Daniel Schramek

6.9k citations
50 papers · 2.9k indexed · h-index 25
  • Oncology top 5%
    • Cancer-related Molecular Pathways 5
    • Cytokine Signaling Pathways and Interactions 4
    • Cancer Genomics and Diagnostics 6
  • Aging top 5%
    • CRISPR and Genetic Engineering 9
    • Bone Metabolism and Diseases 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Melanoma and MAPK Pathways 4
    • Ubiquitin and proteasome pathways 4
  • Immunology top 10%

Daniel Schramek

50 papers receiving 2.9k citations

Peers

Daniel Schramek
Comparison fields: 5 of 122
  • Oncology 939
  • Cancer Research 483
  • Aging 50
  • Molecular Biology 1.9k
  • Immunology 407
Replace Victor A. Tron with:
Victor A. Tron Canada
Jenő Gyuris United States
Raj Chari United States
Francisco Martı́n Spain
Mariëlle van Gijn Netherlands
William Damsky United States
Molly Kulesz‐Martin United States
Todd W. Ridky United States
Jenny Wu United States
Daniel Schramek relative to Victor A. Tron Canada Victor A. Tron's profile →
Citations per field
00.5×4.4×
Victor A. Tron · 1×
Citations per year

Countries citing papers authored by Daniel Schramek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schramek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20243
4 202411
5 202314
6 20235
7 202051
8 202032
9 20202
10 201785
11 2017227
12 2014212
13
RANK und RANKL - Vom Knochen zum Mammakarzinom
20121
14 201242
15 2011187
16 201146
17 2011111
18 2009245
19 200946
20 200847

About Daniel Schramek

Daniel Schramek is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 50 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Cancer Genomics and Diagnostics (6 papers), Cancer-related Molecular Pathways (5 papers), Bone Metabolism and Diseases (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Melanoma and MAPK Pathways (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Oncology (939 citations), Cancer Research (483 citations) and Aging (50 citations). Daniel Schramek has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Josef Penninger, Verena Sigl, Elaine Fuchs, Reiko Hanada, J. Andrew Pospisilik, Ataman Sendoel, Andreas Leibbrandt, Roger J. Daly, Rama Khokha and Purna A. Joshi. Their work appears in journals such as Nature, Science, Nature Communications, Cancer Research and Cell Reports.

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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