Eva Bengtsson

4.0k citations
87 papers · 2.5k indexed · h-index 28

Impact in

Papers in

Eva Bengtsson

86 papers receiving 2.5k citations

Peers

Eva Bengtsson
Comparison fields: 5 of 124
  • Immunology and Allergy 357
  • Immunology 1.0k
  • Cancer Research 364
  • Rheumatology 284
  • Cell Biology 288
Replace Shintaro Nakao with:
Shintaro Nakao Japan
Mark D. Rekhter United States
Remco T. A. Megens Netherlands
Andrea Bábelová Germany
Toru Kanke Japan
Christos Chadjichristos France
Ganapati H. Mahabeleshwar United States
Michiel Knaapen Belgium
Sten Stemme Sweden
Jeff S. Isenberg United States
Eva Bengtsson relative to Shintaro Nakao Japan Shintaro Nakao's profile →
Citations per field
00.5×3.5×
Shintaro Nakao · 1×
Citations per year

Countries citing papers authored by Eva Bengtsson

Since Specialization
Citations

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

Fields of papers citing papers by Eva Bengtsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20231
4 20212
5 20215
6 20209
7 20199
8 20186
9 201733
10 201418
11 201129
12 200946
13 200924
14 20087
15 200825
16 200686
17 200530
18 200058
19 1995105
20
A computerized recording system for cytopathologic diagnoses.
19771

About Eva Bengtsson

Eva Bengtsson is a scholar working on Immunology and Allergy, Immunology, Clinical Biochemistry, Cancer Research and Biochemistry, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (39 papers), Protease and Inhibitor Mechanisms (20 papers), Cell Adhesion Molecules Research (18 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Advanced Glycation End Products research (10 papers), Lipoproteins and Cardiovascular Health (7 papers) and IL-33, ST2, and ILC Pathways (6 papers). The work is most often cited by research in Immunology and Allergy (357 citations), Immunology (1.0k citations), Cancer Research (364 citations), Rheumatology (284 citations) and Cell Biology (288 citations). Eva Bengtsson has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Jan Nilsson, Stefan Jovinge, Mihaela Nitulescu, Harry Björkbacka, Lena Brånén, Gunilla Nordin Fredrikson, Lars Hovgaard, Pontus Dunér, Isabel Gonçalves and Dick Heinegård. Their work appears in journals such as Scientific Reports, Journal of Internal Medicine, Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research and Atherosclerosis.

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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