J Zapf
- Co-authors
- Gisela K. HaselbacherR HumbelJ.C. IrmingerWalter ZieglerD.L. AndressMichael KieferPico CaroniCorinna Schneider
- Topics
- Growth Hormone and Insulin-like Growth Factors (9 papers)Cancer, Hypoxia, and Metabolism (5 papers)Metabolism, Diabetes, and Cancer (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- SwitzerlandUnited KingdomDenmark
In The Last Decade
J Zapf
16 papers receiving 592 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 311
- Endocrinology, Diabetes and Metabolism 299
- Cancer Research 130
- Genetics 94
- Surgery 68
Countries citing papers authored by J Zapf
This map shows the geographic impact of J Zapf'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 J Zapf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Zapf more than expected).
Fields of papers citing papers by J Zapf
This network shows the impact of papers produced by J Zapf. 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 J Zapf. The network helps show where J Zapf may publish in the future.
Co-authorship network of co-authors of J Zapf
This figure shows the co-authorship network connecting the top 25 collaborators of J Zapf. A scholar is included among the top collaborators of J Zapf 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 J Zapf. J Zapf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Spectrum of effectiveness of insulin-like growth factors (IGF)]. | 2 |
| 2 | 10 | |
| 3 | Systemic and regional tumour metabolism in a patient with non-islet cell tumour hypoglycaemia: role of increased levels of free insulin-like growth factors. | 6 |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 89 | |
| 7 | 2 | |
| 8 | 110 | |
| 9 | 55 | |
| 10 | 64 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 170 | |
| 14 | 34 | |
| 15 | [Malignant hyperthermia: attempt at an early diagnosis by means of determination of creatine phosphokinase (CPK) and its isoenzymes]. | 1 |
| 16 | Nonsuppressible insulin-like activity: biological activity and receptor binding. | 3 |
About J Zapf
J Zapf is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 16 papers that have together received 605 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (299 citations), Cancer Research (130 citations) and Developmental Neuroscience (20 citations). J Zapf has collaborated with scholars based in Switzerland, United Kingdom and Denmark. Frequent co-authors include Gisela K. Haselbacher, R Humbel, J.C. Irminger, Walter Ziegler, D.L. Andress, Michael Kiefer, Pico Caroni, Corinna Schneider, E. R. Froesch and W. Baier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.