Dayu Lv
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Genetics top 5%
- Diabetes and associated disorders
Papers in
-
- Diabetes Management and Research 11
- Surgery 6
- Pancreatic function and diabetes 6
- Co-authors
- Marc D. Breton (9 shared papers)Boris Kovatchev (6 shared papers)Claudio Cobelli (2 shared papers)Chiara Dalla Man (2 shared papers)Francesco Micheletto (1 shared paper)Enrique Campos-Náñez (2 shared papers)Michele Schiavon (1 shared paper)Martina Vettoretti (1 shared paper)
- Journals
- Journal of Diabetes Science and Technology (3 papers)Diabetes Technology & Therapeutics (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Diabetes (1 paper)Fuel (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Dayu Lv
11 papers receiving 880 citations
Dayu Lv's Hit Papers
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 726
- Genetics 315
- Surgery 432
- Health Information Management 44
- Cardiology and Cardiovascular Medicine 86
Countries citing papers authored by Dayu Lv
This map shows the geographic impact of Dayu Lv'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 Dayu Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayu Lv more than expected).
Fields of papers citing papers by Dayu Lv
This network shows the impact of papers produced by Dayu Lv. 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 Dayu Lv. The network helps show where Dayu Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayu Lv, 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 | The UVA/PADOVA Type 1 Diabetes Simulator Hit paper breakdown → | 2014 | 560 |
| 2 | 2018 | 194 | |
| 3 | 2018 | 70 | |
| 4 | 2021 | 32 | |
| 5 | 2013 | 13 | |
| 6 | 2016 | 10 | |
| 7 | 2010 | 9 | |
| 8 | 2015 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2009 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 2008 | 1 | |
| 13 | 2018 | 0 | |
| 14 | 2025 | 0 |
About Dayu Lv
Dayu Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Physiology, having authored 14 papers that have together received 899 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers), Adipose Tissue and Metabolism (2 papers), Diet and metabolism studies (2 papers), Muscle metabolism and nutrition (1 paper), Catalytic Processes in Materials Science (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (726 citations), Genetics (315 citations), Surgery (432 citations), Health Information Management (44 citations) and Cardiology and Cardiovascular Medicine (86 citations). Dayu Lv has collaborated with scholars based in United States and Italy. Frequent co-authors include Marc D. Breton, Boris Kovatchev, Claudio Cobelli, Chiara Dalla Man, Francesco Micheletto, Enrique Campos-Náñez, Michele Schiavon, Martina Vettoretti, R. Visentin and Stephen D. Patek. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Computer Methods and Programs in Biomedicine, Diabetes and Fuel.
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.