H. G. Bohnet
- Endocrinology, Diabetes and Metabolism top 2%
- Reproductive Medicine top 1%
- Molecular Biology
- Genetics top 10%
- Immunology
- Co-authors
- Henry G. FriesenH. P. G. SchneiderBirgit GellersenFreimut A. LeidenbergerH.G. DahlénAmal K. MukhopadhyayGabriel E. DiMattiaW. Wuttke
- Topics
- Growth Hormone and Insulin-like Growth Factors (18 papers)Ovarian function and disorders (14 papers)Estrogen and related hormone effects (9 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
H. G. Bohnet
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 671
- Reproductive Medicine 484
- Molecular Biology 307
- Genetics 269
- Immunology 199
Countries citing papers authored by H. G. Bohnet
This map shows the geographic impact of H. G. Bohnet'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. G. Bohnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. G. Bohnet more than expected).
Fields of papers citing papers by H. G. Bohnet
This network shows the impact of papers produced by H. G. Bohnet. 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. G. Bohnet. The network helps show where H. G. Bohnet may publish in the future.
Co-authorship network of co-authors of H. G. Bohnet
This figure shows the co-authorship network connecting the top 25 collaborators of H. G. Bohnet. A scholar is included among the top collaborators of H. G. Bohnet 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. G. Bohnet. H. G. Bohnet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Does cord blood selenium correlate with maternal anti-TPO-titers? | 2 |
| 2 | Incidence of Selenium deficiency in thyroid disease | 1 |
| 3 | Thyroid hormones and TPO-antibodies in the cord blood of newborns | 2 |
| 4 | 63 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 5 | |
| 9 | 54 | |
| 10 | 114 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | Short luteal phase and prolactin. | 25 |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 91 | |
| 20 | 1 |
About H. G. Bohnet
H. G. Bohnet is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Ovarian function and disorders (14 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Reproductive Medicine (484 citations), Endocrinology, Diabetes and Metabolism (671 citations) and Behavioral Neuroscience (48 citations). H. G. Bohnet has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include Henry G. Friesen, H. P. G. Schneider, Birgit Gellersen, Freimut A. Leidenberger, H.G. Dahlén, Amal K. Mukhopadhyay, Gabriel E. DiMattia, W. Wuttke, Cesare Aragona and J. P. Hanker. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and FEBS Letters.
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.