Daphne A. Haas‐Kogan

15.6k total citations · 4 hit papers
206 papers, 7.8k citations indexed

About

Daphne A. Haas‐Kogan is a scholar working on Genetics, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daphne A. Haas‐Kogan has authored 206 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Genetics, 73 papers in Neurology and 65 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daphne A. Haas‐Kogan's work include Glioma Diagnosis and Treatment (114 papers), Neuroblastoma Research and Treatments (65 papers) and Brain Metastases and Treatment (45 papers). Daphne A. Haas‐Kogan is often cited by papers focused on Glioma Diagnosis and Treatment (114 papers), Neuroblastoma Research and Treatments (65 papers) and Brain Metastases and Treatment (45 papers). Daphne A. Haas‐Kogan collaborates with scholars based in United States, Canada and Netherlands. Daphne A. Haas‐Kogan's co-authors include David Stokoe, Katherine K. Matthay, Wendy B. London, Robert C. Seeger, Michael D. Prados, Judith G. Villablanca, C. Patrick Reynolds, Mitchel S. Berger, Robert B. Gerbing and Ayal A. Aizer and has published in prestigious journals such as The Lancet, JAMA and Nature Communications.

In The Last Decade

Daphne A. Haas‐Kogan

190 papers receiving 7.7k citations

Hit Papers

Loss of PTEN facilitates HIF-1-mediated gene expression 2000 2026 2008 2017 2000 2009 2017 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Loss of PTEN facilitates HIF-1-mediated gene expression
    2000 688 citations Daphne A. Haas‐Kogan et al. profile →
  2. Long-Term Results for Children With High-Risk Neuroblastoma Treated on a Randomized Trial of Myeloablative Therapy Followed by 13-cis-Retinoic Acid: A Children's Oncology Group Study
    2009 621 citations Katherine K. Matthay, C. Patrick Reynolds et al. profile →
  3. Incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy: a population-based study
    2017 500 citations Daniel Cagney, Eudocia Q. Lee et al. Neuro-Oncology profile →
  4. Effect of Tandem Autologous Stem Cell Transplant vs Single Transplant on Event-Free Survival in Patients With High-Risk Neuroblastoma
    2019 214 citations Julie R. Park, Susan G. Kreissman et al. profile →

Peers

Daphne A. Haas‐Kogan
Ryo Nishikawa Japan
Sridharan Gururangan United States
Kristin Waite United States
Erik P. Sulman United States
Randy L. Jensen United States
Felix Sahm Germany
Richard G. Grundy United Kingdom
Ahmed Idbaïh France
Uri Tabori Canada
Koichi Ichimura Japan
Ryo Nishikawa Japan
Daphne A. Haas‐Kogan
Citations per year, relative to Daphne A. Haas‐Kogan Daphne A. Haas‐Kogan (= 1×) peers Ryo Nishikawa

Countries citing papers authored by Daphne A. Haas‐Kogan

Since Specialization
Citations

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

Fields of papers citing papers by Daphne A. Haas‐Kogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daphne A. Haas‐Kogan. 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 Daphne A. Haas‐Kogan. The network helps show where Daphne A. Haas‐Kogan may publish in the future.

