Annika Söderbergh

742 citations
8 papers · 381 · h-index 7

Impact in

    • Adrenal Hormones and Disorders
    • Hormonal Regulation and Hypertension
    • Pituitary Gland Disorders and Treatments
    • Thyroid Disorders and Treatments
    • Diabetes and associated disorders

Papers in

Annika Söderbergh

7 papers receiving 347 citations

Peers

Annika Söderbergh
Comparison fields: 5 of 53
  • Endocrinology, Diabetes and Metabolism 269
  • Genetics 155
  • Gastroenterology 15
  • Neurology 39
  • Immunology 56
Replace Heinrich Kahles with:
Heinrich Kahles Germany
Nunzia Brusca Italy
Matteo Viscardi Italy
Takeo Kuroda Japan
E Schober Austria
G. Di Cairano Italy
Miaoying Zhang China
Karla Simone Costa de Souza Brazil
Sam W. Moore South Africa
Yavuz Şahin Türkiye
Annika Söderbergh relative to Heinrich Kahles Germany Heinrich Kahles's profile →
Citations per field
00.5×9.8×
Heinrich Kahles · 1×
Citations per year

Countries citing papers authored by Annika Söderbergh

Since Specialization
Citations

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

Fields of papers citing papers by Annika Söderbergh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Annika Söderbergh, 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 Annika Söderbergh Line = papers co-authored together Annika Söderbergh links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2004178
2 199649
3 200048
4 200531
5 200031
6 199626
7 200618
8
Organ-specific autoantibodies in addison's disease and autoimmune polyendocrine syndrome type I
20000

About Annika Söderbergh

Annika Söderbergh is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Nephrology and Cell Biology, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (7 papers), Hormonal Regulation and Hypertension (4 papers), Diabetes and associated disorders (2 papers), Celiac Disease Research and Management (1 paper), Muscle metabolism and nutrition (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Adrenal and Paraganglionic Tumors (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (269 citations), Genetics (155 citations), Gastroenterology (15 citations), Neurology (39 citations) and Immunology (56 citations). Annika Söderbergh has collaborated with scholars based in Sweden, Norway and Finland. Frequent co-authors include Olle Kämpe, Fredrik Rorsman, Eystein S. Husebye, Olov Ekwall, Maria Halonen, Ola Winqvist, Jan Gustafsson, Jaakko Perheentupa, M Gylling and Michael P. Manns. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Acta Paediatrica, Occupational Medicine and Molecular Medicine Today.

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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