Daniel Pelaez

1.5k total citations
65 papers, 1.0k citations indexed

About

Daniel Pelaez is a scholar working on Surgery, Molecular Biology and Ophthalmology. According to data from OpenAlex, Daniel Pelaez has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 19 papers in Molecular Biology and 17 papers in Ophthalmology. Recurrent topics in Daniel Pelaez's work include Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). Daniel Pelaez is often cited by papers focused on Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). Daniel Pelaez collaborates with scholars based in United States, China and Australia. Daniel Pelaez's co-authors include Herman S. Cheung, Chun-Yuh C. Huang, David T. Tse, Wensi Tao, Franklin García‐Godoy, Galina Dvoriantchikova, Tsz Kin Ng, Dmitry Ivanov, Chi Pui Pang and Kwong Wai Choy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Pelaez

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pelaez United States 20 294 288 224 201 131 65 1.0k
Samuel Herberg United States 23 229 0.8× 529 1.8× 211 0.9× 99 0.5× 545 4.2× 46 1.6k
Jung‐Pan Wang Taiwan 17 506 1.7× 148 0.5× 195 0.9× 93 0.5× 107 0.8× 71 973
Nick L. Occleston United Kingdom 18 286 1.0× 342 1.2× 98 0.4× 410 2.0× 43 0.3× 23 1.5k
Eul‐Sik Yoon South Korea 20 855 2.9× 87 0.3× 327 1.5× 50 0.2× 196 1.5× 100 1.5k
Darin J. Messina United States 9 259 0.9× 285 1.0× 324 1.4× 77 0.4× 34 0.3× 13 744
Miguel Blanquer Spain 16 238 0.8× 242 0.8× 406 1.8× 26 0.1× 74 0.6× 58 898
Volker Nehls Germany 16 211 0.7× 954 3.3× 178 0.8× 50 0.2× 191 1.5× 21 1.7k
Ben Mead United Kingdom 20 187 0.6× 1.3k 4.4× 503 2.2× 511 2.5× 149 1.1× 39 2.0k
Takahiro Kanno Japan 21 654 2.2× 390 1.4× 51 0.2× 62 0.3× 305 2.3× 84 1.6k
Satori Iwamoto United States 8 201 0.7× 169 0.6× 413 1.8× 64 0.3× 58 0.4× 16 824

Countries citing papers authored by Daniel Pelaez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pelaez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pelaez

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

All Works

20 of 20 papers shown
1.
Tse, David, et al.. (2024). Robust residual convolutional neural network based pupil tracking for low-computational power applications. Engineering Applications of Artificial Intelligence. 133. 108235–108235. 3 indexed citations
2.
Gallo, Ryan A., et al.. (2024). Single-Cell RNA Profiling of Ocular Adnexal Sebaceous Carcinoma Reveals a Complex Tumor Microenvironment and Identifies New Biomarkers. American Journal of Ophthalmology. 270. 8–18. 2 indexed citations
3.
Pelaez, Daniel, et al.. (2024). Retinal organoid chip: engineering a physiomimetic oxygen gradient for optimizing long term culture of human retinal organoids. Lab on a Chip. 25(7). 1626–1636. 8 indexed citations
4.
Dvoriantchikova, Galina, et al.. (2024). Novel laser model of optic nerve transection provides valuable insights about the dynamics of optic nerve regeneration. Scientific Reports. 14(1). 27412–27412.
5.
Kurtenbach, Stefan, Margaret I. Sanchez, Daniel A. Rodriguez, et al.. (2023). PRAME induces genomic instability in uveal melanoma. Oncogene. 43(8). 555–565. 13 indexed citations
6.
Gallo, Ryan A., et al.. (2022). Early Mechanisms of Chemoresistance in Retinoblastoma. Cancers. 14(19). 4966–4966. 10 indexed citations
7.
Field, Matthew G., James J. Dollar, Michael Durante, et al.. (2022). RB1 loss triggers dependence on ESRRG in retinoblastoma. Science Advances. 8(33). eabm8466–eabm8466. 13 indexed citations
8.
Gallo, Ryan A., et al.. (2020). Mitochondrial lipid profiling data of a traumatic optic neuropathy model. SHILAP Revista de lepidopterología. 30. 105649–105649. 4 indexed citations
9.
Gallo, Ryan A., et al.. (2020). Lipidomics dataset of sonication-induced traumatic optic neuropathy in mice. SHILAP Revista de lepidopterología. 29. 105147–105147. 3 indexed citations
10.
Dvoriantchikova, Galina, et al.. (2018). Modulation of the inner limiting membrane to enhance cellular engraftment into the ganglion cell layer. Investigative Ophthalmology & Visual Science. 59(9). 552–552. 1 indexed citations
11.
Tao, Wensi, Galina Dvoriantchikova, Tsung-Han Chou, et al.. (2017). A Novel Mouse Model of Traumatic Optic Neuropathy Using External Ultrasound Energy to Achieve Focal, Indirect Optic Nerve Injury. Scientific Reports. 7(1). 11779–11779. 40 indexed citations
12.
Pelaez, Daniel, et al.. (2016). Neural Crest Stem Cells Can Differentiate to a Cardiomyogenic Lineage with an Ability to Contract in Response to Pulsed Infrared Stimulation. Tissue Engineering Part C Methods. 22(10). 982–990. 3 indexed citations
13.
Yu, Songping, Wentao Yan, Dinesh Selva, et al.. (2016). Endoscopic Transretracaruncular-Middle Meteas Tract for Insertion of a Porous Polyethylene-Coated Jones Tube. Journal of Craniofacial Surgery. 27(7). e655–e659. 2 indexed citations
14.
Dvoriantchikova, Galina, et al.. (2015). Molecular Characterization of Notch1 Positive Progenitor Cells in the Developing Retina. PLoS ONE. 10(6). e0131054–e0131054. 12 indexed citations
15.
Lv, Zhigang, et al.. (2015). Endoscopical Orbital Fat Decompression with Medial Orbital Wall Decompression for Dysthyroid Optic Neuropathy. Current Eye Research. 41(2). 150–158. 28 indexed citations
16.
Pelaez, Daniel, et al.. (2013). Neurogenesis of Neural Crest‐Derived Periodontal Ligament Stem Cells by EGF and bFGF. Journal of Cellular Physiology. 229(4). 479–488. 37 indexed citations
17.
Pelaez, Daniel, Chun-Yuh C. Huang, & Herman S. Cheung. (2013). Isolation of Pluripotent Neural Crest-Derived Stem Cells from Adult Human Tissues by Connexin-43 Enrichment. Stem Cells and Development. 22(21). 2906–2914. 39 indexed citations
18.
Ng, Tsz Kin, Daniel Pelaez, Hoi Kin Wong, et al.. (2012). Nicotine Alters MicroRNA Expression and Hinders Human Adult Stem Cell Regenerative Potential. Stem Cells and Development. 22(5). 781–790. 55 indexed citations
19.
Pelaez, Daniel, et al.. (2012). Periodontal Ligament Cells Cultured Under Steady-Flow Environments Demonstrate Potential for Use in Heart Valve Tissue Engineering. Tissue Engineering Part A. 19(3-4). 458–466. 22 indexed citations
20.
Pelaez, Daniel, Chun-Yuh C. Huang, & Herman S. Cheung. (2008). Cyclic Compression Maintains Viability and Induces Chondrogenesis of Human Mesenchymal Stem Cells in Fibrin Gel Scaffolds. Stem Cells and Development. 18(1). 93–102. 111 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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