Angelo D. Arias

777 total citations
8 papers, 338 citations indexed

About

Angelo D. Arias is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Angelo D. Arias has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Angelo D. Arias's work include Pluripotent Stem Cells Research (3 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Biomedical Ethics and Regulation (1 paper). Angelo D. Arias is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Biomedical Ethics and Regulation (1 paper). Angelo D. Arias collaborates with scholars based in United States, Germany and France. Angelo D. Arias's co-authors include Kelly A. Frazer, Kristen Jepsen, Agnieszka D’Antonio‐Chronowska, Matteo D’Antonio, Hiroko Matsui, Erin N. Smith, Hakan Alakus, Richard B. Schwab, Evangeline Mose and Michael R. Peterson and has published in prestigious journals such as Nature Communications, Cell stem cell and Genome biology.

In The Last Decade

Angelo D. Arias

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angelo D. Arias United States	8	210	94	62	44	36	8	338
Patti Petrosko United States	7	246 1.2×	64 0.7×	16 0.3×	22 0.5×	28 0.8×	9	330
Ralitsa T. Loewen United States	17	152 0.7×	63 0.7×	57 0.9×	28 0.6×	11 0.3×	26	563
Terri Gaskell United Kingdom	7	217 1.0×	96 1.0×	100 1.6×	99 2.3×	13 0.4×	7	393
Eleonora Cesari Italy	12	230 1.1×	51 0.5×	28 0.5×	34 0.8×	12 0.3×	25	368
Sandhya Anand India	9	294 1.4×	74 0.8×	121 2.0×	24 0.5×	16 0.4×	11	424
Christoph Hansis United States	9	432 2.1×	70 0.7×	29 0.5×	106 2.4×	15 0.4×	14	507
Mio Kabata Japan	11	384 1.8×	49 0.5×	10 0.2×	50 1.1×	33 0.9×	16	491
Yu-Ting Yan Taiwan	7	223 1.1×	47 0.5×	3 0.0×	51 1.2×	30 0.8×	9	316
Lee Stone Taiwan	7	241 1.1×	42 0.4×	11 0.2×	35 0.8×	31 0.9×	8	317
Shinji Kaichi Japan	7	340 1.6×	110 1.2×	13 0.2×	30 0.7×	59 1.6×	11	434

Countries citing papers authored by Angelo D. Arias

Since Specialization

Citations

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

Fields of papers citing papers by Angelo D. Arias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo D. Arias. 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 Angelo D. Arias. The network helps show where Angelo D. Arias may publish in the future.

Co-authorship network of co-authors of Angelo D. Arias

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

All Works

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8 of 8 papers shown

1.

DeBoever, Christopher, He Li, David Jakubosky, et al.. (2017). Large-Scale Profiling Reveals the Influence of Genetic Variation on Gene Expression in Human Induced Pluripotent Stem Cells. Cell stem cell. 20(4). 533–546.e7. 97 indexed citations

2.

D’Antonio, Matteo, Donate Weghorn, Agnieszka D’Antonio‐Chronowska, et al.. (2017). Identifying DNase I hypersensitive sites as driver distal regulatory elements in breast cancer. Nature Communications. 8(1). 436–436. 18 indexed citations

3.

Panopoulos, Athanasia D., Erin N. Smith, Angelo D. Arias, et al.. (2017). Aberrant DNA Methylation in Human iPSCs Associates with MYC-Binding Motifs in a Clone-Specific Manner Independent of Genetics. Cell stem cell. 20(4). 505–517.e6. 25 indexed citations

4.

D’Antonio, Matteo, Grace Woodruff, Jason L. Nathanson, et al.. (2017). High-Throughput and Cost-Effective Characterization of Induced Pluripotent Stem Cells. Stem Cell Reports. 8(4). 1101–1111. 55 indexed citations

5.

Arias, Angelo D., Michael W. Lamé, Maxim Sidorov, et al.. (2016). Regression/Eradication of gliomas in mice by a systemically-deliverable ATF5 dominant-negative peptide. Oncotarget. 7(11). 12718–12730. 21 indexed citations

6.

Alakus, Hakan, Michele Babicky, Pradipta Ghosh, et al.. (2014). Genome-wide mutational landscape of mucinous carcinomatosis peritonei of appendiceal origin. Genome Medicine. 6(5). 43–43. 96 indexed citations

7.

Smith, Erin N., Kristen Jepsen, Angelo D. Arias, et al.. (2014). Genetic ancestry of participants in the National Children’s Study. Genome biology. 15(2). R22–R22. 7 indexed citations

8.

Schrot, Rudolph J., et al.. (2007). Organotypic distribution of stem cell markers in formalin-fixed brain harboring glioblastoma multiforme. Journal of Neuro-Oncology. 85(2). 149–157. 19 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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