Xavier Gaeta

854 total citations
9 papers, 646 citations indexed

About

Xavier Gaeta is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Xavier Gaeta has authored 9 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Developmental Neuroscience and 3 papers in Cancer Research. Recurrent topics in Xavier Gaeta's work include Pluripotent Stem Cells Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Mesenchymal stem cell research (2 papers). Xavier Gaeta is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Mesenchymal stem cell research (2 papers). Xavier Gaeta collaborates with scholars based in United States. Xavier Gaeta's co-authors include William E. Lowry, Raymond Choi, Arjun V. Pendharkar, Raphaël Guzman, Robert H. Andres, Alanna B. Chan, Daniel Braas, Kathrin Plath, Wen Gu and Anna Sahakyan and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Xavier Gaeta

9 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xavier Gaeta United States	7	393	187	152	113	100	9	646
Tara A. Barone United States	15	471 1.2×	228 1.2×	300 2.0×	150 1.3×	109 1.1×	22	1.0k
Julia P. Andreotti Brazil	13	240 0.6×	95 0.5×	110 0.7×	75 0.7×	119 1.2×	15	569
Kunshan Zhang China	14	368 0.9×	120 0.6×	60 0.4×	139 1.2×	90 0.9×	26	655
Jessica Schira‐Heinen Germany	13	301 0.8×	167 0.9×	85 0.6×	129 1.1×	32 0.3×	24	605
In H. Park South Korea	8	348 0.9×	261 1.4×	275 1.8×	46 0.4×	76 0.8×	9	694
Jin Ae Jun South Korea	8	231 0.6×	370 2.0×	163 1.1×	40 0.4×	73 0.7×	9	652
Raymond Choi United States	10	212 0.5×	307 1.6×	233 1.5×	37 0.3×	162 1.6×	10	603
Susanne Nichterwitz Sweden	9	377 1.0×	123 0.7×	61 0.4×	71 0.6×	43 0.4×	10	691
Claire Fabian Germany	13	216 0.5×	173 0.9×	70 0.5×	39 0.3×	58 0.6×	18	479
Cristina Porcheri Switzerland	12	289 0.7×	62 0.3×	228 1.5×	87 0.8×	140 1.4×	17	742

Countries citing papers authored by Xavier Gaeta

Since Specialization

Citations

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

Fields of papers citing papers by Xavier Gaeta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Gaeta. 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 Xavier Gaeta. The network helps show where Xavier Gaeta may publish in the future.

Co-authorship network of co-authors of Xavier Gaeta

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

1.

Cinkornpumin, Jessica, Martina Roos, Liem H. Nguyen, et al.. (2017). A small molecule screen to identify regulators of let-7 targets. Scientific Reports. 7(1). 15973–15973. 14 indexed citations

2.

Gaeta, Xavier, et al.. (2017). Defining Transcriptional Regulatory Mechanisms for Primary let-7 miRNAs. PLoS ONE. 12(1). e0169237–e0169237. 6 indexed citations

3.

Germanguz, Igal, Jennifer Listgarten, Jessica Cinkornpumin, et al.. (2016). Identifying gene expression modules that define human cell fates. Stem Cell Research. 16(3). 712–724. 1 indexed citations

4.

Gu, Wen, Xavier Gaeta, Anna Sahakyan, et al.. (2016). Glycolytic Metabolism Plays a Functional Role in Regulating Human Pluripotent Stem Cell State. Cell stem cell. 19(4). 476–490. 205 indexed citations

5.

Patterson, Michaela, Xavier Gaeta, Karen M. J. van Loo, et al.. (2014). let-7 miRNAs Can Act through Notch to Regulate Human Gliogenesis. Stem Cell Reports. 3(5). 758–773. 82 indexed citations

6.

Xie, Yuan, Jin Zhang, Ying Lin, et al.. (2014). Defining the Role of Oxygen Tension in Human Neural Progenitor Fate. Stem Cell Reports. 3(5). 743–757. 53 indexed citations

7.

Andres, Robert H., Raymond Choi, Arjun V. Pendharkar, et al.. (2011). The CCR2/CCL2 Interaction Mediates the Transendothelial Recruitment of Intravascularly Delivered Neural Stem Cells to the Ischemic Brain. Stroke. 42(10). 2923–2931. 83 indexed citations

8.

Chua, Joshua Y., Arjun V. Pendharkar, Nancy Wang, et al.. (2010). Intra-Arterial Injection of Neural Stem Cells using a Microneedle Technique does not Cause Microembolic Strokes. Journal of Cerebral Blood Flow & Metabolism. 31(5). 1263–1271. 74 indexed citations

9.

Pendharkar, Arjun V., Robert H. Andres, Nancy Wang, et al.. (2010). Biodistribution of Neural Stem Cells After Intravascular Therapy for Hypoxic–Ischemia. Stroke. 41(9). 2064–2070. 128 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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