Eva E. Qwarnström

3.3k citations
65 papers · 2.7k · h-index 25

Impact in

Papers in

    • S100 Proteins and Annexins 4
    • Cell death mechanisms and regulation 4
    • Immune Response and Inflammation 22

Eva E. Qwarnström

65 papers receiving 2.6k citations

Peers

Eva E. Qwarnström
Comparison fields: 5 of 147
  • Immunology and Allergy 298
  • Immunology 906
  • Cell Biology 670
  • Cancer Research 598
  • Molecular Biology 1.1k
Replace James W. Fett with:
James W. Fett United States
Günther R. Adolf Austria
Christian Stratowa Austria
Hsiang‐Cheng Chen Taiwan
Jane Goodall United Kingdom
Marc E. Key United States
Kenneth Schooley United States
Reinhard Schwartz‐Albiez Germany
Panomwat Amornphimoltham United States
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Citations per field
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Citations per year

Countries citing papers authored by Eva E. Qwarnström

Since Specialization
Citations

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

Fields of papers citing papers by Eva E. Qwarnström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992303
2 2000271
3 2004247
4 1983179
5 1990158
6 1998147
7 1988140
8 2000128
9 200697
10 199482
11 199170
12 199956
13 200354
14 199851
15 199049
16 201443
17 200842
18 200541
19 200931
20 198331

About Eva E. Qwarnström

Eva E. Qwarnström is a scholar working on Molecular Biology, Immunology, Cancer Research, Immunology and Allergy and Cell Biology, having authored 65 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (22 papers), NF-κB Signaling Pathways (20 papers), Cell Adhesion Molecules Research (14 papers), Salivary Gland Disorders and Functions (11 papers), Cytokine Signaling Pathways and Interactions (9 papers), Proteoglycans and glycosaminoglycans research (8 papers), S100 Proteins and Annexins (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Immunology and Allergy (298 citations), Immunology (906 citations), Cell Biology (670 citations), Cancer Research (598 citations) and Molecular Biology (1.1k citations). Eva E. Qwarnström has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Steven Dower, Thomas N. Wight, Michael G. Kinsella, Roy C. Page, Franço Carlotti, Endré Kiss-Toth, Mike Holcombe, John E. Sims, Kenneth Schooley and R. H. Smallwood. Their work appears in journals such as Journal of Biological Chemistry, Dentomaxillofacial Radiology, Biochemical Society Transactions, Biochemical Journal and Biosystems.

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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