Daniela Lötsch

3.4k citations
46 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

    • Glioma Diagnosis and Treatment 17
    • Cancer Genomics and Diagnostics 4
    • Cancer, Hypoxia, and Metabolism 3

Daniela Lötsch

46 papers receiving 2.4k citations

Daniela Lötsch's Hit Papers

New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs 2016 · 716 citations
7160+3+6Years since publication200400600

Peers

Daniela Lötsch
Comparison fields: 5 of 91
  • Genetics 980
  • Cancer Research 436
  • Internal Medicine 91
  • Neurology 334
  • Oncology 416
Replace Manuela Caroli with:
Manuela Caroli Italy
Teri Nguyen Kreisl United States
Shota Tanaka Japan
Magalie Hilton Switzerland
Dana Michaela Cernea Romania
Sean Aaron Grimm United States
Martin Misch Germany
Lyndon Kim United States
Oscar Fernandez Hidalgo Spain
Clemens Seidel Germany
Daniela Lötsch relative to Manuela Caroli Italy Manuela Caroli's profile →
Citations per field
00.5×1.5×2×2.3×
Manuela Caroli · 1×
Citations per year

Countries citing papers authored by Daniela Lötsch

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lötsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs
Hit paper breakdown →
2016716
2 2019285
3 2017198
4 2018114
5 2020112
6 2015111
7 200973
8 201562
9 201358
10 201655
11 201254
12 201252
13 201348
14 201643
15 201831
16 202030
17 201730
18 202330
19 201229
20 201928

About Daniela Lötsch

Daniela Lötsch is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers), Neuroblastoma Research and Treatments (3 papers), Fibroblast Growth Factor Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (980 citations), Cancer Research (436 citations), Internal Medicine (91 citations), Neurology (334 citations) and Oncology (416 citations). Daniela Lötsch has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Walter Berger, Sabine Spiegl‐Kreinecker, Christine Pirker, Serge Weis, Josef Pichler, Gerald Webersinke, Sushilla van Schoonhoven, Matthias Preusser, Christine Marosi and M. Micksche. Their work appears in journals such as Neuro-Oncology, Oncotarget, Cancers, Acta Neuropathologica and Cancer Cell.

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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