Kai Stoeber

4.6k citations
63 papers · 3.8k indexed · 1 hit paper · h-index 33

Kai Stoeber

62 papers receiving 3.7k citations

Hit Papers

The cell cycle and cancer5452011202620162021100200300400500

Peers

Kai Stoeber
Comparison fields: 5 of 125
  • Cancer Research 746
  • Oncology 1.1k
  • Molecular Biology 2.3k
  • Cell Biology 417
  • Developmental Neuroscience 98
Replace Elena A. Komarova with:
Elena A. Komarova United States
Mitsutoshi Nakamura Japan
Ivano Amelio Italy
Robert R. Langley United States
Diane R. Bielenberg United States
Zdeněk Kolář Czechia
Thomas Kuilman Netherlands
Quentin Liu China
Hyun Goo Woo South Korea
Michiaki Kohno Japan
Kai Stoeber relative to Elena A. Komarova United States Elena A. Komarova's profile →
Citations per field
00.5×1.5×1.9×
Elena A. Komarova · 1×
Citations per year

Countries citing papers authored by Kai Stoeber

Since Specialization
Citations

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

Fields of papers citing papers by Kai Stoeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 201234
3 201029
4 201037
5 200959
6 200928
7 200976
8 20088
9 200836
10 200759
11 200715
12 200735
13 200533
14 200573
15 200565
16 200527
17 2004124
18 200452
19 2002106
20 200198

About Kai Stoeber

Kai Stoeber is a scholar working on Cancer Research, Oncology, Cell Biology, Molecular Biology and Aging, having authored 63 papers that have together received 3.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (21 papers), Cancer-related Molecular Pathways (16 papers), Microtubule and mitosis dynamics (12 papers), Cancer Genomics and Diagnostics (9 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (6 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (746 citations), Oncology (1.1k citations), Molecular Biology (2.3k citations), Cell Biology (417 citations) and Developmental Neuroscience (98 citations). Kai Stoeber has collaborated with scholars based in United Kingdom, United States and Serbia. Frequent co-authors include Gareth Williams, Marco Loddo, Nicholas Coleman, Anthony D. Mills, Thomas Fanshawe, Sarah R. Kingsbury, G. H. Williams, A Toby Prevost, Thea D. Tlsty and A. Freeman. Their work appears in journals such as British Journal of Cancer, Clinical Cancer Research, Journal of Proteome Research, The Journal of Pathology and Neuropathology and Applied Neurobiology.

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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