Romel Dator

1.2k total citations · 1 hit paper
18 papers, 959 citations indexed

About

Romel Dator is a scholar working on Molecular Biology, Neurology and Biomedical Engineering. According to data from OpenAlex, Romel Dator has authored 18 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Biomedical Engineering. Recurrent topics in Romel Dator's work include Metabolomics and Mass Spectrometry Studies (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Romel Dator is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Romel Dator collaborates with scholars based in United States, China and Austria. Romel Dator's co-authors include Min Shi, Cyrus P. Zabetian, Jing Zhang, Patrick Aro, Joseph F. Quinn, Yanchun Zhao, Elaine R. Peskind, Douglas Galasko, Carmen Ginghină and Silvia Balbo and has published in prestigious journals such as Molecular Cell, Analytical Chemistry and Annals of Surgery.

In The Last Decade

Romel Dator

18 papers receiving 956 citations

Hit Papers

Plasma exosomal α-synuclein is likely CNS-derived and inc... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romel Dator United States 12 601 246 197 140 112 18 959
Pamela Milani United States 16 650 1.1× 151 0.6× 111 0.6× 40 0.3× 64 0.6× 22 936
Yong Shen China 15 611 1.0× 87 0.4× 247 1.3× 86 0.6× 142 1.3× 31 926
Nir Arbel Israel 10 1.2k 2.0× 218 0.9× 170 0.9× 63 0.5× 191 1.7× 12 1.6k
Jennifer Wettmarshausen Germany 9 559 0.9× 59 0.2× 60 0.3× 61 0.4× 98 0.9× 10 863
Raquel Gómez‐Sintes Spain 14 658 1.1× 59 0.2× 72 0.4× 75 0.5× 200 1.8× 21 1.3k
Deepa V. Dabir United States 14 664 1.1× 76 0.3× 73 0.4× 152 1.1× 286 2.6× 17 1.0k
Tiziana Alberio Italy 20 414 0.7× 310 1.3× 34 0.2× 93 0.7× 160 1.4× 47 973
Lucas A. Maddalena Canada 11 580 1.0× 52 0.2× 118 0.6× 40 0.3× 175 1.6× 18 905
John J. Shacka United States 12 417 0.7× 223 0.9× 54 0.3× 71 0.5× 222 2.0× 13 1.1k
Xue Sun China 16 325 0.5× 66 0.3× 60 0.3× 42 0.3× 52 0.5× 40 675

Countries citing papers authored by Romel Dator

Since Specialization
Citations

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

Fields of papers citing papers by Romel Dator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romel Dator

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

All Works

18 of 18 papers shown
1.
Li, Yupeng, et al.. (2023). Mass Spectrometry-Based Metabolic Profiling of Urinary Metabolites of N′-Nitrosonornicotine (NNN) in the Rat. Chemical Research in Toxicology. 36(5). 769–781. 2 indexed citations
2.
Dator, Romel, Kevin Murray, Fekadu Kassie, et al.. (2022). Identification of Formaldehyde-Induced DNA–RNA Cross-Links in the A/J Mouse Lung Tumorigenesis Model. Chemical Research in Toxicology. 35(11). 2025–2036. 14 indexed citations
3.
Dator, Romel, Peter W. Villalta, J. Vernon Jensen, et al.. (2020). Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk. Chemical Research in Toxicology. 33(8). 2087–2098. 14 indexed citations
4.
Carrà, Andrea, Romel Dator, Pramod Upadhyaya, et al.. (2019). Targeted High Resolution LC/MS3 Adductomics Method for the Characterization of Endogenous DNA Damage. Frontiers in Chemistry. 7. 658–658. 29 indexed citations
5.
Dator, Romel, et al.. (2019). Bioanalytical and Mass Spectrometric Methods for Aldehyde Profiling in Biological Fluids. Toxics. 7(2). 32–32. 39 indexed citations
6.
Dator, Romel, Linda B. von Weymarn, Peter W. Villalta, et al.. (2018). In Vivo Stable-Isotope Labeling and Mass-Spectrometry-Based Metabolic Profiling of a Potent Tobacco-Specific Carcinogen in Rats. Analytical Chemistry. 90(20). 11863–11872. 10 indexed citations
7.
Li, Yang, Tessandra Stewart, Min Shi, et al.. (2017). An alpha‐synuclein MRM assay with diagnostic potential for Parkinson's disease and monitoring disease progression. PROTEOMICS - CLINICAL APPLICATIONS. 11(7-8). 13 indexed citations
8.
Ronnekleiv‐Kelly, Sean M., Manabu Nukaya, Peter Geiger, et al.. (2016). The Aryl Hydrocarbon Receptor is a Repressor of Inflammation-associated Colorectal Tumorigenesis in Mouse. Annals of Surgery. 264(3). 429–436. 80 indexed citations
9.
Dator, Romel, et al.. (2016). A High Resolution/Accurate Mass (HRAM) Data-Dependent MS3 Neutral Loss Screening, Classification, and Relative Quantitation Methodology for Carbonyl Compounds in Saliva. Journal of the American Society for Mass Spectrometry. 28(4). 608–618. 25 indexed citations
10.
Shi, Min, Romel Dator, Patrick Aro, et al.. (2015). Cerebrospinal Fluid Peptides as Potential Parkinson Disease Biomarkers: A Staged Pipeline for Discovery and Validation*. Molecular & Cellular Proteomics. 14(3). 544–555. 53 indexed citations
11.
Lin, Xiangmin, Min Shi, J. Gunasingh Masilamoni, et al.. (2015). Proteomic profiling in MPTP monkey model for early Parkinson disease biomarker discovery. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(7). 779–787. 24 indexed citations
12.
Shi, Min, Changqin Liu, Travis J. Cook, et al.. (2014). Plasma exosomal α-synuclein is likely CNS-derived and increased in Parkinson’s disease. Acta Neuropathologica. 128(5). 639–650. 522 indexed citations breakdown →
13.
Dator, Romel, Kirk W. Gaston, & Patrick A. Limbach. (2014). Multiple Enzymatic Digestions and Ion Mobility Separation Improve Quantification of Bacterial Ribosomal Proteins by Data Independent Acquisition Liquid Chromatography−Mass Spectrometry. Analytical Chemistry. 86(9). 4264–4270. 10 indexed citations
14.
Pan, Catherine, Yong Zhou, Romel Dator, et al.. (2014). Targeted Discovery and Validation of Plasma Biomarkers of Parkinson’s Disease. Journal of Proteome Research. 13(11). 4535–4545. 29 indexed citations
15.
Soper, Sarah F. Clatterbuck, Romel Dator, Patrick A. Limbach, & Sarah A. Woodson. (2013). In Vivo X-Ray Footprinting of Pre-30S Ribosomes Reveals Chaperone-Dependent Remodeling of Late Assembly Intermediates. Molecular Cell. 52(4). 506–516. 83 indexed citations
16.
Dator, Romel, et al.. (2010). Cancer chemotherapeutic potential of endemic and indigenous plants of Kanawan, Morong, Bataan Province, Philippines. 20(2). 331–339. 6 indexed citations
17.
Dator, Romel, et al.. (2009). Murihexocin C from the Leaves of Annona squamosa Linn. Induces Apoptosis in Human Colon Carcinoma Col 2 Cell Line. Philippine Agricultural Scientist. 92(2). 122–132. 5 indexed citations
18.
Dator, Romel, et al.. (2006). Antioxidant activity of flavonoids and other polyphenols isolated from Annona squamosa Linn. leaf extracts. European Journal of Cancer Supplements. 4(1). 58–58. 1 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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