Daniel Haag

1.4k total citations
15 papers, 791 citations indexed

About

Daniel Haag is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Daniel Haag has authored 15 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Daniel Haag's work include Pluripotent Stem Cells Research (4 papers), Glioma Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Daniel Haag is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Glioma Diagnosis and Treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). Daniel Haag collaborates with scholars based in Germany, United States and Israel. Daniel Haag's co-authors include Marius Wernig, Soham Chanda, Thomas C. Südhof, Cheen Euong Ang, Koji Tanabe, Meinhard Hahn, Moritz Mall, Peter Angel, Jochen Heß and Astrid Riehl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Cancer Cell.

In The Last Decade

Daniel Haag

14 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Haag Germany 12 572 141 107 95 90 15 791
Arianna Baggiolini Switzerland 12 536 0.9× 152 1.1× 79 0.7× 89 0.9× 118 1.3× 18 764
Elizabeth E. Crouch United States 12 589 1.0× 100 0.7× 105 1.0× 86 0.9× 198 2.2× 20 976
Yiyan Zheng China 18 743 1.3× 164 1.2× 79 0.7× 140 1.5× 147 1.6× 32 1.2k
Zhicheng Mo United States 9 479 0.8× 147 1.0× 113 1.1× 59 0.6× 159 1.8× 12 856
Oliver Hummel Germany 14 664 1.2× 62 0.4× 61 0.6× 59 0.6× 43 0.5× 20 811
Oz Pomp United States 15 441 0.8× 97 0.7× 53 0.5× 37 0.4× 82 0.9× 18 638
Maria F. Pazyra‐Murphy United States 18 591 1.0× 221 1.6× 124 1.2× 50 0.5× 81 0.9× 26 881
Sarah Decembrini Switzerland 14 621 1.1× 238 1.7× 41 0.4× 107 1.1× 57 0.6× 18 777
Dáša Doležalová Czechia 9 442 0.8× 82 0.6× 33 0.3× 116 1.2× 86 1.0× 10 573
Cathy Browne United Kingdom 12 499 0.9× 117 0.8× 60 0.6× 30 0.3× 31 0.3× 18 863

Countries citing papers authored by Daniel Haag

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Haag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Haag

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

All Works

15 of 15 papers shown
1.
Haag, Daniel, et al.. (2022). MEDB-22. iPSC-derived cerebellar organoid model for hereditary genetic predisposition in SHH-medulloblastoma. Neuro-Oncology. 24(Supplement_1). i109–i109.
2.
Haag, Daniel, Norman Mack, Jessica Clark, et al.. (2021). H3.3-K27M drives neural stem cell-specific gliomagenesis in a human iPSC-derived model. Cancer Cell. 39(3). 407–422.e13. 65 indexed citations
3.
Wallace, Kathleen, Moritz Mall, William R. Mundy, et al.. (2021). Comparison of Acute Effects of Neurotoxic Compounds on Network Activity in Human and Rodent Neural Cultures. Toxicological Sciences. 180(2). 295–312. 19 indexed citations
4.
Kolb, Thorsten, John Wong, Anna Jauch, et al.. (2020). A versatile system to introduce clusters of genomic double‐strand breaks in large cell populations. Genes Chromosomes and Cancer. 60(5). 303–313. 2 indexed citations
5.
Chanda, Soham, Cheen Euong Ang, Qian Yi Lee, et al.. (2019). Direct Reprogramming of Human Neurons Identifies MARCKSL1 as a Pathogenic Mediator of Valproic Acid-Induced Teratogenicity. Cell stem cell. 25(1). 103–119.e6. 36 indexed citations
6.
Schramm, Kathrin, Murat Iskar, Natalie Jäger, et al.. (2019). DECIPHER pooled shRNA library screen identifies PP2A and FGFR signaling as potential therapeutic targets for diffuse intrinsic pontine gliomas. Neuro-Oncology. 21(7). 867–877. 24 indexed citations
7.
Tanabe, Koji, Cheen Euong Ang, Soham Chanda, et al.. (2018). Transdifferentiation of human adult peripheral blood T cells into neurons. Proceedings of the National Academy of Sciences. 115(25). 6470–6475. 72 indexed citations
8.
Yang, Nan, Soham Chanda, Samuele Marro, et al.. (2017). Generation of pure GABAergic neurons by transcription factor programming. Nature Methods. 14(6). 621–628. 229 indexed citations
9.
Chao, Mark P., Andrew J. Gentles, Feng Lan, et al.. (2017). Human AML-iPSCs Reacquire Leukemic Properties after Differentiation and Model Clonal Variation of Disease. Cell stem cell. 20(3). 329–344.e7. 90 indexed citations
10.
Tanabe, Koji, Daniel Haag, & Marius Wernig. (2015). Direct somatic lineage conversion. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1680). 20140368–20140368. 24 indexed citations
11.
Wu, Hui, Daniel Haag, Thomas Muley, et al.. (2012). Tumor–microenvironment interactions studied by zonal transcriptional profiling of squamous cell lung carcinoma. Genes Chromosomes and Cancer. 52(3). 250–264. 11 indexed citations
12.
Shahmoradgoli, Maria, Yasser Riazalhosseini, Daniel Haag, et al.. (2012). Protein phosphatase 1, regulatory subunit 15B is a survival factor for ERα‐positive breast cancer. International Journal of Cancer. 132(11). 2714–2719. 9 indexed citations
13.
Haag, Daniel, Daniela Karra, Grischa Toedt, et al.. (2012). Nos2 Inactivation Promotes the Development of Medulloblastoma in Ptch1+/− Mice by Deregulation of Gap43–Dependent Granule Cell Precursor Migration. PLoS Genetics. 8(3). e1002572–e1002572. 25 indexed citations
14.
Németh, Júlia, Ilan Stein, Daniel Haag, et al.. (2009). S100A8 and S100A9 Are Novel Nuclear Factor Kappa B Target Genes During Malignant Progression of Murine and Human Liver Carcinogenesis†. Hepatology. 50(4). 1251–1262. 129 indexed citations
15.
Durchdewald, Moritz, Juan Guinea‐Viniegra, Daniel Haag, et al.. (2008). Podoplanin Is a Novel Fos Target Gene in Skin Carcinogenesis. Cancer Research. 68(17). 6877–6883. 56 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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