Michaela Schlederer

4.5k citations
40 papers · 2.0k · h-index 21

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related molecular mechanisms research

Papers in

    • Cytokine Signaling Pathways and Interactions 9
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 3
    • Epigenetics and DNA Methylation 4
    • Ubiquitin and proteasome pathways 3
    • Histone Deacetylase Inhibitors Research 3
    • Glycosylation and Glycoproteins Research 2

Michaela Schlederer

37 papers receiving 2.0k citations

Peers

Michaela Schlederer
Comparison fields: 5 of 106
  • Oncology 712
  • Cancer Research 279
  • Immunology 263
  • Molecular Biology 814
  • Pathology and Forensic Medicine 177
Replace Saila Kauppila with:
Saila Kauppila Finland
Roland Kappler Germany
Li Ren Kong China
Robin C. Muise‐Helmericks United States
Ming Yu United States
Gianna Baroni Italy
Xuesong Wu China
Hengwei Zhang China
Roger Rezzonico France
Michaela Schlederer relative to Saila Kauppila Finland Saila Kauppila's profile →
Citations per field
00.5×1.5×1.8×
Saila Kauppila · 1×
Citations per year

Countries citing papers authored by Michaela Schlederer

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Schlederer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010334
2 2016328
3 2016182
4 2010159
5 2009135
6 201185
7 201373
8 201372
9 201471
10 201762
11 200958
12 201652
13 201546
14 201141
15 201537
16 201037
17 201831
18 201630
19 201225
20 201424

About Michaela Schlederer

Michaela Schlederer is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (9 papers), Epigenetics and DNA Methylation (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Cells and Metastasis (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (712 citations), Cancer Research (279 citations), Immunology (263 citations), Molecular Biology (814 citations) and Pathology and Forensic Medicine (177 citations). Michaela Schlederer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Lukas Kenner, Richard Moriggl, Helmut Dolznig, Markus Hengstschläger, Nina Kramer, Christine Unger, Stefanie Walter, Daniela Unterleuthner, Mira Stadler and Nasser K. Altorki. Their work appears in journals such as Oncotarget, PLoS ONE, Journal of Personalized Medicine, Diabetologia and Cancer Research.

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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