Gordon M. Saperia
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- General Health Professions top 5%
- Surgery top 10%
- Economics and Econometrics top 5%
- Co-authors
- Ira S. OckeneJames R. HébertPhilip A. MerriamJudith K. OckeneYunsheng MaEdward J. StanekAlexander M. WalkerLynn Clemow
- Topics
- Obesity and Health Practices (5 papers)Lipoproteins and Cardiovascular Health (4 papers)Obesity, Physical Activity, Diet (4 papers)
- Partner nations
- United States
In The Last Decade
Gordon M. Saperia
20 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 130
- Public Health, Environmental and Occupational Health 581
- Physiology 354
- General Health Professions 310
- Surgery 300
- Economics and Econometrics 263
Countries citing papers authored by Gordon M. Saperia
This map shows the geographic impact of Gordon M. Saperia'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 Gordon M. Saperia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon M. Saperia more than expected).
Fields of papers citing papers by Gordon M. Saperia
This network shows the impact of papers produced by Gordon M. Saperia. 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 Gordon M. Saperia. The network helps show where Gordon M. Saperia may publish in the future.
Co-authorship network of co-authors of Gordon M. Saperia
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon M. Saperia. A scholar is included among the top collaborators of Gordon M. Saperia 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 Gordon M. Saperia. Gordon M. Saperia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Treatment Implications and Possible Mechanisms | 0 |
| 2 | Primary disorders of LDL-cholesterol metabolism | 1 |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 40 | |
| 7 | 225 | |
| 8 | 49 | |
| 9 | 56 | |
| 10 | 13 | |
| 11 | 176 | |
| 12 | 425 | |
| 13 | 52 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 116 | |
| 17 | 107 | |
| 18 | 326 | |
| 19 | 16 | |
| 20 | 30 |
About Gordon M. Saperia
Gordon M. Saperia is a scholar working on Pharmacy, Geriatrics and Gerontology and Health Information Management, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Obesity and Health Practices (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Family Practice (101 citations), Pharmacy (214 citations) and Geriatrics and Gerontology (94 citations). Gordon M. Saperia has collaborated with scholars based in United States. Frequent co-authors include Ira S. Ockene, James R. Hébert, Philip A. Merriam, Judith K. Ockene, Yunsheng Ma, Edward J. Stanek, Alexander M. Walker, Lynn Clemow, Richard Platt and Susan E. Andrade. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.
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.