Thomas Bee

784 citations
11 papers · 619 · h-index 11

Impact in

    • Zebrafish Biomedical Research Applications
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 3
    • Pluripotent Stem Cells Research 2
    • TGF-β signaling in diseases 1
    • Sphingolipid Metabolism and Signaling 1
    • Zebrafish Biomedical Research Applications 6

Thomas Bee

11 papers receiving 614 citations

Peers

Thomas Bee
Comparison fields: 5 of 54
  • Cell Biology 247
  • Hematology 152
  • Immunology 145
  • Molecular Biology 466
  • Developmental Neuroscience 18
Replace Anna Liakhovitskaia with:
Anna Liakhovitskaia United Kingdom
Peter G. Kim United States
Anthony DiBiase United States
Namiko Yamashita Japan
Tetsuhiro Fujimoto Japan
Guilherme Costa United Kingdom
Elli Marinopoulou United Kingdom
Matthew D. Keefe United States
Fenghua Zhen Hong Kong
Amir Pozner United States
Thomas Bee relative to Anna Liakhovitskaia United Kingdom Anna Liakhovitskaia's profile →
Citations per field
00.5×1.7×
Anna Liakhovitskaia · 1×
Citations per year

Countries citing papers authored by Thomas Bee

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013145
2 2005143
3 201180
4 201057
5 200952
6 200951
7 200926
8
Repression of cyclin D1 as a target for germ cell tumors.
200723
9 201117
10 201013
11 201512

About Thomas Bee

Thomas Bee is a scholar working on Molecular Biology, Cell Biology, Hematology, Immunology and Neurology, having authored 11 papers that have together received 619 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (6 papers), Epigenetics and DNA Methylation (3 papers), Immune cells in cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), Pluripotent Stem Cells Research (2 papers), TGF-β signaling in diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Cell Biology (247 citations), Hematology (152 citations), Immunology (145 citations), Molecular Biology (466 citations) and Developmental Neuroscience (18 citations). Thomas Bee has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Marella de Bruijn, Gemma Swiers, Sandra Wilde, Noel J. Buckley, Berthold Göttgens, Yuh-Man Sun, Jim Deuchars, Rory Johnson, Nikolai D. Belyaev and Pik-Shan Li. Their work appears in journals such as Molecular and Cellular Biology, Blood, Molecular Biology of the Cell, Genes & Development and Nature Communications.

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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