Catrin Goebel
- Endocrinology, Diabetes and Metabolism top 5%
- Cell Biology top 10%
- Molecular Biology
- Pharmacology top 10%
- Spectroscopy top 10%
- Co-authors
- Rymantas KazlauskasG TroutRonda F. GreavesStephen R. BirdLouise M. BurkeDavid J. HandelsmanRomas J. KazlauskasAntonino De Lisi
- Topics
- Hormonal and reproductive studies (14 papers)Muscle metabolism and nutrition (8 papers)Sexual Differentiation and Disorders (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnalytica Chimica ActaClinical Endocrinology
- Partner nations
- AustraliaBelgiumUnited States
In The Last Decade
Catrin Goebel
24 papers receiving 597 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 267
- Cell Biology 142
- Molecular Biology 130
- Pharmacology 118
- Spectroscopy 101
Countries citing papers authored by Catrin Goebel
This map shows the geographic impact of Catrin Goebel'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 Catrin Goebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catrin Goebel more than expected).
Fields of papers citing papers by Catrin Goebel
This network shows the impact of papers produced by Catrin Goebel. 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 Catrin Goebel. The network helps show where Catrin Goebel may publish in the future.
Co-authorship network of co-authors of Catrin Goebel
This figure shows the co-authorship network connecting the top 25 collaborators of Catrin Goebel. A scholar is included among the top collaborators of Catrin Goebel 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 Catrin Goebel. Catrin Goebel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 77 | |
| 9 | 16 | |
| 10 | 68 | |
| 11 | 24 | |
| 12 | 26 | |
| 13 | 17 | |
| 14 | 46 | |
| 15 | Simple and practical semiquantitative methods to determine albumine and hemoglobine through visualization in beef cattle. | 1 |
| 16 | 21 | |
| 17 | 29 | |
| 18 | 21 | |
| 19 | 6 | |
| 20 | 36 |
About Catrin Goebel
Catrin Goebel is a scholar working on Endocrinology, Diabetes and Metabolism, Toxicology and Cell Biology, having authored 26 papers that have together received 628 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (14 papers), Muscle metabolism and nutrition (8 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Toxicology (72 citations), Endocrinology, Diabetes and Metabolism (267 citations) and Animal Science and Zoology (91 citations). Catrin Goebel has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Rymantas Kazlauskas, G Trout, Ronda F. Greaves, Stephen R. Bird, Louise M. Burke, David J. Handelsman, Romas J. Kazlauskas, Antonino De Lisi, Lindsey G. Mackay and Laurence E. Mather. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Analytica Chimica Acta and Clinical Endocrinology.
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.