Co-authorship network of co-authors of Daphne A. Haas‐Kogan

This figure shows the co-authorship network connecting the top 25 collaborators of Daphne A. Haas‐Kogan. A scholar is included among the top collaborators of Daphne A. Haas‐Kogan 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 Daphne A. Haas‐Kogan. Daphne A. Haas‐Kogan 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.
Ye, Zezhong, Sridhar Vajapeyam, Ariana Familiar, et al.. (2025). Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning. NEJM AI. 2(5).
2.
Bernstock, Joshua D., Paramesh Karandikar, Jason Chen, et al.. (2024). Case Report: Low-grade glioma with NF1 loss of function mimicking diffuse intrinsic pontine glioma. Frontiers in Surgery. 11. 1356660–1356660. 1 indexed citations
3.
Ye, Zezhong, Sridhar Vajapeyam, Ariana Familiar, et al.. (2024). LGG-15. DEEP LEARNING ENABLES LONGITUDINAL RISK PREDICTION FOR PEDIATRIC LOW-GRADE GLIOMAS AFTER SURGERY. Neuro-Oncology. 26(Supplement_4). 0–0. 1 indexed citations
4.
Ye, Zezhong, Sridhar Vajapeyam, Kevin X. Liu, et al.. (2023). LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL PREDICTION IN PATIENTS WITH PEDIATRIC LOW-GRADE GLIOMA. Neuro-Oncology. 25(Supplement_1). i56–i56. 1 indexed citations
5.
Christ, Sebastian M., Gilbert Youssef, Shyam Tanguturi, et al.. (2023). Re-irradiation of recurrent IDH-wildtype glioblastoma in the bevacizumab and immunotherapy era: Target delineation, outcomes and patterns of recurrence. Clinical and Translational Radiation Oncology. 44. 100697–100697. 5 indexed citations
6.
Nowicka, Zuzanna, Bartłomiej Tomasik, David Kozono, et al.. (2023). Serum miRNA-based signature indicates radiation exposure and dose in humans: A multicenter diagnostic biomarker study. Radiotherapy and Oncology. 185. 109731–109731. 3 indexed citations
7.
Bredfeldt, Jeremy S., Evangelia Kaza, Martin Requardt, et al.. (2022). Patient specific distortion detection and mitigation in MR images used for stereotactic radiosurgery. Physics in Medicine and Biology. 67(6). 65009–65009. 3 indexed citations
8.
Heppler, Lisa N., Susana P. Egusquiaguirre, Natalie Boehnke, et al.. (2021). Lipidome-based Targeting of STAT3-driven Breast Cancer Cells Using Poly- l -glutamic Acid–coated Layer-by-Layer Nanoparticles. Molecular Cancer Therapeutics. 20(4). 726–738. 9 indexed citations
9.
Polishchuk, Alexei L., Randall A. Hawkins, Steve Braunstein, et al.. (2021). Anatomic patterns of relapse and progression following treatment with 131I‐MIBG in relapsed or refractory neuroblastoma. Pediatric Blood & Cancer. 69(2). e29396–e29396. 1 indexed citations
10.
Bitterman, Danielle S., et al.. (2020). Race Disparities in High-cost, Limited Resource Cancer Treatment: Proton Radiotherapy Use in Patients Enrolled on Children’s Oncology Group Trials. International Journal of Radiation Oncology*Biology*Physics. 108(3). S136–S136. 2 indexed citations
11.
Cole, Kristina A., Sharmistha Pal, Rachel A. Kudgus, et al.. (2019). Phase I Clinical Trial of the Wee1 Inhibitor Adavosertib (AZD1775) with Irinotecan in Children with Relapsed Solid Tumors: A COG Phase I Consortium Report (ADVL1312). Clinical Cancer Research. 26(6). 1213–1219. 48 indexed citations
12.
Wong, Robyn A., Zhenyi An, Daphne A. Haas‐Kogan, et al.. (2019). Cooperative Blockade of PKCα and JAK2 Drives Apoptosis in Glioblastoma. Cancer Research. 80(4). 709–718. 17 indexed citations
13.
Braunstein, Steve, Wendy B. London, Susan G. Kreissman, et al.. (2019). Role of the extent of prophylactic regional lymph node radiotherapy on survival in high‐risk neuroblastoma: A report from the COG A3973 study. Pediatric Blood & Cancer. 66(7). e27736–e27736. 9 indexed citations
14.
Pal, Sharmistha, David Kozono, Xiaodong Yang, et al.. (2018). Dual HDAC and PI3K Inhibition Abrogates NFκB- and FOXM1-Mediated DNA Damage Response to Radiosensitize Pediatric High-Grade Gliomas. Cancer Research. 78(14). 4007–4021. 71 indexed citations
15.
Pinto, Navin, Steven G. DuBois, Araz Marachelian, et al.. (2018). Phase I study of vorinostat in combination with isotretinoin in patients with refractory/recurrent neuroblastoma: A new approaches to Neuroblastoma Therapy (NANT) trial. Pediatric Blood & Cancer. 65(7). e27023–e27023. 27 indexed citations
16.
Narayan, Ravi S., Tonny Lagerweij, Jaap van den Berg, et al.. (2017). Identification of MEK162 as a Radiosensitizer for the Treatment of Glioblastoma. Molecular Cancer Therapeutics. 17(2). 347–354. 19 indexed citations
17.
Olow, Aleksandra, Sabine Mueller, Xiao-Dong Yang, et al.. (2016). BRAF Status in Personalizing Treatment Approaches for Pediatric Gliomas. Clinical Cancer Research. 22(21). 5312–5321. 33 indexed citations
18.
More, Swati S., Melissa Itsara, Xiao-Dong Yang, et al.. (2011). Vorinostat Increases Expression of Functional Norepinephrine Transporter in Neuroblastoma In Vitro and In Vivo Model Systems. Clinical Cancer Research. 17(8). 2339–2349. 51 indexed citations
19.
Dinca, Eduard B., Kan Lu, Jann N. Sarkaria, et al.. (2008). p53 Small-Molecule Inhibitor Enhances Temozolomide Cytotoxic Activity against Intracranial Glioblastoma Xenografts. Cancer Research. 68(24). 10034–10039. 42 indexed citations
20.
Jelluma, Nannette, Xiaodong Yang, Nils D. Arvold, et al.. (2006). Radiation-Induced Caspase-8 Mediates p53-Independent Apoptosis in Glioma Cells. Cancer Research. 66(8). 4223–4232. 53 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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