Matthias Haase
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Cancer Research
- Genetics
- Co-authors
- Holger S. WillenbergM. SchottStefan R. BornsteinTanja DekkersJacques W.M. LendersGraeme EisenhoferJaap DeinumMirko Peitzsch
- Topics
- Hormonal Regulation and Hypertension (18 papers)Adrenal Hormones and Disorders (14 papers)Adrenal and Paraganglionic Tumors (12 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Matthias Haase
42 papers receiving 880 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 627
- Surgery 465
- Molecular Biology 186
- Cancer Research 128
- Genetics 67
Countries citing papers authored by Matthias Haase
This map shows the geographic impact of Matthias Haase'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 Matthias Haase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Haase more than expected).
Fields of papers citing papers by Matthias Haase
This network shows the impact of papers produced by Matthias Haase. 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 Matthias Haase. The network helps show where Matthias Haase may publish in the future.
Co-authorship network of co-authors of Matthias Haase
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Haase. A scholar is included among the top collaborators of Matthias Haase 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 Matthias Haase. Matthias Haase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | The Pain Paradox of Borderline Personality and Total Knee Arthroplasty (TKA): Recruiting Borderline Personality Organization to Predict the One-Year Postoperative Outcome | 1 |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 126 | |
| 9 | 172 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 28 | |
| 16 | 0 | |
| 17 | 9 | |
| 18 | 22 | |
| 19 | 19 | |
| 20 | 35 |
About Matthias Haase
Matthias Haase is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 44 papers that have together received 893 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (18 papers), Adrenal Hormones and Disorders (14 papers) and Adrenal and Paraganglionic Tumors (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (627 citations), Surgery (465 citations) and Cancer Research (128 citations). Matthias Haase has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Holger S. Willenberg, M. Schott, Stefan R. Bornstein, Holger S. Willenberg, Tanja Dekkers, Jacques W.M. Lenders, Graeme Eisenhofer, Jaap Deinum, Mirko Peitzsch and Ute I. Scholl. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología 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.