Verena Staedtke

2.8k citations
48 papers · 1.6k · h-index 23

Impact in

    • Cancer Research and Treatments
  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

Verena Staedtke

46 papers receiving 1.6k citations

Peers

Verena Staedtke
Comparison fields: 5 of 112
  • Biotechnology 199
  • Genetics 214
  • Neurology 225
  • Cancer Research 160
  • Oncology 264
Replace Ren-Yuan Bai with:
Ren-Yuan Bai United States
Joo Hyun Kang South Korea
Jelena Vider United States
Yingnan Zhang China
Weiping Jiang United States
Paul J. Yazaki United States
Daniela Bumbaca United States
Hagit Dafni Israel
Johannes T. Wessels Germany
Kenji Sugita Japan
Verena Staedtke relative to Ren-Yuan Bai United States Ren-Yuan Bai's profile →
Citations per field
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Ren-Yuan Bai · 1×
Citations per year

Countries citing papers authored by Verena Staedtke

Since Specialization
Citations

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

Fields of papers citing papers by Verena Staedtke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018191
2 2011157
3 2011109
4 201798
5 201695
6 202087
7 201474
8 201570
9 201570
10 201662
11 201338
12 201738
13 201338
14 200937
15 201636
16 201136
17 201735
18 201232
19 201932
20 202031

About Verena Staedtke

Verena Staedtke is a scholar working on Neurology, Molecular Biology, Biotechnology, Pulmonary and Respiratory Medicine and Genetics, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (17 papers), Cancer Research and Treatments (9 papers), Neuroblastoma Research and Treatments (9 papers), Glioma Diagnosis and Treatment (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Nanoplatforms for cancer theranostics (5 papers), Virus-based gene therapy research (5 papers) and Lanthanide and Transition Metal Complexes (5 papers). The work is most often cited by research in Biotechnology (199 citations), Genetics (214 citations), Neurology (225 citations), Cancer Research (160 citations) and Oncology (264 citations). Verena Staedtke has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ren-Yuan Bai, Gregory J. Riggins, Gregory J. Riggins, Shibin Zhou, Gary L. Gallia, Ren-Yuan Bai, Bert Vogelstein, Kenneth W. Kinzler, Colette Aprhys and Nicholas J. Roberts. Their work appears in journals such as Neuro-Oncology, Oncotarget, Neuro-Oncology Advances, Magnetic Resonance in Medicine 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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