Weichung Shih
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Darren K. McGuireRichard E. PratleyChristopher P. CannonB CharbonnelFrancesco CosentinoSteven G. TerraUrszula MasiukiewiczDavid Z.I. Cherney
- Topics
- Diabetes Treatment and Management (10 papers)Metabolism, Diabetes, and Cancer (7 papers)Pancreatic function and diabetes (4 papers)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Weichung Shih
29 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 2.0k
- Molecular Biology 1.0k
- Surgery 820
- Cardiology and Cardiovascular Medicine 588
- Pulmonary and Respiratory Medicine 465
Countries citing papers authored by Weichung Shih
This map shows the geographic impact of Weichung Shih'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 Weichung Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichung Shih more than expected).
Fields of papers citing papers by Weichung Shih
This network shows the impact of papers produced by Weichung Shih. 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 Weichung Shih. The network helps show where Weichung Shih may publish in the future.
Co-authorship network of co-authors of Weichung Shih
This figure shows the co-authorship network connecting the top 25 collaborators of Weichung Shih. A scholar is included among the top collaborators of Weichung Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weichung Shih. Weichung Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 109 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 175 | |
| 7 | Association of SGLT2 Inhibitors With Cardiovascular and Kidney Outcomes in Patients With Type 2 Diabetesbreakdown → | 708 |
| 8 | Cardiovascular Outcomes with Ertugliflozin in Type 2 Diabetesbreakdown → | 1011 |
| 9 | 136 | |
| 10 | 55 | |
| 11 | 160 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | A phase I and pharmacologic study of the combination of marimastat and paclitaxel in patients with advanced malignancy. | 8 |
| 17 | A Phase I/pilot study of sequential doxorubicin/vinorelbine: effects on p53 and microtubule-associated protein 4. | 18 |
| 18 | 18 | |
| 19 | 59 | |
| 20 | 26 |
About Weichung Shih
Weichung Shih is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability and Molecular Biology, having authored 31 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Nephrology (233 citations) and Cardiology and Cardiovascular Medicine (588 citations). Weichung Shih has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Darren K. McGuire, Richard E. Pratley, Christopher P. Cannon, B Charbonnel, Francesco Cosentino, Steven G. Terra, Urszula Masiukiewicz, David Z.I. Cherney, Samuel Dagogo‐Jack and Susan Huyck. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.
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.