Gina S. Wei
- Cardiology and Cardiovascular Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Surgery
- Co-authors
- Cora E. LewisPaul D. SorlieDavid GordonGeorge A. MensahMichael M. EngelgauStephen SidneyPeter KaufmannLucy L. Hsu
- Topics
- Birth, Development, and Health (7 papers)Obesity, Physical Activity, Diet (5 papers)Blood Pressure and Hypertension Studies (4 papers)
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Gina S. Wei
28 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cardiology and Cardiovascular Medicine 729
- Public Health, Environmental and Occupational Health 516
- Endocrinology, Diabetes and Metabolism 252
- Epidemiology 227
- Surgery 223
Countries citing papers authored by Gina S. Wei
This map shows the geographic impact of Gina S. Wei'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 Gina S. Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina S. Wei more than expected).
Fields of papers citing papers by Gina S. Wei
This network shows the impact of papers produced by Gina S. Wei. 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 Gina S. Wei. The network helps show where Gina S. Wei may publish in the future.
Co-authorship network of co-authors of Gina S. Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Gina S. Wei. A scholar is included among the top collaborators of Gina S. Wei 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 Gina S. Wei. Gina S. Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Optimizing Prepregnancy Cardiovascular Health to Improve Outcomes in Pregnant and Postpartum Individuals and Offspring: A Scientific Statement From the American Heart Associationbreakdown → | 55 |
| 4 | 29 | |
| 5 | 25 | |
| 6 | 64 | |
| 7 | 31 | |
| 8 | 148 | |
| 9 | 50 | |
| 10 | 20 | |
| 11 | 129 | |
| 12 | 116 | |
| 13 | 68 | |
| 14 | 61 | |
| 15 | 114 | |
| 16 | 67 | |
| 17 | 110 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 2 |
About Gina S. Wei
Gina S. Wei is a scholar working on Health Informatics, Pharmacy and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Birth, Development, and Health (7 papers), Obesity, Physical Activity, Diet (5 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Pharmacy (176 citations), Cardiology and Cardiovascular Medicine (729 citations) and Obstetrics and Gynecology (172 citations). Gina S. Wei has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Cora E. Lewis, Paul D. Sorlie, David Gordon, George A. Mensah, Michael M. Engelgau, Stephen Sidney, Peter Kaufmann, Lucy L. Hsu, Yves Rosenberg and Michael E. Mussolino. Their work appears in journals such as JAMA, Circulation and Annals of Internal Medicine.
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.