Catrin Goebel

24 papers receiving 607 citations

Peers

Catrin Goebel
Comparison fields: 5 of 87
  • Toxicology 70
  • Endocrinology, Diabetes and Metabolism 251
  • Cell Biology 134
  • Animal Science and Zoology 83
  • Pharmacology 104
Replace Henrique Marcelo Gualberto Pereira with:
Henrique Marcelo Gualberto Pereira Brazil
Oliver Krug Germany
Jianghai Lu China
Mônica Costa Padilha Brazil
Karin M. Höld United States
Dorota Kwiatkowska Poland
Gary N. W. Leung China
Vinícius Figueiredo Sardela Brazil
Thomas Bassindale United Kingdom
Gerd Sigmund Germany
Catrin Goebel relative to Henrique Marcelo Gualberto Pereira Brazil Henrique Marcelo Gualberto Pereira's profile →
Citations per field
00.5×3.3×
Henrique Marcelo Gualberto Pereira · 1×
Citations per year

Countries citing papers authored by Catrin Goebel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Catrin Goebel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Catrin Goebel Line = papers co-authored together Catrin Goebel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201976
3 201570
4 200369
5 201146
6 200036
7 201736
8 200829
9 201426
10 201424
11 200521
12 200921
13 201417
14 201816
15 202114
16 202212
17 201210
18 20209
19 20116
20 20016

About Catrin Goebel

Catrin Goebel is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Molecular Biology, Animal Science and Zoology and Spectroscopy, having authored 25 papers that have together received 634 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Muscle metabolism and nutrition (8 papers), Pharmacological Effects and Assays (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Forensic Toxicology and Drug Analysis (2 papers), Analytical Chemistry and Chromatography (2 papers), Doping in Sports (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Toxicology (70 citations), Endocrinology, Diabetes and Metabolism (251 citations), Cell Biology (134 citations), Animal Science and Zoology (83 citations) and Pharmacology (104 citations). Catrin Goebel has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Rymantas Kazlauskas, G Trout, Louise M. Burke, Ronda F. Greaves, Stephen R. Bird, David J. Handelsman, Romas J. Kazlauskas, Antonino De Lisi, Lindsey G. Mackay and Laurence E. Mather. Their work appears in journals such as Drug Testing and Analysis, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and The Journal of Steroid Biochemistry and Molecular Biology.

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.

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