Eva E. Qwarnström

3.4k citations
68 papers · 3.0k · h-index 26

Impact in

Papers in

Eva E. Qwarnström

67 papers receiving 2.8k citations

Peers

Eva E. Qwarnström
Comparison fields: 5 of 146
  • Immunology and Allergy 303
  • Immunology 903
  • Cell Biology 685
  • Cancer Research 573
  • Molecular Biology 1.1k
Replace Reinhold Schäfer with:
Reinhold Schäfer Germany
Mariko Okada Japan
Dinah S Singer United States
Malte Buchholz Germany
Shigemi M. Kinoshita Japan
Matthias Nees Finland
Cai Huang United States
Alessandra Eva Italy
Eric E. Schmidt Canada
Robert C. Rees United Kingdom
Eva E. Qwarnström relative to Reinhold Schäfer Germany Reinhold Schäfer's profile →
Citations per field
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Reinhold Schäfer · 1×
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992320
2 2000273
3 2004264
4 1983197
5 1990165
6 1998158
7 1988147
8 2000133
9 2006115
10 199483
11 199172
12 199958
13 200357
14 201156
15 199852
16 200850
17 199050
18 201446
19 200545
20 200534

About Eva E. Qwarnström

Eva E. Qwarnström is a scholar working on Cancer Research, Immunology, Immunology and Allergy, Cell Biology and Physiology, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (23 papers), NF-κB Signaling Pathways (21 papers), Cell Adhesion Molecules Research (14 papers), Salivary Gland Disorders and Functions (11 papers), Cytokine Signaling Pathways and Interactions (10 papers), Proteoglycans and glycosaminoglycans research (8 papers), Glycosylation and Glycoproteins Research (4 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Immunology and Allergy (303 citations), Immunology (903 citations), Cell Biology (685 citations), Cancer Research (573 citations) and Molecular Biology (1.1k citations). Eva E. Qwarnström has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Steven Dower, Thomas N. Wight, Michael G. Kinsella, Roy C. Page, Franço Carlotti, Endre Kiss‐Toth, Mike Holcombe, Rod H Smallwood, Kenneth Schooley and John E. Sims. Their work appears in journals such as Journal of Biological Chemistry, Biosystems, Dentomaxillofacial Radiology, Biochemical Society Transactions and Biochemical Journal.

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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