T van Agthoven

855 total citations
17 papers, 730 citations indexed

About

T van Agthoven is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, T van Agthoven has authored 17 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Oncology. Recurrent topics in T van Agthoven's work include Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (3 papers) and Cell Adhesion Molecules Research (3 papers). T van Agthoven is often cited by papers focused on Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (3 papers) and Cell Adhesion Molecules Research (3 papers). T van Agthoven collaborates with scholars based in Netherlands, United Kingdom and United States. T van Agthoven's co-authors include Lambert C. J. Dorssers, John A. Foekens, Bob Löwenberg, Mieke Timmermans, Ruud Delwel, Raymond G. Goodwin, A E Namen, K Pouwels, H Hoogerbrugge and S.C. Henzen‐Logmans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Blood.

In The Last Decade

T van Agthoven

17 papers receiving 712 citations

Peers

T van Agthoven
Comparison fields: 5 of 65
  • Molecular Biology 431
  • Oncology 224
  • Genetics 208
  • Cancer Research 133
  • Immunology 124
Replace Robert J. Barndt with:
Robert J. Barndt United States
Archontoula Stoffel United States
Brian Freie United States
Ton van Agthoven Netherlands
Soula Ganiatsas United States
Elizabeth S. Litman United States
Sergei Vatolin United States
Yong Xian United States
Kristen E. Shannon United States
W.J. Gullick United Kingdom
Robert J. Barndt United States View profile →
Citations per field, relative to T van Agthoven
T van Agthoven · 1×
Citations per year, relative to T van Agthoven
T van Agthoven · 1×

Countries citing papers authored by T van Agthoven

Since Specialization
Citations

This map shows the geographic impact of T van Agthoven'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 T van Agthoven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T van Agthoven more than expected).

Fields of papers citing papers by T van Agthoven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T van Agthoven. 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 T van Agthoven. The network helps show where T van Agthoven may publish in the future.

Co-authorship network of co-authors of T van Agthoven

This figure shows the co-authorship network connecting the top 25 collaborators of T van Agthoven. A scholar is included among the top collaborators of T van Agthoven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T van Agthoven. T van Agthoven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 56
2 37
3 98
4 3
5 44
6 10
7
Differential expression of estrogen, progesterone, and epidermal growth factor receptors in normal, benign, and malignant human breast tissues using dual staining immunohistochemistry.
73
8 12
9 56
10 1
11 6
12 13
13 132
14
The human pim-1 gene is not directly activated by the translocation (6;9) in acute nonlymphocytic leukemia.
24
15 94
16 50
17 21

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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