Maria Yu
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Family Practice top 10%
- Medication Adherence and Compliance
Papers in
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- Diabetes Treatment and Management 24
- Diabetes Management and Research 2
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- Metabolism, Diabetes, and Cancer 4
- Co-authors
- Reema Mody (16 shared papers)Laura Fernández Landó (9 shared papers)Michael Grabner (10 shared papers)Kristina S. Boye (4 shared papers)Ralph Swindle (2 shared papers)Hiren Patel (6 shared papers)Anita Y. M. Kwan (3 shared papers)Mohamed Hassanein (1 shared paper)
- Journals
- Diabetes Obesity and Metabolism (8 papers)Clinical Therapeutics (8 papers)Diabetes (6 papers)Current Medical Research and Opinion (4 papers)BMJ Open Diabetes Research & Care (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Maria Yu
32 papers receiving 732 citations
Peers
Comparison fields: 5 of 52
- Endocrinology, Diabetes and Metabolism 542
- Family Practice 24
- Physiology 101
- Pharmacology 56
- Geriatrics and Gerontology 8
Countries citing papers authored by Maria Yu
This map shows the geographic impact of Maria Yu'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 Maria Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Yu more than expected).
Fields of papers citing papers by Maria Yu
This network shows the impact of papers produced by Maria Yu. 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 Maria Yu. The network helps show where Maria Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Yu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2017 | 84 | |
| 3 | 2018 | 74 | |
| 4 | 2017 | 73 | |
| 5 | 2016 | 67 | |
| 6 | 2017 | 44 | |
| 7 | 2014 | 44 | |
| 8 | 2019 | 35 | |
| 9 | 2015 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2022 | 20 | |
| 12 | 2017 | 17 | |
| 13 | 2008 | 17 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2012 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2019 | 8 |
About Maria Yu
Maria Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Family Practice, Pulmonary and Respiratory Medicine and Surgery, having authored 33 papers that have together received 746 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (24 papers), Medication Adherence and Compliance (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Management and Research (2 papers), Gastric Cancer Management and Outcomes (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Hydraulic and Pneumatic Systems (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (542 citations), Family Practice (24 citations), Physiology (101 citations), Pharmacology (56 citations) and Geriatrics and Gerontology (8 citations). Maria Yu has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Reema Mody, Laura Fernández Landó, Michael Grabner, Kristina S. Boye, Ralph Swindle, Hiren Patel, Anita Y. M. Kwan, Mohamed Hassanein, Abdul Jabbar and Salem Beshyah. Their work appears in journals such as Diabetes Obesity and Metabolism, Clinical Therapeutics, Diabetes, Current Medical Research and Opinion and BMJ Open Diabetes Research & Care.
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.