R. P. Willig
- Endocrinology, Diabetes and Metabolism top 5%
- Biophysics top 2%
- Endocrine and Autonomic Systems top 5%
- Physiology
- Molecular Biology
- Co-authors
- I LagensteinJ.C. CommentzWolfgang WiltschkoN StahnkeP. SemmLutz VollrathHorst A. WelkerG. Grübel
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)Sexual Differentiation and Disorders (7 papers)Pituitary Gland Disorders and Treatments (6 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
R. P. Willig
43 papers receiving 703 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 222
- Biophysics 160
- Endocrine and Autonomic Systems 122
- Physiology 122
- Molecular Biology 116
Countries citing papers authored by R. P. Willig
This map shows the geographic impact of R. P. Willig'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 R. P. Willig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. P. Willig more than expected).
Fields of papers citing papers by R. P. Willig
This network shows the impact of papers produced by R. P. Willig. 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 R. P. Willig. The network helps show where R. P. Willig may publish in the future.
Co-authorship network of co-authors of R. P. Willig
This figure shows the co-authorship network connecting the top 25 collaborators of R. P. Willig. A scholar is included among the top collaborators of R. P. Willig 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 R. P. Willig. R. P. Willig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | The Distribution of the Southern Brown Bandicoot 'Isoodon Obesulus' in South Central Victoria | 10 |
| 4 | 3 | |
| 5 | Modelling distributions of large forest owls as a conservation tool in forest management: a case study from Victoria, Southeastern Australia. | 0 |
| 6 | 66 | |
| 7 | 21 | |
| 8 | 46 | |
| 9 | 2 | |
| 10 | 31 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 73 | |
| 15 | 233 | |
| 16 | 31 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 21 |
About R. P. Willig
R. P. Willig is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 47 papers that have together received 761 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Sexual Differentiation and Disorders (7 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Biophysics (160 citations), Endocrine and Autonomic Systems (122 citations) and Endocrinology, Diabetes and Metabolism (222 citations). R. P. Willig has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include I Lagenstein, J.C. Commentz, Wolfgang Wiltschko, N Stahnke, P. Semm, Lutz Vollrath, Horst A. Welker, G. Grübel, Richard Loyn and Dieter K. Lüdecke. Their work appears in journals such as The Lancet, Diabetologia and Biological Conservation.
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.