S. Raab
Impact in
-
- Diabetes Treatment and Management
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology
Papers in ⓘ
-
- Diabetes Treatment and Management 3
- Co-authors
- R. Claus (5 shared papers)Christoph Ullmer (6 shared papers)Sabine Sewing (3 shared papers)Agnès Bénardeau (3 shared papers)Peter Mohr (4 shared papers)Rudolf Leiser (1 shared paper)Patrizio Mattei (2 shared papers)Henrietta Dehmlow (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Molecular Metabolism (1 paper)CHIMIA International Journal for Chemistry (1 paper)Advances in experimental medicine and biology (1 paper)Histochemistry and Cell Biology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
S. Raab
16 papers receiving 453 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 88
- Animal Science and Zoology 48
- Sensory Systems 20
- Biochemistry 24
- Molecular Biology 207
Countries citing papers authored by S. Raab
This map shows the geographic impact of S. Raab'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 S. Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Raab more than expected).
Fields of papers citing papers by S. Raab
This network shows the impact of papers produced by S. Raab. 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 S. Raab. The network helps show where S. Raab may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Raab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 85 | |
| 2 | 2015 | 78 | |
| 3 | 2013 | 74 | |
| 4 | 1998 | 36 | |
| 5 | 2015 | 32 | |
| 6 | 1999 | 27 | |
| 7 | 2009 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2010 | 21 | |
| 10 | 1996 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2010 | 11 | |
| 13 | 1996 | 8 | |
| 14 | 2001 | 7 | |
| 15 | 2013 | 3 | |
| 16 | 2009 | 2 |
About S. Raab
S. Raab is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Gastroenterology, Molecular Biology and Parasitology, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Pancreatic function and diabetes (3 papers), Mast cells and histamine (3 papers), Diabetes Treatment and Management (3 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (88 citations), Animal Science and Zoology (48 citations), Sensory Systems (20 citations), Biochemistry (24 citations) and Molecular Biology (207 citations). S. Raab has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include R. Claus, Christoph Ullmer, Sabine Sewing, Agnès Bénardeau, Peter Mohr, Rudolf Leiser, Patrizio Mattei, Henrietta Dehmlow, Karin Conde‐Knape and Urs Sprecher. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Metabolism, CHIMIA International Journal for Chemistry, Advances in experimental medicine and biology and Histochemistry and Cell 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.