Dayu Lv
-
- Diabetes Management and Research 11
- Diabetes Treatment and Management 1
- Genetics top 5%
- Diabetes and associated disorders 7
- Surgery top 5%
- Pancreatic function and diabetes 10
-
- Diet and metabolism studies 2
- Adipose Tissue and Metabolism 2
-
- Fluid Dynamics and Mixing 1
-
- Catalytic Processes in Materials Science 1
- Co-authors
- Marc D. BretonBoris KovatchevChiara Dalla ManClaudio CobelliFrancesco MichelettoEnrique Campos-NáñezR. VisentinMichele Schiavon
- Journals
- Journal of Diabetes Science and Technology (3 papers)Diabetes Technology & Therapeutics (2 papers)Computers in Biology and Medicine (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Dayu Lv
11 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 750
- Genetics 416
- Surgery 559
- Health Information Management 51
- Cardiology and Cardiovascular Medicine 95
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-authorship network
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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 31 | |
| 4 | 2018 | 70 | |
| 5 | 2018 | 0 | |
| 6 | 2018 | 193 | |
| 7 | 2016 | 10 | |
| 8 | 2015 | 6 | |
| 9 | The UVA/PADOVA Type 1 Diabetes Simulatorbreakdown → | 2014 | 554 |
| 10 | 2013 | 13 | |
| 11 | 2010 | 9 | |
| 12 | 2009 | 1 | |
| 13 | 2008 | 1 | |
| 14 | 2008 | 1 |
About Dayu Lv
Dayu Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Physiology and Cell Biology, having authored 14 papers that have together received 891 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (7 papers), Diet and metabolism studies (2 papers), Adipose Tissue and Metabolism (2 papers), Fluid Dynamics and Mixing (1 paper), Catalytic Processes in Materials Science (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (750 citations), Genetics (416 citations), Surgery (559 citations), Health Information Management (51 citations) and Cardiology and Cardiovascular Medicine (95 citations). Dayu Lv has collaborated with scholars based in United States and Italy. Frequent co-authors include Marc D. Breton, Boris Kovatchev, Chiara Dalla Man, Claudio Cobelli, Francesco Micheletto, Enrique Campos-Náñez, R. Visentin, Michele Schiavon, Martina Vettoretti and Stephen D. Patek. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Computers in Biology and Medicine, Diabetes and Computer Methods and Programs in Biomedicine.
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.