Helmut G. Schrott
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Genetics top 2%
- Cancer Research top 2%
- Co-authors
- Arno G. MotulskyWilliam R. HazzardJoseph L. GoldsteinEdwin L. BiermanWilliam R. ClarkeRonald M. LauerW E ConnorE L Bierman
- Topics
- Lipoproteins and Cardiovascular Health (27 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)Cancer, Lipids, and Metabolism (7 papers)
- Partner nations
- United StatesPolandNew Zealand
In The Last Decade
Helmut G. Schrott
58 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Surgery 2.7k
- Endocrinology, Diabetes and Metabolism 2.5k
- Cardiology and Cardiovascular Medicine 1.3k
- Genetics 894
- Cancer Research 785
Countries citing papers authored by Helmut G. Schrott
This map shows the geographic impact of Helmut G. Schrott'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 Helmut G. Schrott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut G. Schrott more than expected).
Fields of papers citing papers by Helmut G. Schrott
This network shows the impact of papers produced by Helmut G. Schrott. 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 Helmut G. Schrott. The network helps show where Helmut G. Schrott may publish in the future.
Co-authorship network of co-authors of Helmut G. Schrott
This figure shows the co-authorship network connecting the top 25 collaborators of Helmut G. Schrott. A scholar is included among the top collaborators of Helmut G. Schrott 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 Helmut G. Schrott. Helmut G. Schrott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 289 | |
| 2 | 51 | |
| 3 | 110 | |
| 4 | 21 | |
| 5 | 40 | |
| 6 | 433 | |
| 7 | 158 | |
| 8 | 82 | |
| 9 | 28 | |
| 10 | 15 | |
| 11 | 56 | |
| 12 | 31 | |
| 13 | 205 | |
| 14 | 189 | |
| 15 | 42 | |
| 16 | 10 | |
| 17 | 75 | |
| 18 | Multivariate models for human genetic analysis: aggregation, coaggregation, and tracking of systolic blood pressure and weight. | 32 |
| 19 | 10 | |
| 20 | Plasma lipid levels and coronary heart disease in adult relatives of newborns with normal and elevated cord blood lipids. | 31 |
About Helmut G. Schrott
Helmut G. Schrott is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Geriatrics and Gerontology, having authored 59 papers that have together received 5.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (27 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and Cancer, Lipids, and Metabolism (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Surgery (2.7k citations) and Cardiology and Cardiovascular Medicine (1.3k citations). Helmut G. Schrott has collaborated with scholars based in United States, Poland and New Zealand. Frequent co-authors include Arno G. Motulsky, William R. Hazzard, Joseph L. Goldstein, Edwin L. Bierman, William R. Clarke, Ronald M. Lauer, W E Connor, E L Bierman, Nidhi Maheshwari and Bruce A. Smith. Their work appears in journals such as JAMA, Circulation and Journal of Clinical Investigation.
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.