Chad M. Toledo

869 total citations
10 papers, 382 citations indexed

About

Chad M. Toledo is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Chad M. Toledo has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Chad M. Toledo's work include Microtubule and mitosis dynamics (4 papers), Glioma Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). Chad M. Toledo is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Glioma Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). Chad M. Toledo collaborates with scholars based in United States, United Kingdom and South Korea. Chad M. Toledo's co-authors include Patrick J. Paddison, Jacob Herman, James M. Olson, Jennifer G. DeLuca, Philip Corrin, Yu Ding, Ryan Basom, Emily J. Girard, Steven M. Pollard and Kyobi Skutt-Kakaria and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Cancer Research.

In The Last Decade

Chad M. Toledo

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chad M. Toledo United States	8	324	107	86	53	42	10	382
Jacek Marzec United Kingdom	9	216 0.7×	60 0.6×	89 1.0×	84 1.6×	57 1.4×	16	338
Craig MacKay United Kingdom	5	357 1.1×	63 0.6×	92 1.1×	111 2.1×	15 0.4×	6	423
Inessa Skrypkina Ukraine	13	280 0.9×	172 1.6×	91 1.1×	62 1.2×	13 0.3×	36	430
Taiko Sukezane Japan	9	292 0.9×	147 1.4×	49 0.6×	80 1.5×	22 0.5×	10	420
Anne Carstensen Germany	5	453 1.4×	139 1.3×	82 1.0×	153 2.9×	14 0.3×	6	558
René Meyer United States	13	451 1.4×	120 1.1×	87 1.0×	87 1.6×	15 0.4×	14	554
Warapen Treekitkarnmongkol United States	8	281 0.9×	107 1.0×	87 1.0×	182 3.4×	11 0.3×	14	410
Linette Grove United States	9	304 0.9×	64 0.6×	64 0.7×	130 2.5×	14 0.3×	9	370
Veenu Tripathi United States	11	381 1.2×	71 0.7×	100 1.2×	97 1.8×	9 0.2×	15	440

Countries citing papers authored by Chad M. Toledo

Since Specialization

Citations

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

Fields of papers citing papers by Chad M. Toledo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad M. Toledo

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

10 of 10 papers shown

Feldman, Heather, Sonali Arora, Pia Hoellerbauer, et al.. (2021). Neural G0: a quiescent‐like state found in neuroepithelial‐derived cells and glioma. Molecular Systems Biology. 17(6). e9522–e9522. 28 indexed citations

Lee, Eunjee, Margaret Pain, Huaien Wang, et al.. (2017). Sensitivity to BUB1B Inhibition Defines an Alternative Classification of Glioblastoma. Cancer Research. 77(20). 5518–5529. 28 indexed citations

Ding, Yu, Jacob Herman, Chad M. Toledo, et al.. (2017). ZNF131 suppresses centrosome fragmentation in glioblastoma stem-like cells through regulation of HAUS5. Oncotarget. 8(30). 48545–48562. 13 indexed citations

Plaisier, Christopher, Brady Bernard, Sheila M. Reynolds, et al.. (2016). Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis. Cell Systems. 3(2). 172–186. 72 indexed citations

Toledo, Chad M., Pia Hoellerbauer, Ryan J. Davis, et al.. (2016). Abstract 4370: Genome-wide CRISPR-Cas9 screens reveal loss of redundancy between PKMYT1 and WEE1 in patient-derived glioblastoma stem-like cells. Cancer Research. 76(14_Supplement). 4370–4370.

Toledo, Chad M., Jacob Herman, Jonathan B. Olsen, et al.. (2014). BuGZ Is Required for Bub3 Stability, Bub1 Kinetochore Function, and Chromosome Alignment. Developmental Cell. 28(3). 282–294. 58 indexed citations

Herman, Jacob, Chad M. Toledo, James M. Olson, Jennifer G. DeLuca, & Patrick J. Paddison. (2014). Molecular Pathways: Regulation and Targeting of Kinetochore–Microtubule Attachment in Cancer. Clinical Cancer Research. 21(2). 233–239. 23 indexed citations

Hubert, Christopher G., Robert K. Bradley, Yu Ding, et al.. (2013). Genome-wide RNAi screens in human brain tumor isolates reveal a novel viability requirement for PHF5A. Genes & Development. 27(9). 1032–1045. 88 indexed citations

Ding, Yu, Christopher G. Hubert, Jacob Herman, et al.. (2012). Cancer-Specific Requirement for BUB1B/BUBR1 in Human Brain Tumor Isolates and Genetically Transformed Cells. Cancer Discovery. 3(2). 198–211. 67 indexed citations

10.

Crombet, Tania, Mauricio Catalá, Sara González, et al.. (2005). Treatment of high-grade astrocytic tumors with the humanized anti-EGF-R antibody h-R3 and radiotherapy. Journal of Clinical Oncology. 23(16_suppl). 2554–2554. 5 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