Kai Treuner

1.0k citations
41 papers · 719 indexed · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 20
    • Cancer Genomics and Diagnostics 4
    • Estrogen and related hormone effects 15

Kai Treuner

39 papers receiving 712 citations

Peers

Kai Treuner
Comparison fields: 5 of 65
  • Cancer Research 307
  • Oncology 238
  • Genetics 218
  • Molecular Biology 397
  • Developmental Neuroscience 22
Replace Jikui Guan with:
Jikui Guan Sweden
John Y.H. Kim United States
Gilad Landan United States
Hungjiun Liaw Taiwan
Filipe V. Jacinto Spain
Anne Laugesen Denmark
Tomoatsu Hayashi Japan
Olivia Corradin United States
Sandra Segura‐Bayona Spain
Laurent Coutte France
Kai Treuner relative to Jikui Guan Sweden Jikui Guan's profile →
Citations per field
00.5×3.7×
Jikui Guan · 1×
Citations per year

Countries citing papers authored by Kai Treuner

Since Specialization
Citations

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

Fields of papers citing papers by Kai Treuner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019125
2 200379
3 199678
4 202073
5 200753
6 200450
7 199945
8 199934
9 200428
10 199826
11 202225
12 199618
13 202116
14 202113
15 20247
16 20197
17 20225
18 20225
19 20243
20 20183

About Kai Treuner

Kai Treuner is a scholar working on Cancer Research, Genetics, Oncology, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 41 papers that have together received 719 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Estrogen and related hormone effects (15 papers), Advanced Breast Cancer Therapies (14 papers), DNA Repair Mechanisms (6 papers), Cancer Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Risks and Factors (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (307 citations), Oncology (238 citations), Genetics (218 citations), Molecular Biology (397 citations) and Developmental Neuroscience (22 citations). Kai Treuner has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rolf Knippers, Carrolee Barlow, Catherine A. Schnabel, U. Ramsperger, Dennis C. Sgroi, Ranelle Salunga, Elena F. Brachtel, Sarah Pirrie, Tammy Piper and John M.S. Bartlett. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Annals of Oncology, Cancer Research and Journal of Thoracic Oncology.

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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