Tabea Kühl

1.4k citations
4 papers · 905 · 1 hit paper · h-index 4

Impact in

  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 2
    • Genetic Associations and Epidemiology 1
    • Cancer Genomics and Diagnostics 1

Tabea Kühl

4 papers receiving 896 citations

Tabea Kühl's Hit Papers

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes 2018 · 765 citations
7650+2+5Years since publication250500750

Peers

Tabea Kühl
Comparison fields: 5 of 81
  • Genetics 504
  • Cancer Research 145
  • Oncology 180
  • Pathology and Forensic Medicine 83
  • Molecular Biology 191
Replace Víctor M. Muñoz-Garzón with:
Víctor M. Muñoz-Garzón Spain
Clara Pérez-Barrios Spain
Yiwey Shieh United States
Steve N. Thibodeau United States
Lyn Schofield Australia
Ilana B. Solomon United States
Ines Nevelsteen United Kingdom
Derick C. Hoskinson United States
Ingrid Slade United Kingdom
Federik Marme Germany
Tabea Kühl relative to Víctor M. Muñoz-Garzón Spain Víctor M. Muñoz-Garzón's profile →
Citations per field
00.5×1.5×
Víctor M. Muñoz-Garzón · 1×
Citations per year

Countries citing papers authored by Tabea Kühl

Since Specialization
Citations

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

Fields of papers citing papers by Tabea Kühl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Tabea Kühl, 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 Tabea Kühl Line = papers co-authored together Tabea Kühl links everyone, so they are left out of the graph.

All Works

About Tabea Kühl

Tabea Kühl is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Insect Science, having authored 4 papers that have together received 905 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Genetic factors in colorectal cancer (1 paper), Genetic Associations and Epidemiology (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Genetics (504 citations), Cancer Research (145 citations), Oncology (180 citations), Pathology and Forensic Medicine (83 citations) and Molecular Biology (191 citations). Tabea Kühl has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Heiko Becher, Kathrin Thöne, Jenny C. Chang-Claude, Martina E. Schmidt, Audrey Y. Jung, Sabine Behrens and Nadia Obi. Their work appears in journals such as Nature Communications, Brain Behavior and Immunity, British Journal of Cancer and The American Journal of Human Genetics.

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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