Tania Witte

847 citations
16 papers · 476 · h-index 11

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
    • Ubiquitin and proteasome pathways 1
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 4

Tania Witte

16 papers receiving 460 citations

Peers

Tania Witte
Comparison fields: 5 of 58
  • Cancer Research 147
  • Hematology 103
  • Genetics 51
  • Molecular Biology 274
  • Pollution 47
Replace Hiroshi Suzuki with:
Hiroshi Suzuki Japan
Yocheved L. Schindler United States
Marek Borský Czechia
Sonia Lastraioli Italy
Eva Mark-Vendel Sweden
C-L Yu Taiwan
Juan Albanell United States
Li Sl China
Tiffany Tran United States
Magdalena Gryzik Italy
Tania Witte relative to Hiroshi Suzuki Japan Hiroshi Suzuki's profile →
Citations per field
00.5×9.4×
Hiroshi Suzuki · 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

16 of 16 papers shown
#Work
1 2014123
2 200769
3 201167
4 201950
5 202230
6 201429
7 201627
8 202219
9 201619
10 200918
11 202311
12 20226
13 20244
14 20052
15 20101
16
Drag Kings. Mit Bartkleber gegen das Patriarchat
20071

About Tania Witte

Tania Witte is a scholar working on Molecular Biology, Cancer Research, Hematology, Virology and Pollution, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (4 papers), MicroRNA in disease regulation (4 papers), Pesticide and Herbicide Environmental Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Prostate Cancer Treatment and Research (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Cancer Research (147 citations), Hematology (103 citations), Genetics (51 citations), Molecular Biology (274 citations) and Pollution (47 citations). Tania Witte has collaborated with scholars based in Germany, Ecuador and Switzerland. Frequent co-authors include Christoph Plass, Clarissa Gerhäuser, Aoife Ward, Sarah Schott, César Paz‐y‐Miño, Marı́a Eugenia Sánchez, María José Muñoz, Paola Leone, Christian Flotho and Charlotte M. Niemeyer. Their work appears in journals such as Blood, Epigenetics, British Journal of Cancer, Clinical Epigenetics and Archives of Gynecology and Obstetrics.

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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