Rigmor Solberg

2.5k citations
57 papers · 2.1k · h-index 26

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Protein Kinase Regulation and GTPase Signaling 5
    • Signaling Pathways in Disease 5
    • Protease and Inhibitor Mechanisms 14

Rigmor Solberg

57 papers receiving 2.1k citations

Peers

Rigmor Solberg
Comparison fields: 5 of 109
  • Immunology 533
  • Microbiology 117
  • Cancer Research 238
  • Molecular Biology 918
  • Oncology 255
Replace Jae Hyang Lim with:
Jae Hyang Lim South Korea
Sung Ouk Kim Canada
Matthew R. Jones United States
Megan N. Ballinger United States
Claudia Wahl Germany
Vincenzo Mitolo Italy
Ulrike Resch Austria
Urban Švajger Slovenia
Kenneth C. Malcolm United States
Giovanna Leoni United States
Rigmor Solberg relative to Jae Hyang Lim South Korea Jae Hyang Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rigmor Solberg

Since Specialization
Citations

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

Fields of papers citing papers by Rigmor Solberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001195
2 2000162
3 1997146
4 1989101
5 199399
6 199898
7
Induction of cytokine production in human T cells and monocytes by highly purified lipoteichoic acid: involvement of Toll-like receptors and CD14.
200284
8 201374
9 201765
10 199164
11 201060
12 200459
13 200155
14 201248
15 199646
16 201645
17 201645
18 199443
19 200140
20 199739

About Rigmor Solberg

Rigmor Solberg is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (14 papers), Peptidase Inhibition and Analysis (9 papers), Immune Response and Inflammation (7 papers), RNA and protein synthesis mechanisms (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Signaling Pathways in Disease (5 papers), Cardiac and Coronary Surgery Techniques (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Immunology (533 citations), Microbiology (117 citations), Cancer Research (238 citations), Molecular Biology (918 citations) and Oncology (255 citations). Rigmor Solberg has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Tore Jahnsen, Ansgar O. Aasen, Kjetil Taskén, P. Jørgensen, Harald Thidemann Johansen, Christoph Thiemermann, Simon J. Foster, Mårten Sandberg, Terje Espevik and Mads H. Haugen. Their work appears in journals such as Genomics, Biochimie, Biochemical and Biophysical Research Communications, PLoS ONE and Infection and Immunity.

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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