Daniel M. Treisman

441 total citations
9 papers, 315 citations indexed

About

Daniel M. Treisman is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Daniel M. Treisman has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Daniel M. Treisman's work include Glioma Diagnosis and Treatment (7 papers), Hedgehog Signaling Pathway Studies (4 papers) and Neuroblastoma Research and Treatments (2 papers). Daniel M. Treisman is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Hedgehog Signaling Pathway Studies (4 papers) and Neuroblastoma Research and Treatments (2 papers). Daniel M. Treisman collaborates with scholars based in United States, Australia and Germany. Daniel M. Treisman's co-authors include John S. Kuo, Paul A. Clark, Johnathan Ebben, Michael Zorniak, Haviryaji S. G. Kalluri, Mari Iida, Deric L. Wheeler, Yinghua Li, Yuan Zhu and Yuan Wang and has published in prestigious journals such as Nature Communications, Developmental Cell and Cell Reports.

In The Last Decade

Daniel M. Treisman

9 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel M. Treisman United States	7	166	124	122	87	33	9	315
Abraham Boskovitz United States	7	123 0.7×	84 0.7×	127 1.0×	80 0.9×	44 1.3×	8	352
Magdalena Zakrzewska Poland	13	246 1.5×	83 0.7×	128 1.0×	170 2.0×	33 1.0×	35	418
Laura A. Genovesi Australia	12	287 1.7×	59 0.5×	112 0.9×	111 1.3×	32 1.0×	15	439
Michaël H. Meel Netherlands	13	172 1.0×	68 0.5×	153 1.3×	65 0.7×	41 1.2×	20	367
M.-T. Stockhausen Denmark	3	260 1.6×	119 1.0×	83 0.7×	87 1.0×	14 0.4×	4	351
Alexandra Garancher United States	8	260 1.6×	76 0.6×	103 0.8×	76 0.9×	16 0.5×	11	323
Michael Zorniak United States	8	190 1.1×	135 1.1×	126 1.0×	95 1.1×	35 1.1×	10	366
Lilian Lee Canada	7	273 1.6×	127 1.0×	134 1.1×	93 1.1×	16 0.5×	10	386
Carmela Dantas-Barbosa France	9	159 1.0×	49 0.4×	124 1.0×	57 0.7×	25 0.8×	12	265
Cong Ran United States	8	216 1.3×	100 0.8×	76 0.6×	113 1.3×	28 0.8×	10	358

Countries citing papers authored by Daniel M. Treisman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Treisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Treisman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Treisman. A scholar is included among the top collaborators of Daniel M. Treisman 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 M. Treisman. Daniel M. Treisman 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:

9 of 9 papers shown

Treisman, Daniel M., Yinghua Li, & Yuan Zhu. (2021). Stem-Like Cell Populations, p53-Pathway Activation and Mechanisms of Recurrence in Sonic Hedgehog Medulloblastoma. NeuroMolecular Medicine. 24(1). 13–17. 5 indexed citations

Zhu, Yuan, et al.. (2021). A therapeutic window for preventive therapy in NF1-associated optic pathway glioma. Molecular & Cellular Oncology. 8(6). 1989262–1989262. 1 indexed citations

Zheng, Wang, Miriam Bornhorst, Yinghua Li, et al.. (2021). Treatment during a developmental window prevents NF1-associated optic pathway gliomas by targeting Erk-dependent migrating glial progenitors. Developmental Cell. 56(20). 2871–2885.e6. 16 indexed citations

Li, Yinghua, Bo Li, Wei Li, et al.. (2020). Murine models of IDH-wild-type glioblastoma exhibit spatial segregation of tumor initiation and manifestation during evolution. Nature Communications. 11(1). 3669–3669. 34 indexed citations

Treisman, Daniel M., Yinghua Li, Chaoyang Li, et al.. (2019). Sox2+ cells in Sonic Hedgehog-subtype medulloblastoma resist p53-mediated cell-cycle arrest response and drive therapy-induced recurrence. Neuro-Oncology Advances. 1(1). vdz027–vdz027. 6 indexed citations

Akgül, Seçkin, Yinghua Li, Siyuan Zheng, et al.. (2018). Opposing Tumor-Promoting and -Suppressive Functions of Rictor/mTORC2 Signaling in Adult Glioma and Pediatric SHH Medulloblastoma. Cell Reports. 24(2). 463–478.e5. 20 indexed citations

Clark, Paul A., Mari Iida, Daniel M. Treisman, et al.. (2012). Activation of Multiple ERBB Family Receptors Mediates Glioblastoma Cancer Stem-like Cell Resistance to EGFR-Targeted Inhibition. Neoplasia. 14(5). 420–IN13. 110 indexed citations

Ebben, Johnathan, et al.. (2010). The cancer stem cell paradigm: a new understanding of tumor development and treatment. Expert Opinion on Therapeutic Targets. 14(6). 621–632. 70 indexed citations

Clark, Paul A., Daniel M. Treisman, Johnathan Ebben, & John S. Kuo. (2007). Developmental signaling pathways in brain tumor‐derived stem‐like cells. Developmental Dynamics. 236(12). 3297–3308. 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.

Explore authors with similar magnitude of impact