Ansgar Heck
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Nephrology top 2%
- Epidemiology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Jens BollerslevOlivera Casar‐BorotaStine Lyngvi FougnerKristin GodangGeir RingstadNicoleta Cristina OlarescuJens Petter BergJon Ramm‐Pettersen
- Topics
- Pituitary Gland Disorders and Treatments (23 papers)Growth Hormone and Insulin-like Growth Factors (20 papers)Parathyroid Disorders and Treatments (9 papers)
In The Last Decade
Ansgar Heck
39 papers receiving 988 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 634
- Surgery 351
- Nephrology 232
- Epidemiology 209
- Pathology and Forensic Medicine 142
Countries citing papers authored by Ansgar Heck
This map shows the geographic impact of Ansgar Heck'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 Ansgar Heck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ansgar Heck more than expected).
Fields of papers citing papers by Ansgar Heck
This network shows the impact of papers produced by Ansgar Heck. 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 Ansgar Heck. The network helps show where Ansgar Heck may publish in the future.
Co-authorship network of co-authors of Ansgar Heck
This figure shows the co-authorship network connecting the top 25 collaborators of Ansgar Heck. A scholar is included among the top collaborators of Ansgar Heck 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 Ansgar Heck. Ansgar Heck 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 32 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 54 | |
| 14 | 115 | |
| 15 | 146 | |
| 16 | The value of T2 weighted MR-imaging for stratification to medical therapy in newly diagnosed acromegaly | 0 |
| 17 | StarWorlds - StarBits. (Announcement of two databases). | 1 |
| 18 | StarWords. A database of abbreviations, acronyms, and symbols in astronomy, space sciences, and related fields. (Announcement of a database) | 1 |
| 19 | Astronomy from Large Databases II, Haguenau, 14-16 September 1992 : proceedings | 1 |
| 20 | Astronomy from large databases II. Proceedings. | 1 |
About Ansgar Heck
Ansgar Heck is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Orthopedics and Sports Medicine, having authored 42 papers that have together received 996 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (23 papers), Growth Hormone and Insulin-like Growth Factors (20 papers) and Parathyroid Disorders and Treatments (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (634 citations), Nephrology (232 citations) and Orthopedics and Sports Medicine (87 citations). Ansgar Heck has collaborated with scholars based in Norway, Sweden and Denmark. Frequent co-authors include Jens Bollerslev, Olivera Casar‐Borota, Jens Bollerslev, Stine Lyngvi Fougner, Kristin Godang, Geir Ringstad, Nicoleta Cristina Olarescu, Jens Petter Berg, Jon Ramm‐Pettersen and Tove Lekva. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.