Eva Sjölin

1.5k citations
15 papers · 1.1k indexed · h-index 13

Impact in

Papers in

    • Adipose Tissue and Metabolism 12
    • Nutrition and Health in Aging 2
    • RNA Research and Splicing 2
    • Ubiquitin and proteasome pathways 1

Eva Sjölin

15 papers receiving 1.1k citations

Peers

Eva Sjölin
Comparison fields: 5 of 78
  • Physiology 642
  • Endocrine and Autonomic Systems 94
  • Epidemiology 414
  • Biochemistry 76
  • Cancer Research 103
Replace Naomi Hosogai with:
Naomi Hosogai Japan
Ivet Elias Spain
Javier Baltar Spain
Kerstin Wåhlén Sweden
Rogério Rabelo Brazil
Jorge L. Durand United States
Jennifer B. DelProposto United States
Gerard Pardo Spain
Ilona Larson United States
Meritxell Rosell Spain
Eva Sjölin relative to Naomi Hosogai Japan Naomi Hosogai's profile →
Citations per field
00.5×1.7×
Naomi Hosogai · 1×
Citations per year

Countries citing papers authored by Eva Sjölin

Since Specialization
Citations

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

Fields of papers citing papers by Eva Sjölin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004180
2 2007173
3 2007167
4 2008127
5 2010108
6 2011105
7 201169
8 200669
9 200744
10 201125
11 201123
12 201120
13 201015
14 200711
15 200710

About Eva Sjölin

Eva Sjölin is a scholar working on Physiology, Molecular Biology, Biochemistry, Epidemiology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Lipid metabolism and biosynthesis (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Regulation of Appetite and Obesity (3 papers), RNA Research and Splicing (2 papers), Nutrition and Health in Aging (2 papers), Pancreatic function and diabetes (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Physiology (642 citations), Endocrine and Autonomic Systems (94 citations), Epidemiology (414 citations), Biochemistry (76 citations) and Cancer Research (103 citations). Eva Sjölin has collaborated with scholars based in Sweden, Italy and Canada. Frequent co-authors include Johan Hoffstedt, Kerstin Wåhlén, Peter Arner, Mikael Rydén, Vanessa van Harmelen, Ingrid Dahlman, Jurga Laurencikiene, Steven R. Smith, Maria Kaaman and Lauren M. Sparks. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Lipid Research, British Journal of Cancer, Cancer and European Journal of Nutrition.

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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