Raphaela Schwentner

1.5k citations
30 papers · 1.0k · h-index 19

Impact in

Papers in

    • RNA Research and Splicing 8
    • RNA modifications and cancer 7
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Histiocytic Disorders and Treatments 9

Raphaela Schwentner

29 papers receiving 1.0k citations

Peers

Raphaela Schwentner
Comparison fields: 5 of 71
  • Cancer Research 248
  • Pulmonary and Respiratory Medicine 324
  • Geriatrics and Gerontology 26
  • Oncology 195
  • Physiology 186
Replace Gunhild Jug with:
Gunhild Jug Austria
Gaëlle Bougeard France
Josef Pichler Austria
Ana M. Borras United States
Nuno R. dos Santos Portugal
Christina Matheny United States
Rosa‐Ana Risques Spain
Reika Iwakawa Japan
Genta Sawada Japan
Ramaswamy Anbazhagan United States
Raphaela Schwentner relative to Gunhild Jug Austria Gunhild Jug's profile →
Citations per field
00.5×6.5×
Gunhild Jug · 1×
Citations per year

Countries citing papers authored by Raphaela Schwentner

Since Specialization
Citations

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

Fields of papers citing papers by Raphaela Schwentner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201780
3 200880
4 201177
5 201269
6 202061
7 201058
8 201457
9 201451
10 201741
11 201340
12 201938
13 202137
14 201535
15 201333
16 201727
17 201827
18 201721
19 201819
20 201818

About Raphaela Schwentner

Raphaela Schwentner is a scholar working on Molecular Biology, Physiology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (9 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Mast cells and histamine (4 papers), interferon and immune responses (3 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (248 citations), Pulmonary and Respiratory Medicine (324 citations), Geriatrics and Gerontology (26 citations), Oncology (195 citations) and Physiology (186 citations). Raphaela Schwentner has collaborated with scholars based in Austria, United States and Slovakia. Frequent co-authors include Heinrich Kovar, Maximilian Kauer, Gunhild Jug, Dave N.T. Aryee, Caroline Hutter, Jozef Ban, D N T Aryee, Paul S. Meltzer, Max Kauer and Reinhard Kofler. Their work appears in journals such as Cancer Research, Oncotarget, Blood, Oncogene and Blood Advances.

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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