Tania Witte

751 citations
14 papers · 396 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 2
    • Circular RNAs in diseases 2
    • Advanced biosensing and bioanalysis techniques 1
    • MicroRNA in disease regulation 4
    • Cancer Genomics and Diagnostics 4
    • Cancer-related molecular mechanisms research 3

Tania Witte

14 papers receiving 390 citations

Peers

Tania Witte
Comparison fields: 5 of 50
  • Cancer Research 143
  • Hematology 104
  • Genetics 53
  • Molecular Biology 316
  • Oncology 37
Replace Tatjana Walther with:
Tatjana Walther Germany
Amanda Dixon‐McIver United Kingdom
Guangshuai Jia China
Adéla Berková Czechia
Lurdes Torres Portugal
Susanne Beck Germany
Sheng‐Chieh Chou Taiwan
Gurveen Saberwal United States
Michela Boi Switzerland
Martina Fröhlich Germany
Tania Witte relative to Tatjana Walther Germany Tatjana Walther's profile →
Citations per field
00.5×10×20×30×43×
Tatjana Walther · 1×
Citations per year

Countries citing papers authored by Tania Witte

Since Specialization
Citations

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

Fields of papers citing papers by Tania Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014120
2 201167
3 201949
4 201429
5 202228
6 201627
7 201619
8 200918
9 202217
10 202310
11 20226
12 20243
13 20052
14 20101

About Tania Witte

Tania Witte is a scholar working on Molecular Biology, Cancer Research, Hematology, Virology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), MicroRNA in disease regulation (4 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (143 citations), Hematology (104 citations), Genetics (53 citations), Molecular Biology (316 citations) and Oncology (37 citations). Tania Witte has collaborated with scholars based in Germany, Belgium and Czechia. Frequent co-authors include Christoph Plass, Clarissa Gerhäuser, Aoife Ward, Sarah Schott, Charlotte M. Niemeyer, Christian Flotho, Peter Nöllke, Rainer Claus, Kendra K. Maaß and Barbara De Moerloose. Their work appears in journals such as Blood, British Journal of Cancer, Epigenetics, Clinical Epigenetics and Scientific 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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