Daniel Senfter

714 citations
24 papers · 557 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 9
    • MicroRNA in disease regulation 6
    • Cancer Genomics and Diagnostics 2

Daniel Senfter

24 papers receiving 554 citations

Peers

Daniel Senfter
Comparison fields: 5 of 59
  • Cancer Research 139
  • Genetics 66
  • Molecular Biology 241
  • Oncology 75
  • Pharmacology 25
Replace Takahiro Domoto with:
Takahiro Domoto Japan
Divya Kesanakurti United States
Paul S. Hole United Kingdom
Pablo Lorenzano Menna Argentina
Mahlet B. Abera United States
Kristell Oizel France
Matheus Molina Silva Brazil
Hecun Zou China
Christopher S. Lyle United States
Daniel Senfter relative to Takahiro Domoto Japan Takahiro Domoto's profile →
Citations per field
00.5×2×3.1×
Takahiro Domoto · 1×
Citations per year

Countries citing papers authored by Daniel Senfter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Senfter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201571
2 201671
3 201864
4 201651
5 201649
6 201535
7 201631
8 201929
9 202123
10 202522
11 201721
12 201820
13 202011
14 202311
15 20249
16 20259
17 20178
18 20218
19 20224
20 20234

About Daniel Senfter

Daniel Senfter is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Neurology, having authored 24 papers that have together received 557 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (6 papers), Lymphatic System and Diseases (2 papers), Cancer Cells and Metastasis (2 papers), Barrier Structure and Function Studies (2 papers), Synthesis and biological activity (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (139 citations), Genetics (66 citations), Molecular Biology (241 citations), Oncology (75 citations) and Pharmacology (25 citations). Daniel Senfter has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Robert M. Mader, Georg Krupitza, Sibylle Madlener, Nicole Huttary, Silvio Holzner, Walter Rudolf Jäger, Helmut Dolznig, Gerhard Jungwirth, Okay Saydam and Thomas Ströbel. Their work appears in journals such as Acta Neuropathologica, Nature Cancer, Pediatric Blood & Cancer, Oncotarget and Materials.

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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