H. U. Schweikert
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Pulmonary and Respiratory Medicine
- Reproductive Medicine
- Co-authors
- Jan TrapmanAlbert O. BrinkmannGeorge G. J. M. KuiperLutz WolfRicardo P.J. BuddeC. Ris-StalpersH.J. DegenhartPeter W. Faber
- Topics
- Hormonal and reproductive studies (9 papers)Sexual Differentiation and Disorders (9 papers)Estrogen and related hormone effects (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of Sciences
- Partner nations
- GermanyNetherlandsAustria
In The Last Decade
H. U. Schweikert
16 papers receiving 387 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 229
- Endocrinology, Diabetes and Metabolism 220
- Genetics 216
- Pulmonary and Respiratory Medicine 78
- Reproductive Medicine 42
Countries citing papers authored by H. U. Schweikert
This map shows the geographic impact of H. U. Schweikert'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 H. U. Schweikert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. U. Schweikert more than expected).
Fields of papers citing papers by H. U. Schweikert
This network shows the impact of papers produced by H. U. Schweikert. 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 H. U. Schweikert. The network helps show where H. U. Schweikert may publish in the future.
Co-authorship network of co-authors of H. U. Schweikert
This figure shows the co-authorship network connecting the top 25 collaborators of H. U. Schweikert. A scholar is included among the top collaborators of H. U. Schweikert 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 H. U. Schweikert. H. U. Schweikert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 41 | |
| 7 | 30 | |
| 8 | 6 | |
| 9 | 71 | |
| 10 | 61 | |
| 11 | 6 | |
| 12 | 86 | |
| 13 | 0 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 0 |
About H. U. Schweikert
H. U. Schweikert is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Reproductive Medicine, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Sexual Differentiation and Disorders (9 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (220 citations), Genetics (216 citations) and Reproductive Medicine (42 citations). H. U. Schweikert has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Jan Trapman, Albert O. Brinkmann, George G. J. M. Kuiper, Lutz Wolf, Ricardo P.J. Budde, C. Ris-Stalpers, H.J. Degenhart, Peter W. Faber, Netty D. Zegers and Malcolm B. Hodgins. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.
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.