Rodrigo Vargas Eguez

1.6k total citations
9 papers, 399 citations indexed

About

Rodrigo Vargas Eguez is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Rodrigo Vargas Eguez has authored 9 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Spectroscopy and 1 paper in Organic Chemistry. Recurrent topics in Rodrigo Vargas Eguez's work include Advanced Proteomics Techniques and Applications (8 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). Rodrigo Vargas Eguez is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). Rodrigo Vargas Eguez collaborates with scholars based in United States, Poland and Ethiopia. Rodrigo Vargas Eguez's co-authors include Yanbao Yu, Harinder Singh, Gobena Ameni, Shiferaw Bekele, Milkessa Hailemariam, Rembert Pieper, Shao‐Yung Chen, Hui Zhang, T. Mamie Lih and Mingming Dong and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Theranostics.

In The Last Decade

Rodrigo Vargas Eguez

9 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rodrigo Vargas Eguez United States	8	292	170	37	27	27	9	399
Hyoung–Joo Lee South Korea	14	278 1.0×	156 0.9×	36 1.0×	41 1.5×	29 1.1×	23	402
Annie Ha Canada	4	352 1.2×	251 1.5×	35 0.9×	35 1.3×	28 1.0×	9	505
Pey Yee Lee Malaysia	11	360 1.2×	193 1.1×	43 1.2×	65 2.4×	49 1.8×	18	542
Connor A. West United States	9	347 1.2×	163 1.0×	63 1.7×	28 1.0×	23 0.9×	11	415
Charandeep Singh India	11	258 0.9×	95 0.6×	19 0.5×	10 0.4×	26 1.0×	23	401
Eva C. Keilhauer Germany	8	499 1.7×	106 0.6×	33 0.9×	44 1.6×	30 1.1×	9	623
James Fulcher United States	11	238 0.8×	87 0.5×	87 2.4×	15 0.6×	12 0.4×	26	414
Yanlong Ji Germany	10	277 0.9×	148 0.9×	52 1.4×	82 3.0×	16 0.6×	14	410
Barbora Šalovská Czechia	14	393 1.3×	161 0.9×	29 0.8×	73 2.7×	56 2.1×	34	515

Countries citing papers authored by Rodrigo Vargas Eguez

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo Vargas Eguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo Vargas Eguez. 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 Rodrigo Vargas Eguez. The network helps show where Rodrigo Vargas Eguez may publish in the future.

Co-authorship network of co-authors of Rodrigo Vargas Eguez

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

All Works

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9 of 9 papers shown

Cao, Liwei, T. Mamie Lih, Yingwei Hu, et al.. (2022). Characterization of core fucosylation via sequential enzymatic treatments of intact glycopeptides and mass spectrometry analysis. Nature Communications. 13(1). 3910–3910. 28 indexed citations

Song, Jin, Shiyong Ma, Lori J. Sokoll, et al.. (2021). A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer. Theranostics. 11(13). 6214–6224. 17 indexed citations

Lin, Yi‐Han, et al.. (2021). Lab-on-a-Filter Techniques for Economical, Effective, and Flexible Proteome Analysis. Methods in molecular biology. 2261. 25–34. 2 indexed citations

Dong, Mingming, T. Mamie Lih, Minghui Ao, et al.. (2021). Data-Independent Acquisition-Based Mass Spectrometry (DIA-MS) for Quantitative Analysis of Intact N-Linked Glycopeptides. Analytical Chemistry. 93(41). 13774–13782. 21 indexed citations

Dong, Mingming, T. Mamie Lih, Shao‐Yung Chen, et al.. (2020). Urinary glycoproteins associated with aggressive prostate cancer. Theranostics. 10(26). 11892–11907. 27 indexed citations

Zhou, Yangying, T. Mamie Lih, Jianbo Pan, et al.. (2020). Proteomic signatures of 16 major types of human cancer reveal universal and cancer-type-specific proteins for the identification of potential therapeutic targets. Journal of Hematology & Oncology. 13(1). 170–170. 37 indexed citations

Yu, Yanbao, Aubrie O’Rourke, Yi‐Han Lin, et al.. (2020). Predictive Signatures of 19 Antibiotic-Induced Escherichia coli Proteomes. ACS Infectious Diseases. 6(8). 2120–2129. 8 indexed citations

Lin, Yi‐Han, Rodrigo Vargas Eguez, Manolito Torralba, et al.. (2019). Self-Assembled STrap for Global Proteomics and Salivary Biomarker Discovery. Journal of Proteome Research. 18(4). 1907–1915. 37 indexed citations

Hailemariam, Milkessa, Rodrigo Vargas Eguez, Harinder Singh, et al.. (2018). S-Trap, an Ultrafast Sample-Preparation Approach for Shotgun Proteomics. Journal of Proteome Research. 17(9). 2917–2924. 222 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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