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Nephrology, Genetics and Economics and Econometrics, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes Management and Research (21 papers), Statistical Methods in Clinical Trials (14 papers), Chronic Kidney Disease and Diabetes (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Statistical Methods and Inference (7 papers), Advanced Causal Inference Techniques (7 papers), Retinal Diseases and Treatments (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (609 citations), Nephrology (125 citations), Statistics and Probability (146 citations), Ophthalmology (135 citations) and Cardiology and Cardiovascular Medicine (169 citations). Ionut Bebu has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include John M. Lachin, Rodica Pop‐Busui, Barbara H. Braffett, David M. Nathan, Bernard Zinman, Thomas Mathew, Trevor J. Orchard, Xiaoyu Gao, Rose Gubitosi‐Klug and Gayle M. Lorenzi. Their work appears in journals such as Diabetes Care, PLoS ONE, Statistics in Medicine, Diabetes and Biometrical Journal.
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.