Dan R. Laks

1.4k total citations
22 papers, 880 citations indexed

About

Dan R. Laks is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Dan R. Laks has authored 22 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Oncology. Recurrent topics in Dan R. Laks's work include Glioma Diagnosis and Treatment (9 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). Dan R. Laks is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). Dan R. Laks collaborates with scholars based in United States, Japan and China. Dan R. Laks's co-authors include Harley I. Kornblum, Koppany Visnyei, Timothy F. Cloughesy, Daochun Sun, Zilai Wang, William H. Yong, Xuanhua Xie, Luis F. Parada, Paul S. Mischel and Linda M. Liau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dan R. Laks

22 papers receiving 867 citations

Peers

Dan R. Laks

GENET

ONCOL

IMMUN

Tamara Major Serbia

Konstantin Adamsky Israel

Carmen Ramírez‐Castillejo Spain

Björn Tews Germany

Thamara J. Abouantoun Lebanon

Doğukan Mizrak United States

Íñigo Casafont Spain

Sara Becker-Catania United States

D. Spencer Currle United States

Gesa Rascher Germany

Tamara Major Serbia

Dan R. Laks

603 ×1.6

264 ×0.9

GENET

138 ×0.6

188 ×0.8

ONCOL

29 ×0.4

IMMUN

Citations per year, relative to Dan R. Laks Dan R. Laks (= 1×) peers Tamara Major

Countries citing papers authored by Dan R. Laks

Since Specialization

Citations

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

Fields of papers citing papers by Dan R. Laks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan R. Laks. 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 Dan R. Laks. The network helps show where Dan R. Laks may publish in the future.

Co-authorship network of co-authors of Dan R. Laks

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alvarado, Alvaro G., Sree Deepthi Muthukrishnan, Riki Kawaguchi, et al.. (2022). Pathway-based Approach Reveals Differential Sensitivity to E2F1 Inhibition in Glioblastoma. Cancer Research Communications. 2(9). 1049–1060. 4 indexed citations

Xie, Xuanhua, Dan R. Laks, Daochun Sun, et al.. (2022). Quiescent human glioblastoma cancer stem cells drive tumor initiation, expansion, and recurrence following chemotherapy. Developmental Cell. 57(1). 32–46.e8. 108 indexed citations

Muthukrishnan, Sree Deepthi, Alireza Sohrabi, Riki Kawaguchi, et al.. (2022). A molecular interactome of the glioblastoma perivascular niche reveals integrin binding sialoprotein as a mediator of tumor cell migration. Cell Reports. 41(3). 111511–111511. 11 indexed citations

Sun, Daochun, Xuanhua Xie, Xiyuan Zhang, et al.. (2021). Stem-like cells drive NF1-associated MPNST functional heterogeneity and tumor progression. Cell stem cell. 28(8). 1397–1410.e4. 24 indexed citations

Sohrabi, Alireza, Sree Deepthi Muthukrishnan, Riki Kawaguchi, et al.. (2021). A Molecular Interactome of the Glioblastoma Perivascular Niche Reveals Integrin Binding Sialoprotein as a Key Mediator of Tumor Cell Migration. SSRN Electronic Journal. 1 indexed citations

Xie, Xuanhua, Dan R. Laks, Daochun Sun, et al.. (2020). High-resolution mouse subventricular zone stem-cell niche transcriptome reveals features of lineage, anatomy, and aging. Proceedings of the National Academy of Sciences. 117(49). 31448–31458. 39 indexed citations

Wang, Zilai, Daochun Sun, Yu-Jung Chen, et al.. (2020). Cell Lineage-Based Stratification for Glioblastoma. Cancer Cell. 38(3). 366–379.e8. 72 indexed citations

Laks, Dan R., Lisa Ta, Thomas J. Crisman, et al.. (2016). Inhibition of Nucleotide Synthesis Targets Brain Tumor Stem Cells in a Subset of Glioblastoma. Molecular Cancer Therapeutics. 15(6). 1271–1278. 12 indexed citations

Laks, Dan R., Thomas J. Crisman, Jack Mottahedeh, et al.. (2016). Large-scale assessment of the gliomasphere model system. Neuro-Oncology. 18(10). 1367–1378. 61 indexed citations

10.

Crisman, Thomas J., Ivette Zelaya, Dan R. Laks, et al.. (2016). Identification of an Efficient Gene Expression Panel for Glioblastoma Classification. PLoS ONE. 11(11). e0164649–e0164649. 11 indexed citations

11.

Dufault, Renee, Raquel Crider, Roseanne Schnoll, et al.. (2015). Blood inorganic mercury is directly associated with glucose levels in the human population and may be linked to processed food intake. Integrative Molecular Medicine. 2(3). 6 indexed citations

12.

Panosyan, Eduard H., Yuntao Wang, Wai‐Nang Paul Lee, et al.. (2014). Asparagine Depletion Potentiates the Cytotoxic Effect of Chemotherapy against Brain Tumors. Molecular Cancer Research. 12(5). 694–702. 58 indexed citations

13.

Belle, Janel E. Le, Jantzen Sperry, Dan R. Laks, et al.. (2014). Maternal Inflammation Contributes to Brain Overgrowth and Autism-Associated Behaviors through Altered Redox Signaling in Stem and Progenitor Cells. Stem Cell Reports. 3(5). 725–734. 84 indexed citations

14.

Nakano, Ichiro, Kamaldeep Joshi, Koppany Visnyei, et al.. (2011). Siomycin A targets brain tumor stem cells partially through a MELK-mediated pathway. Neuro-Oncology. 13(6). 622–634. 51 indexed citations

15.

Panosyan, Eduard H., Dan R. Laks, Michael Masterman‐Smith, et al.. (2010). Clinical outcome in pediatric glial and embryonal brain tumors correlates with in vitro multi‐passageable neurosphere formation. Pediatric Blood & Cancer. 55(4). 644–651. 34 indexed citations

16.

Laks, Dan R.. (2009). Assessment of chronic mercury exposure within the U.S. population, National Health and Nutrition Examination Survey, 1999–2006. BioMetals. 22(6). 1103–1114. 39 indexed citations

17.

Laks, Dan R.. (2009). Luteinizing hormone provides a causal mechanism for mercury associated disease. Medical Hypotheses. 74(4). 698–701. 10 indexed citations

18.

Laks, Dan R., Michael Masterman‐Smith, Koppany Visnyei, et al.. (2009). Neurosphere Formation Is an Independent Predictor of Clinical Outcome in Malignant Glioma. Stem Cells. 27(4). 980–987. 182 indexed citations

19.

Ezzat, Shereen, et al.. (1991). Growth Hormone Regulation in Primary Fetal and Neonatal Rat Pituitary Cell Cultures: The Role of Thyroid Hormone*. Endocrinology. 128(2). 937–943. 32 indexed citations

20.

Laks, Dan R., Leila Beckwith, & Sarale E. Cohen. (1990). Mothers' Use of Personal Pronouns when Talking with Toddlers. The Journal of Genetic Psychology. 151(1). 25–32. 2 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.

Explore authors with similar magnitude of impact