Karin Sege

1.1k citations
22 papers · 899 · h-index 13

Impact in

Papers in

Karin Sege

22 papers receiving 804 citations

Peers

Karin Sege
Comparison fields: 5 of 80
  • Immunology 328
  • Radiology, Nuclear Medicine and Imaging 285
  • Nephrology 72
  • Molecular Biology 426
  • Hematology 63
Replace Sonia Baur with:
Sonia Baur United States
Taroh Kinoshita Japan
S. Kishimoto Japan
T.A. Fleisher United States
Gabrielle H. Reem United States
Stephen Demczuk Switzerland
Terunobu Saito Japan
James J. Castles United States
Toshio Mazda Japan
T B Okarma United States
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Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by Karin Sege

Since Specialization
Citations

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

Fields of papers citing papers by Karin Sege

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978260
2 1981101
3 197187
4 198084
5 197577
6 198162
7 197841
8 198130
9 198128
10 198024
11
Isolation of radiolabelled H-2 antigens [proceedings].
197622
12 197912
13 197712
14 198510
15 198210
16 19839
17
Use of anti-idiotypic antibodies as cell surface probes
19789
18 19828
19 19816
20 19803

About Karin Sege

Karin Sege is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cell Biology and Genetics, having authored 22 papers that have together received 899 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers), T-cell and B-cell Immunology (6 papers), Advanced Proteomics Techniques and Applications (3 papers), Diabetes and associated disorders (2 papers), Retinoids in leukemia and cellular processes (2 papers), Biotin and Related Studies (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (328 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Nephrology (72 citations), Molecular Biology (426 citations) and Hematology (63 citations). Karin Sege has collaborated with scholars based in Sweden, Germany and Finland. Frequent co-authors include Per A. Peterson, Lars Rask, L Wibell, F. Anders Karlsson, Helena Anundi, Lars Östberg, P A Peterson, Lynn Graf, Torgny Groth and Lars Klareskog. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Clinical Investigation, Annals of the New York Academy of Sciences, Immunogenetics and International Journal of Immunogenetics.

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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