Diederik van Bodegom

1.3k total citations
10 papers, 360 citations indexed

About

Diederik van Bodegom is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Diederik van Bodegom has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Diederik van Bodegom's work include Hedgehog Signaling Pathway Studies (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Galectins and Cancer Biology (3 papers). Diederik van Bodegom is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Galectins and Cancer Biology (3 papers). Diederik van Bodegom collaborates with scholars based in United States, Germany and India. Diederik van Bodegom's co-authors include David M. Weinstock, Chaitali Dutta, Anthony Letai, Joan Montero, Akinori Yoda, Jun Zhong, Akhilesh Pandey, Jeffrey Tyner, Liat Bird and Oliver Weigert and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Diederik van Bodegom

10 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diederik van Bodegom United States 7 185 101 57 47 42 10 360
Qi Zhu China 12 245 1.3× 55 0.5× 82 1.4× 31 0.7× 31 0.7× 35 450
Francesco Turturro United States 13 245 1.3× 132 1.3× 83 1.5× 35 0.7× 110 2.6× 33 525
Duygu Derin Türkiye 12 178 1.0× 181 1.8× 60 1.1× 31 0.7× 28 0.7× 24 424
S. Majewski Poland 8 207 1.1× 69 0.7× 46 0.8× 72 1.5× 81 1.9× 16 352
Barbara Brandt-Nedelev Germany 4 153 0.8× 171 1.7× 79 1.4× 48 1.0× 11 0.3× 6 550
Yasmina Bauer Switzerland 10 252 1.4× 51 0.5× 44 0.8× 17 0.4× 67 1.6× 12 589
Namratha Sheshadri United States 8 159 0.9× 94 0.9× 81 1.4× 16 0.3× 25 0.6× 10 395
Yang Brooks United States 7 337 1.8× 160 1.6× 87 1.5× 37 0.8× 26 0.6× 8 627
Sally A. Nicholas United Kingdom 10 270 1.5× 51 0.5× 124 2.2× 37 0.8× 18 0.4× 12 426
Yoshihiro Umebayashi Japan 10 241 1.3× 97 1.0× 34 0.6× 27 0.6× 36 0.9× 33 425

Countries citing papers authored by Diederik van Bodegom

Since Specialization
Citations

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

Fields of papers citing papers by Diederik van Bodegom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diederik van Bodegom

This figure shows the co-authorship network connecting the top 25 collaborators of Diederik van Bodegom. A scholar is included among the top collaborators of Diederik van Bodegom 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 Diederik van Bodegom. Diederik van Bodegom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Jacobson, Caron A., Nadja Kopp, Jacob V. Layer, et al.. (2016). HSP90 inhibition overcomes ibrutinib resistance in mantle cell lymphoma. Blood. 128(21). 2517–2526. 30 indexed citations
2.
Zhong, Jun, Jyoti Sharma, Rajesh Raju, et al.. (2014). TSLP signaling pathway map: a platform for analysis of TSLP-mediated signaling. Database. 2014(0). bau007–bau007. 75 indexed citations
3.
Kopp, Nadja, Sarah Haebe, Diederik van Bodegom, et al.. (2014). Newer-Generation HSP90 Inhibitors Can Overcome Ibrutinib Resistance and Suppress Proliferation in Human Mantle Cell Lymphoma in Vitro and in Vivo. Blood. 124(21). 1686–1686. 4 indexed citations
4.
Montero, Joan, Chaitali Dutta, Diederik van Bodegom, David M. Weinstock, & Anthony Letai. (2013). p53 regulates a non-apoptotic death induced by ROS. Cell Death and Differentiation. 20(11). 1465–1474. 116 indexed citations
5.
Dutta, Chaitali, Tovah A. Day, Nadja Kopp, et al.. (2012). BCL2 Suppresses PARP1 Function and Nonapoptotic Cell Death. Cancer Research. 72(16). 4193–4203. 45 indexed citations
7.
Bodegom, Diederik van, Jun Zhong, Nadja Kopp, et al.. (2012). Differences in signaling through the B-cell leukemia oncoprotein CRLF2 in response to TSLP and through mutant JAK2. Blood. 120(14). 2853–2863. 34 indexed citations
8.
Bodegom, Diederik van, et al.. (2010). Mechanisms of p53-mediated repression of the human polycystic kidney disease-1 promoter. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1799(7). 502–509. 16 indexed citations
9.
Bodegom, Diederik van, Zubaida Saifudeen, Susana Dipp, et al.. (2006). The Polycystic Kidney Disease-1 Gene Is a Target for p53-mediated Transcriptional Repression. Journal of Biological Chemistry. 281(42). 31234–31244. 36 indexed citations
10.
Bodegom, Diederik van, Zubaida Saifudeen, Susana Dipp, et al.. (2006). The Polycystic Kidney Disease-1 Gene Is a Target for p53-mediated Transcriptional Repression. Journal of Biological Chemistry. 281(42). 31234–31244. 3 indexed citations

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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