A-C Syvänen

1.9k citations
29 papers · 1.1k · h-index 17

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • Identification and Quantification in Food 3
    • Forensic and Genetic Research 2

A-C Syvänen

28 papers receiving 1.1k citations

Peers

A-C Syvänen
Comparison fields: 5 of 87
  • Rheumatology 251
  • Immunology 323
  • Genetics 339
  • Physiology 234
  • Cell Biology 119
Replace Cecilia Soh with:
Cecilia Soh United Kingdom
Masaaki Honda Japan
S L Woo United States
Clare E. Sample United States
Stephen Demczuk Switzerland
Shigeki Miyawaki Japan
Julie Carman United States
Diego G. Silva Australia
Satoshi Tanaka Japan
María Ángeles García-López Spain
A-C Syvänen relative to Cecilia Soh United Kingdom Cecilia Soh's profile →
Citations per field
00.5×4.7×
Cecilia Soh · 1×
Citations per year

Countries citing papers authored by A-C Syvänen

Since Specialization
Citations

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

Fields of papers citing papers by A-C Syvänen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A-C Syvänen. 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 A-C Syvänen. The network helps show where A-C Syvänen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008159
2 2007138
3 2008122
4 1991116
5 2002114
6 1992113
7 200076
8 200741
9 199635
10 199029
11 199228
12 200327
13 201526
14 200619
15 201018
16 201118
17 200916
18 200813
19 20097
20 19946

About A-C Syvänen

A-C Syvänen is a scholar working on Molecular Biology, Genetics, Rheumatology, Immunology and Oncology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), T-cell and B-cell Immunology (4 papers), Identification and Quantification in Food (3 papers), Lysosomal Storage Disorders Research (3 papers), Forensic and Genetic Research (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Rheumatology (251 citations), Immunology (323 citations), Genetics (339 citations), Physiology (234 citations) and Cell Biology (119 citations). A-C Syvänen has collaborated with scholars based in Sweden, Finland and United Kingdom. Frequent co-authors include Laura‐Maria Peltonen, Elina Ikonen, Gerli Pielberg, Christian Olsson, Leif Andersson, Marina Bengtström, Snævar Sigurðsson, Guðrún Kristjánsdóttir, Gunnel Nordmark and Lennart Truedsson. Their work appears in journals such as Human Molecular Genetics, Annals of the Rheumatic Diseases, Leukemia, Genomics and Endangered Species Research.

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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