Marc A. Vittoria

522 total citations
10 papers, 324 citations indexed

About

Marc A. Vittoria is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Marc A. Vittoria has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Marc A. Vittoria's work include Hippo pathway signaling and YAP/TAZ (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer Genomics and Diagnostics (2 papers). Marc A. Vittoria is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer Genomics and Diagnostics (2 papers). Marc A. Vittoria collaborates with scholars based in United States, Japan and Germany. Marc A. Vittoria's co-authors include Neil J. Ganem, Ryan J. Quinton, Hua‐Bin Wu, Monika Raj, Paramjit S. Arora, Nicole Hermance, Amity L. Manning, Joshua D. Campbell, Yusuke Koga and Taruho S. Kuroda and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Marc A. Vittoria

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc A. Vittoria United States	7	208	132	74	69	61	10	324
Anika Trenner Switzerland	7	377 1.8×	41 0.3×	140 1.9×	41 0.6×	40 0.7×	8	413
Dharmendra Dingar Canada	9	319 1.5×	87 0.7×	69 0.9×	34 0.5×	31 0.5×	13	393
Simon Low United States	6	239 1.1×	116 0.9×	86 1.2×	24 0.3×	34 0.6×	6	368
Melody Diamond United States	8	353 1.7×	118 0.9×	255 3.4×	50 0.7×	35 0.6×	20	433
Stela Álvarez-Fernández Spain	8	216 1.0×	34 0.3×	83 1.1×	76 1.1×	26 0.4×	11	363
Candice L. Horn United States	6	457 2.2×	81 0.6×	251 3.4×	64 0.9×	39 0.6×	10	552
Mariya Ilcheva United States	5	307 1.5×	30 0.2×	140 1.9×	115 1.7×	32 0.5×	6	386
Manuel D. Haschka Austria	8	304 1.5×	165 1.3×	123 1.7×	34 0.5×	13 0.2×	10	397
Tahir Sheikh United States	8	335 1.6×	62 0.5×	162 2.2×	48 0.7×	23 0.4×	19	431
Haymanti Bhanot United States	6	227 1.1×	80 0.6×	31 0.4×	67 1.0×	26 0.4×	7	327

Countries citing papers authored by Marc A. Vittoria

Since Specialization

Citations

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

Fields of papers citing papers by Marc A. Vittoria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc A. Vittoria. 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 Marc A. Vittoria. The network helps show where Marc A. Vittoria may publish in the future.

Co-authorship network of co-authors of Marc A. Vittoria

This figure shows the co-authorship network connecting the top 25 collaborators of Marc A. Vittoria. A scholar is included among the top collaborators of Marc A. Vittoria 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 Marc A. Vittoria. Marc A. Vittoria 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

1.

Vittoria, Marc A., Ryan J. Quinton, & Neil J. Ganem. (2023). Whole-genome doubling in tissues and tumors. Trends in Genetics. 39(12). 954–967. 19 indexed citations

2.

Vittoria, Marc A., et al.. (2022). Oncogenic BRAF induces whole-genome doubling through suppression of cytokinesis. Nature Communications. 13(1). 4109–4109. 14 indexed citations

3.

Vittoria, Marc A., Rui Hong, Lee Huang, et al.. (2022). Inactivation of the Hippo tumor suppressor pathway promotes melanoma. Nature Communications. 13(1). 3732–3732. 16 indexed citations

4.

Quinton, Ryan J., Marc A. Vittoria, Yusuke Koga, et al.. (2021). Whole-genome doubling confers unique genetic vulnerabilities on tumour cells. Nature. 590(7846). 492–497. 150 indexed citations

5.

Quinton, Ryan J., Marc A. Vittoria, Yusuke Koga, et al.. (2021). Publisher Correction: Whole-genome doubling confers unique genetic vulnerabilities on tumour cells. Nature. 593(7860). E15–E15. 2 indexed citations

6.

Hermance, Nicole, Tenny Mudianto, Marc A. Vittoria, et al.. (2019). Identification of the kinase STK25 as an upstream activator of LATS signaling. Nature Communications. 10(1). 1547–1547. 36 indexed citations

7.

Vittoria, Marc A., et al.. (2018). A genome-wide microRNA screen identifies regulators of tetraploid cell proliferation. Molecular Biology of the Cell. 29(14). 1682–1692. 12 indexed citations

8.

Vittoria, Marc A., et al.. (2018). Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel. Journal of Visualized Experiments. 4 indexed citations

9.

Vittoria, Marc A., et al.. (2018). Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel. Journal of Visualized Experiments. 1 indexed citations

10.

Raj, Monika, et al.. (2015). Aldehyde Capture Ligation for Synthesis of Native Peptide Bonds. Journal of the American Chemical Society. 137(21). 6932–6940. 70 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