Ruth Schwaninger

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

Impact in

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

Papers in

Ruth Schwaninger

20 papers receiving 1.5k citations

Peers

Ruth Schwaninger
Comparison fields: 5 of 84
  • Cell Biology 705
  • Physiology 125
  • Molecular Biology 1.0k
  • Oncology 297
  • Immunology 125
Replace Iñigo Martínez with:
Iñigo Martínez Norway
Chuan-Kui Jiang United States
Stefan Tomiuk Germany
Vigdis Sørensen Norway
Viola Nähse Norway
Kerstin McKeehan United States
Samrat T. Kundu United States
Laurence Covassin United States
Marinella Callow Australia
Georg F. Vogel Austria
Ruth Schwaninger relative to Iñigo Martínez Norway Iñigo Martínez's profile →
Citations per field
00.5×3.0×
Iñigo Martínez · 1×
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-authorship network

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
#Work
1 201443
2 201151
3 200815
4 2007157
5 200776
6 2007152
7 200534
8 200417
9
Targeting her-2/neu with antirat Neu virosomes for cancer therapy.
200249
10 200113
11 19934
12 199211
13 1992105
14 1992187
15 1991344
16 199162
17 199012
18 1990116
19 19900
20 198651

About Ruth Schwaninger

Ruth Schwaninger is a scholar working on Cell Biology, Orthopedics and Sports Medicine, Physiology, Molecular Biology and Oncology, 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 health and treatments (3 papers), TGF-β signaling in diseases (3 papers), Pancreatic function and diabetes (3 papers), Bone Metabolism and Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Cell Biology (705 citations), Physiology (125 citations), Molecular Biology (1.0k citations), Oncology (297 citations) and Immunology (125 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, Channing J. Der, Roya Khosravi‐Far, Adrienne D. Cox, George N. Thalmann and Antoinette Wetterwald. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, American Journal Of Pathology, Methods in enzymology on CD-ROM/Methods in enzymology and PLoS ONE.

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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