M. Strebelow

459 citations
12 papers · 288 · h-index 8

Impact in

Papers in

    • Diabetes and associated disorders 11
    • Pancreatic function and diabetes 10

M. Strebelow

12 papers receiving 272 citations

Peers

M. Strebelow
Comparison fields: 5 of 42
  • Endocrinology, Diabetes and Metabolism 170
  • Genetics 235
  • Surgery 196
  • Immunology 51
  • Gastroenterology 10
Replace M.‐L. KÄÄR with:
M.‐L. KÄÄR Finland
DA Heaton United Kingdom
K. S. Rønningen Norway
Efisio Angius Italy
Taylor M. Triolo United States
J. M. McNally United Kingdom
Philip Bergman Australia
Paola Frongia Italy
A.-P. Laine Finland
E. Sabbah Finland
M. Strebelow relative to M.‐L. KÄÄR Finland M.‐L. KÄÄR's profile →
Citations per field
00.5×3.3×
M.‐L. KÄÄR · 1×
Citations per year

Countries citing papers authored by M. Strebelow

Since Specialization
Citations

This map shows the geographic impact of M. Strebelow'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 M. Strebelow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Strebelow more than expected).

Fields of papers citing papers by M. Strebelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Strebelow. 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 M. Strebelow. The network helps show where M. Strebelow may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Strebelow, 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 M. Strebelow Line = papers co-authored together M. Strebelow links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199967
2 200550
3 200543
4 200235
5 200422
6 200921
7 199619
8 199816
9 19975
10 20035
11
A monoclonal antibody based enzyme-linked immunosorbent assay for the determination of GAD65, the smaller isoform of glutamic acid decarboxylase.
19943
12 19962

About M. Strebelow

M. Strebelow is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 12 papers that have together received 288 indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (6 papers), Immune Cell Function and Interaction (2 papers), Diet and metabolism studies (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Receptor Mechanisms and Signaling (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Genetics (235 citations), Surgery (196 citations), Immunology (51 citations) and Gastroenterology (10 citations). M. Strebelow has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Michael Schlosser, I Rjasanowski, M. Ziegler, B Ziegler, Ralf Waßmuth, Anne‐Marie Madec, J. Paul Banga, Dong Luo, Anette‐Gabriele Ziegler and Ezio Bonifacio. Their work appears in journals such as Diabetologia, Acta Diabetologica, Annals of the New York Academy of Sciences, Clinical Chemistry and Pancreas.

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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