Naim Matasci

3.3k total citations
14 papers, 570 citations indexed

About

Naim Matasci is a scholar working on Molecular Biology, Plant Science and Information Systems and Management. According to data from OpenAlex, Naim Matasci has authored 14 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Information Systems and Management. Recurrent topics in Naim Matasci's work include Genomics and Phylogenetic Studies (3 papers), Fermentation and Sensory Analysis (2 papers) and Cell Image Analysis Techniques (2 papers). Naim Matasci is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Fermentation and Sensory Analysis (2 papers) and Cell Image Analysis Techniques (2 papers). Naim Matasci collaborates with scholars based in United States, Canada and Australia. Naim Matasci's co-authors include Sheldon McKay, Brian J. Enquist, Juan A. Raygoza Garay, Brad Boyle, Martha L. Narro, Dmitry Mozzherin, William H. Piel, Chris Freeland, Zhenyuan Lu and Robert K. Peet and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Experimental Botany.

In The Last Decade

Naim Matasci

14 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naim Matasci United States 7 205 182 171 171 110 14 570
Sonia Herrando‐Moraira Spain 11 229 1.1× 86 0.5× 162 0.9× 153 0.9× 129 1.2× 27 447
Arthur D. Chapman Australia 10 161 0.8× 123 0.7× 90 0.5× 123 0.7× 220 2.0× 24 483
Eduardo Estrada‐Castillón Mexico 19 261 1.3× 218 1.2× 95 0.6× 343 2.0× 49 0.4× 113 905
Jiahui Chen China 17 210 1.0× 79 0.4× 354 2.1× 236 1.4× 41 0.4× 39 779
Anton Güntsch Germany 15 141 0.7× 69 0.4× 249 1.5× 124 0.7× 295 2.7× 65 730
Álvaro J. Pérez Ecuador 10 176 0.9× 118 0.6× 73 0.4× 63 0.4× 53 0.5× 51 310
Ferozah Conrad South Africa 5 298 1.5× 99 0.5× 381 2.2× 200 1.2× 44 0.4× 5 687
Patrick W. Sweeney United States 15 514 2.5× 251 1.4× 243 1.4× 325 1.9× 320 2.9× 32 889
M. Montserrat Martínez‐Ortega Spain 17 438 2.1× 85 0.5× 282 1.6× 485 2.8× 94 0.9× 65 806

Countries citing papers authored by Naim Matasci

Since Specialization
Citations

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

Fields of papers citing papers by Naim Matasci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naim Matasci

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

All Works

14 of 14 papers shown
1.
Ung, Nolan, et al.. (2024). A novel thin plate spline methodology to model tissue surfaces and quantify tumor cell invasion in organ-on-chip models. SLAS DISCOVERY. 29(4). 100163–100163. 1 indexed citations
2.
Walsh, David, Sumana Srivatsa, Renee D. George, et al.. (2023). Individualized treatment estimates to inform on personalized cancer care decisions for treatment selection and treatment management.. Journal of Clinical Oncology. 41(16_suppl). e13571–e13571. 1 indexed citations
3.
Chambliss, Allison B, Xingyao Chen, Carolina Garri, et al.. (2023). Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population. Practical Laboratory Medicine. 36. e00323–e00323. 1 indexed citations
4.
Ung, Nolan, Cameron Goldbeck, Ren Sun, et al.. (2022). Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection. Frontiers in Immunology. 13. 831103–831103. 11 indexed citations
5.
Ung, Nolan, Seungil Kim, Roy Lau, et al.. (2021). Imaging-Based Machine Learning Analysis of Patient-Derived Tumor Organoid Drug Response. Frontiers in Oncology. 11. 771173–771173. 29 indexed citations
6.
Carpenter, Eric, Naim Matasci, Saravanaraj Ayyampalayam, et al.. (2019). Access to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP). GigaScience. 8(10). 113 indexed citations
7.
Matasci, Naim, et al.. (2019). Monitoring dynamic cytotoxic chemotherapy response in castration-resistant prostate cancer using plasma cell-free DNA (cfDNA). BMC Research Notes. 12(1). 275–275. 21 indexed citations
8.
Miller, Allison J., Naim Matasci, Heidi Schwaninger, et al.. (2014). Correction: Vitis Phylogenomics: Hybridization Intensities from a SNP Array Outperform Genotype Calls. PLoS ONE. 9(1). 1 indexed citations
9.
Matasci, Naim, et al.. (2014). Data mining with iPlant: A meeting report from the 2013 GARNet workshop, Data mining with iPlant. Journal of Experimental Botany. 66(1). 1–6. 8 indexed citations
10.
Miller, Allison J., Naim Matasci, Heidi Schwaninger, et al.. (2013). Vitis Phylogenomics: Hybridization Intensities from a SNP Array Outperform Genotype Calls. PLoS ONE. 8(11). e78680–e78680. 38 indexed citations
11.
Boyle, Brad, Zhenyuan Lu, Juan A. Raygoza Garay, et al.. (2013). The taxonomic name resolution service: an online tool for automated standardization of plant names. BMC Bioinformatics. 14(1). 16–16. 336 indexed citations
12.
Matasci, Naim & Sheldon McKay. (2013). Phylogenetic Analysis with the iPlant Discovery Environment. Current Protocols in Bioinformatics. 42(1). 6.13.1–6.13.13. 4 indexed citations
13.
Rogowitz, Bernice E. & Naim Matasci. (2011). Metadata Mapper: a web service for mapping data between independent visual analysis components, guided by perceptual rules. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7865. 78650I–78650I. 2 indexed citations
14.
Goff, Stephen A., Matthew Vaughn, Sheldon McKay, et al.. (2011). Frontiers: The iPlant Collaborative: Cyberinfrastructure for Plant Biology. 4 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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