Ruth Schwaninger

1.9k citations
21 papers · 1.5k · h-index 16

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Bone Metabolism and Diseases 3
    • TGF-β signaling in diseases 3
    • Glycosylation and Glycoproteins Research 2
    • Cellular transport and secretion 8
    • Endoplasmic Reticulum Stress and Disease 4

Ruth Schwaninger

21 papers receiving 1.5k citations

Peers

Ruth Schwaninger
Comparison fields: 5 of 83
  • Cell Biology 702
  • Physiology 124
  • Molecular Biology 995
  • Oncology 271
  • Immunology 118
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Citations per field
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Citations per year

Countries citing papers authored by Ruth Schwaninger

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Schwaninger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991344
2 1992187
3 2007158
4 2007153
5 1990116
6 1992106
7 200776
8 199162
9 198651
10 201151
11
Targeting her-2/neu with antirat Neu virosomes for cancer therapy.
200249
12 201443
13 200838
14 200534
15 200417
16 200816
17 200113
18 199012
19 199211
20 19934

About Ruth Schwaninger

Ruth Schwaninger is a scholar working on Molecular Biology, Cell Biology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Bone Metabolism and Diseases (3 papers), TGF-β signaling in diseases (3 papers), Bone health and treatments (3 papers), Pancreatic function and diabetes (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Cell Biology (702 citations), Physiology (124 citations), Molecular Biology (995 citations), Oncology (271 citations) and Immunology (118 citations). Ruth Schwaninger has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include William E. Balch, Helen Plutner, S. Pind, Richard Kahn, Marco Cecchini, Adrienne D. Cox, Channing J. Der, Roya Khosravi‐Far, Antoinette Wetterwald and George N. Thalmann. Their work appears in journals such as American Journal Of Pathology, PLoS ONE, Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology and The Journal of Cell Biology.

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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