Torben Redmer

1.1k citations
15 papers · 690 · h-index 11

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Cancer Cells and Metastasis

Papers in

    • Melanoma and MAPK Pathways 7
    • Histone Deacetylase Inhibitors Research 2
    • Renal and related cancers 2
    • Cancer Cells and Metastasis 5
    • Cutaneous Melanoma Detection and Management 2

Torben Redmer

14 papers receiving 678 citations

Peers

Torben Redmer
Comparison fields: 5 of 78
  • Genetics 83
  • Oncology 195
  • Molecular Biology 438
  • Immunology 105
  • Cancer Research 65
Replace Rui Han with:
Rui Han China
Claudia A. Benavente United States
Gayani Pitiyage United Kingdom
Ali Hassanzadeh Iran
Tianrun Liu China
Dong‐Soo Suh South Korea
Leah M. Cook United States
Michiyo Kodama Japan
Ghmkin Hassan Japan
Momoe Itsumi Japan
Torben Redmer relative to Rui Han China Rui Han's profile →
Citations per field
00.5×1.5×1.9×
Rui Han · 1×
Citations per year

Countries citing papers authored by Torben Redmer

Since Specialization
Citations

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

Fields of papers citing papers by Torben Redmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011242
2 201190
3 201477
4 201259
5 201752
6 201849
7 201730
8 200826
9 202019
10 201518
11 202213
12 20229
13 20245
14 20221
15 20240

About Torben Redmer

Torben Redmer is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 15 papers that have together received 690 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cancer Cells and Metastasis (5 papers), Immunotherapy and Immune Responses (4 papers), Brain Metastases and Treatment (3 papers), Mesenchymal stem cell research (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Genetics (83 citations), Oncology (195 citations), Molecular Biology (438 citations), Immunology (105 citations) and Cancer Research (65 citations). Torben Redmer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Daniel Besser, Sebastian Diecke, Tamara Grigoryan, Walter Birchmeier, Reinhold Schäfer, Yvonne Welte, Christian Regenbrecht, Josefine Radke, Johannes Lemke and Alexander Arlt. Their work appears in journals such as Scientific Reports, Oncogenesis, Nature Communications, Acta Neuropathologica and Journal of Investigative Dermatology.

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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