Fred Yang
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Pharmacology top 10%
- Pharmacology and Obesity Treatment
Papers in
-
- Diabetes Treatment and Management 9
- Hormonal Regulation and Hypertension 1
- Co-authors
- Murray W Stewart (9 shared papers)Julio Rosenstock (3 shared papers)Bo Åhrén (2 shared papers)SUSAN L. JOHNSON (2 shared papers)Caroline Perry (2 shared papers)Mark Bush (3 shared papers)Jane E.B. Reusch (2 shared papers)Lawrence A. Leiter (3 shared papers)
- Journals
- Diabetes Care (4 papers)Diabetologia (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Clinical Trials (1 paper)Open Forum Infectious Diseases (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Fred Yang
15 papers receiving 879 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 741
- Pharmacology 131
- Surgery 209
- Family Practice 6
- Molecular Biology 231
Countries citing papers authored by Fred Yang
This map shows the geographic impact of Fred Yang'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 Fred Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Yang more than expected).
Fields of papers citing papers by Fred Yang
This network shows the impact of papers produced by Fred Yang. 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 Fred Yang. The network helps show where Fred Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Yang, 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 | 2009 | 209 | |
| 2 | 2014 | 203 | |
| 3 | 2014 | 186 | |
| 4 | 2015 | 107 | |
| 5 | 2014 | 85 | |
| 6 | 2009 | 42 | |
| 7 | 2018 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2015 | 8 | |
| 10 | 2016 | 6 | |
| 11 | 2013 | 6 | |
| 12 | 1999 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2023 | 4 | |
| 15 | The Potential of Albiglutide, a Long-Acting GLP-1 Receptor Agonist, in Type 2 Diabetes: A Randomized Controlled Trial Exploring Weekly, Biweekly, and Monthly Dosing Running title: Albiglutide dose regimen study | 2009 | 1 |
| 16 | 2024 | 0 |
About Fred Yang
Fred Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Medicine, Physiology, Statistics and Probability and Biomaterials, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Statistical Methods in Clinical Trials (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Hormonal Regulation and Hypertension (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (741 citations), Pharmacology (131 citations), Surgery (209 citations), Family Practice (6 citations) and Molecular Biology (231 citations). Fred Yang has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Murray W Stewart, Julio Rosenstock, Bo Åhrén, SUSAN L. JOHNSON, Caroline Perry, Mark Bush, Jane E.B. Reusch, Lawrence A. Leiter, Deborah T. Cirkel and Mark N. Feinglos. Their work appears in journals such as Diabetes Care, Diabetologia, Antimicrobial Agents and Chemotherapy, Clinical Trials and Open Forum Infectious Diseases.
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.