Eva E. Qwarnström

3.3k total citations
65 papers, 2.7k citations indexed

About

Eva E. Qwarnström is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Eva E. Qwarnström has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Immunology and 22 papers in Cancer Research. Recurrent topics in Eva E. Qwarnström's work include Immune Response and Inflammation (22 papers), NF-κB Signaling Pathways (20 papers) and Cell Adhesion Molecules Research (14 papers). Eva E. Qwarnström is often cited by papers focused on Immune Response and Inflammation (22 papers), NF-κB Signaling Pathways (20 papers) and Cell Adhesion Molecules Research (14 papers). Eva E. Qwarnström collaborates with scholars based in United States, United Kingdom and Hungary. Eva E. Qwarnström's co-authors include Steven Dower, Thomas N. Wight, Michael G. Kinsella, Roy C. Page, Franço Carlotti, Endré Kiss-Toth, Mike Holcombe, Kenneth Schooley, John E. Sims and Benson M. Curtis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Eva E. Qwarnström

65 papers receiving 2.6k citations

Peers

Eva E. Qwarnström
Comparison fields: 5 of 147
  • Molecular Biology 1.1k
  • Immunology 906
  • Cell Biology 670
  • Cancer Research 598
  • Immunology and Allergy 298
Replace Hsiang‐Cheng Chen with:
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Roman Szabo United States
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Marı́a C. Montoya Spain
Kai Schledzewski Germany
Jane Goodall United Kingdom
Hsiang‐Cheng Chen Taiwan View profile →
Citations per field, relative to Eva E. Qwarnström
Eva E. Qwarnström · 1×
Citations per year, relative to Eva E. Qwarnström
Eva E. Qwarnström · 1×

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-authorship network of co-authors of Eva E. Qwarnström

This figure shows the co-authorship network connecting the top 25 collaborators of Eva E. Qwarnström. A scholar is included among the top collaborators of Eva E. Qwarnström based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva E. Qwarnström. Eva E. Qwarnström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 19
2 13
3 12
4 31
5 42
6 97
7 4
8 41
9 9
10 29
11 25
12 10
13 128
14 271
15 22
16 8
17
Modulation of proteoglycan metabolism by human fibroblasts maintained in an endogenous three-dimensional matrix.
8
18 158
19 179
20 15

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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