Sten-Anders Ivarsson

1.3k citations
23 papers · 892 indexed · h-index 16

Sten-Anders Ivarsson

23 papers receiving 854 citations

Peers

Sten-Anders Ivarsson
Comparison fields: 5 of 83
  • Gastroenterology 91
  • Infectious Diseases 254
  • Epidemiology 443
  • Endocrinology, Diabetes and Metabolism 165
  • Pediatrics, Perinatology and Child Health 162
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Citations per year

Countries citing papers authored by Sten-Anders Ivarsson

Since Specialization
Citations

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

Fields of papers citing papers by Sten-Anders Ivarsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sten-Anders Ivarsson. 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 Sten-Anders Ivarsson. The network helps show where Sten-Anders Ivarsson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201913
2 201548
3 201313
4 2013158
5 201310
6 201327
7 201218
8 200842
9
A comparison of serum and EDTA plasma in the measurement of glutamic acid decarboxylase autoantibodies (GADA) and autoantibodies to islet antigen-2 (IA-2A) using the RSR radioimmunoassay (RIA) and enzyme linked immunosorbent assay (ELISA) kits.
200827
10 200620
11 200124
12 19997
13 1999116
14 199887
15 198827
16 198616
17 19851
18 198491
19 19841
20 197914

About Sten-Anders Ivarsson

Sten-Anders Ivarsson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Gastroenterology, Pediatrics, Perinatology and Child Health and Emergency Medical Services, having authored 23 papers that have together received 892 indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Cytomegalovirus and herpesvirus research (9 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (7 papers), Neonatal Health and Biochemistry (5 papers), Parvovirus B19 Infection Studies (3 papers), Pediatric health and respiratory diseases (2 papers) and Celiac Disease Research and Management (2 papers). The work is most often cited by research in Gastroenterology (91 citations), Infectious Diseases (254 citations), Epidemiology (443 citations), Endocrinology, Diabetes and Metabolism (165 citations) and Pediatrics, Perinatology and Child Health (162 citations). Sten-Anders Ivarsson has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Karin Ahlfors, Marianne Forsgren, Bengt Lindberg, Annelie Carlsson, L Svanberg, Agneta Nordenskjöld, Åke Lernmark, Claire L Townsend, Catherine Peckham and P Tookey. Their work appears in journals such as PEDIATRICS, Pediatric Diabetes, Thyroid, Clinical Infectious Diseases and Diabetes.

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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