Holger Weishaupt

1.4k total citations
26 papers, 571 citations indexed

About

Holger Weishaupt is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Holger Weishaupt has authored 26 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Holger Weishaupt's work include Glioma Diagnosis and Treatment (10 papers), Epigenetics and DNA Methylation (7 papers) and Protein Degradation and Inhibitors (5 papers). Holger Weishaupt is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Epigenetics and DNA Methylation (7 papers) and Protein Degradation and Inhibitors (5 papers). Holger Weishaupt collaborates with scholars based in Sweden, United States and United Kingdom. Holger Weishaupt's co-authors include Fredrik J. Swartling, Joanne L. Attema, Mikael Sigvardsson, Anders Sundström, Sara Bolin, Sonja Hutter, Graham Anderson, Andrea J. White, William W. Agace and Knut Kotarsky and has published in prestigious journals such as Nature Communications, The EMBO Journal and Blood.

In The Last Decade

Holger Weishaupt

24 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Holger Weishaupt Sweden 13 393 142 116 94 90 26 571
Emilio Cosimo United Kingdom 15 306 0.8× 158 1.1× 133 1.1× 133 1.4× 115 1.3× 21 595
Lauren A. Solomon Canada 14 260 0.7× 91 0.6× 121 1.0× 62 0.7× 59 0.7× 22 483
Barbara Costa Germany 13 228 0.6× 81 0.6× 84 0.7× 134 1.4× 60 0.7× 15 530
Juan M. Funes United Kingdom 10 447 1.1× 87 0.6× 104 0.9× 198 2.1× 196 2.2× 15 686
Cassin Kimmel Williams United States 6 498 1.3× 52 0.4× 162 1.4× 156 1.7× 145 1.6× 7 771
Gilbert J. Rahme United States 14 333 0.8× 108 0.8× 88 0.8× 98 1.0× 121 1.3× 20 501
Valentina Pettirossi Italy 13 444 1.1× 194 1.4× 113 1.0× 126 1.3× 50 0.6× 19 680
Sara Bolin United States 10 225 0.6× 90 0.6× 135 1.2× 70 0.7× 61 0.7× 13 411
Mansi Vasishtha United States 6 213 0.5× 134 0.9× 92 0.8× 201 2.1× 72 0.8× 6 517
Kanae Mitsunaga Japan 13 746 1.9× 56 0.4× 53 0.5× 108 1.1× 84 0.9× 16 908

Countries citing papers authored by Holger Weishaupt

Since Specialization
Citations

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

Fields of papers citing papers by Holger Weishaupt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Weishaupt

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

All Works

20 of 20 papers shown
1.
Weishaupt, Holger, Justinas Besusparis, Cleo‐Aron Weis, et al.. (2025). Unsupervised learning for labeling global glomerulosclerosis. Computers in Biology and Medicine. 196(Pt B). 110719–110719.
2.
Weishaupt, Holger, Miao Zhao, Stacey Richardson, et al.. (2023). ARF suppression by MYC but not MYCN confers increased malignancy of aggressive pediatric brain tumors. Nature Communications. 14(1). 1221–1221. 10 indexed citations
3.
Zhao, Miao, Ramy Elgendy, Milena Doroszko, et al.. (2022). MEDB-55. Single-cell transcriptomics reveals progenitor cells expressing a photoreceptor program as putative cells origin of MYC-driven Group 3 Medulloblastoma. Neuro-Oncology. 24(Supplement_1). i119–i119.
4.
Studham, Matthew, Andreas Tjärnberg, Holger Weishaupt, et al.. (2020). Perturbation-based gene regulatory network inference to unravel oncogenic mechanisms. Scientific Reports. 10(1). 14149–14149. 7 indexed citations
5.
Bengtsson, Johan, Sara Bolin, Bengt Westermark, et al.. (2019). BET and Aurora Kinase A inhibitors synergize against MYCN-positive human glioblastoma cells. Cell Death and Disease. 10(12). 881–881. 25 indexed citations
6.
Hutter, Sonja, Anders Sundström, Jignesh Tailor, et al.. (2019). Humanized Stem Cell Models of Pediatric Medulloblastoma Reveal an Oct4/mTOR Axis that Promotes Malignancy. Cell stem cell. 25(6). 855–870.e11. 47 indexed citations
7.
Bolin, Sara, C. Persson, Anders Sundström, et al.. (2018). Combined BET bromodomain and CDK2 inhibition in MYC-driven medulloblastoma. Oncogene. 37(21). 2850–2862. 62 indexed citations
8.
Weishaupt, Holger, et al.. (2018). MBRS-42. GMYC: A NOVEL INDUCIBLE TRANSGENIC MODEL OF GROUP 3 MEDULLOBLASTOMA. Neuro-Oncology. 20(suppl_2). i137–i137. 1 indexed citations
9.
Roy, Ananya, Sylwia Libard, Holger Weishaupt, et al.. (2017). Mast Cell Infiltration in Human Brain Metastases Modulates the Microenvironment and Contributes to the Metastatic Potential. Frontiers in Oncology. 7. 115–115. 10 indexed citations
10.
Hutter, Sonja, Sara Bolin, Holger Weishaupt, & Fredrik J. Swartling. (2017). Modeling and Targeting MYC Genes in Childhood Brain Tumors. Genes. 8(4). 107–107. 24 indexed citations
11.
Sreedharan, Smitha, Yuan Xie, Anders Sundström, et al.. (2016). Mouse Models of Pediatric Supratentorial High-grade Glioma Reveal How Cell-of-Origin Influences Tumor Development and Phenotype. Cancer Research. 77(3). 802–812. 16 indexed citations
12.
Rahmanto, Aldwin Suryo, Sara Bolin, Holger Weishaupt, et al.. (2016). FBW7 suppression leads to SOX9 stabilization and increased malignancy in medulloblastoma. The EMBO Journal. 35(20). 2192–2212. 62 indexed citations
14.
Sitnik, Katarzyna, Holger Weishaupt, Heli Uronen‐Hansson, et al.. (2016). Context-Dependent Development of Lymphoid Stroma from Adult CD34+ Adventitial Progenitors. Cell Reports. 14(10). 2375–2388. 66 indexed citations
15.
Bolin, Sara, C. Persson, Anders Sundström, et al.. (2016). Abstract 2473: Combined BET-bromodomain and CDK2 inhibition in MYC-driven medulloblastoma. Cancer Research. 76(14_Supplement). 2473–2473. 3 indexed citations
16.
Savov, V., et al.. (2014). METASTASIS AND TUMOR RECURRENCE FROM RARE SOX9-POSITIVE CELLS IN MYCN-DRIVEN MEDULLOBLASTOMA. Neuro-Oncology. 16(suppl 3). iii28–iii28. 1 indexed citations
17.
Swartling, Fredrik J., et al.. (2014). Deregulated proliferation and differentiation in brain tumors. Cell and Tissue Research. 359(1). 225–254. 27 indexed citations
18.
Savov, V., et al.. (2013). Oncoprotein stabilization in brain tumors. Oncogene. 33(39). 4709–4721. 14 indexed citations
19.
Weishaupt, Holger & Joanne L. Attema. (2010). A Method to Study the Epigenetic Chromatin States of Rare Hematopoietic Stem and Progenitor Cells; MiniChIP–Chip. Biological Procedures Online. 12(1). 1–17. 2 indexed citations
20.
Weishaupt, Holger, Mikael Sigvardsson, & Joanne L. Attema. (2009). Epigenetic chromatin states uniquely define the developmental plasticity of murine hematopoietic stem cells. Blood. 115(2). 247–256. 81 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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