Olov Ekwall

4.2k citations
46 papers · 1.7k indexed · h-index 20

Impact in

Papers in

Olov Ekwall

45 papers receiving 1.7k citations

Peers

Olov Ekwall
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 827
  • Genetics 770
  • Immunology 398
  • Gastroenterology 57
  • Neurology 151
Replace Mara Giordano with:
Mara Giordano Italy
Zhibin Chen United States
Janette Allison Australia
James Copeman United Kingdom
H Bour United States
Moustafa Attar United Kingdom
Cristina Costa Spain
Y. Cetin Germany
Marie‐Claude Gagnerault France
H. A. Drexhage Netherlands
Olov Ekwall relative to Mara Giordano Italy Mara Giordano's profile →
Citations per field
00.5×2.6×
Mara Giordano · 1×
Citations per year

Countries citing papers authored by Olov Ekwall

Since Specialization
Citations

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

Fields of papers citing papers by Olov Ekwall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20246
3 20247
4 20241
5 20245
6 20230
7 202218
8 202210
9 20221
10 20228
11 202117
12 20189
13 201862
14 201359
15 201252
16 20124
17 20091
18 200189
19 199934
20 1998127

About Olov Ekwall

Olov Ekwall is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Genetics, Immunology and Allergy and Behavioral Neuroscience, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (16 papers), Diabetes and associated disorders (12 papers), Hormonal Regulation and Hypertension (10 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (5 papers), Extracellular vesicles in disease (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (827 citations), Genetics (770 citations), Immunology (398 citations), Gastroenterology (57 citations) and Neurology (151 citations). Olov Ekwall has collaborated with scholars based in Sweden, Finland and Norway. Frequent co-authors include Olle Kämpe, Eystein S. Husebye, Fredrik Rorsman, Jaakko Perheentupa, Jan Gustafsson, Håkan Hedstrand, Jose Zapardiel‐Gonzalo, Natalie Amirian, Teresa Rodríguez-Calvo and Matthias G. von Herrath. Their work appears in journals such as Frontiers in Immunology, The Journal of Clinical Endocrinology & Metabolism, Nature Communications, The Journal of Comparative Neurology and Inflammatory Bowel Diseases.

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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