Danielle Vellucci

783 total citations
7 papers, 600 citations indexed

About

Danielle Vellucci is a scholar working on Spectroscopy, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Danielle Vellucci has authored 7 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Spectroscopy, 3 papers in Molecular Biology and 2 papers in Organic Chemistry. Recurrent topics in Danielle Vellucci's work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Enzyme Structure and Function (2 papers). Danielle Vellucci is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Enzyme Structure and Function (2 papers). Danielle Vellucci collaborates with scholars based in United States. Danielle Vellucci's co-authors include Scott D. Rychnovsky, Lan Huang, Athit Kao, Shenheng Guan, Yingying Yang, Vishal R. Patel, Pierre Baldi, Arlo Randall, Robyn M. Kaake and Wynne V. Kandur and has published in prestigious journals such as Organic Letters, Molecular & Cellular Proteomics and Organic & Biomolecular Chemistry.

In The Last Decade

Danielle Vellucci

7 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Vellucci United States 7 378 376 113 91 75 7 600
John K. Chik United States 10 247 0.7× 75 0.2× 242 2.1× 61 0.7× 40 0.5× 16 511
Christian Manz Germany 10 322 0.9× 167 0.4× 53 0.5× 21 0.2× 136 1.8× 13 426
Mathias Q. Müller Germany 11 416 1.1× 413 1.1× 54 0.5× 55 0.6× 18 0.2× 13 650
Chenyun Guo China 13 427 1.1× 102 0.3× 20 0.2× 93 1.0× 44 0.6× 58 534
Athit Kao United States 11 456 1.2× 456 1.2× 133 1.2× 117 1.3× 36 0.5× 13 700
Trivikram R. Molugu United States 7 452 1.2× 68 0.2× 39 0.3× 43 0.5× 30 0.4× 24 569
Takashi Nishikaze Japan 17 536 1.4× 380 1.0× 73 0.6× 27 0.3× 190 2.5× 36 710
Elena Matei United States 12 305 0.8× 46 0.1× 47 0.4× 87 1.0× 117 1.6× 12 415
Chiara Lee United Kingdom 6 495 1.3× 53 0.1× 58 0.5× 43 0.5× 12 0.2× 8 603

Countries citing papers authored by Danielle Vellucci

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Vellucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Vellucci

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

All Works

7 of 7 papers shown
1.
Kandur, Wynne V., Athit Kao, Danielle Vellucci, Lan Huang, & Scott D. Rychnovsky. (2015). Design of CID-cleavable protein cross-linkers: identical mass modifications for simpler sequence analysis. Organic & Biomolecular Chemistry. 13(38). 9793–9807. 11 indexed citations
2.
Burke, Anthony M., Wynne V. Kandur, Eric J. Novitsky, et al.. (2015). Synthesis of two new enrichable and MS-cleavable cross-linkers to define protein–protein interactions by mass spectrometry. Organic & Biomolecular Chemistry. 13(17). 5030–5037. 44 indexed citations
3.
Kaake, Robyn M., Xiaorong Wang, Anthony M. Burke, et al.. (2014). A New in Vivo Cross-linking Mass Spectrometry Platform to Define Protein–Protein Interactions in Living Cells. Molecular & Cellular Proteomics. 13(12). 3533–3543. 154 indexed citations
4.
Mittapalli, Gopi Kumar, Danielle Vellucci, Jun Yang, et al.. (2012). Synthesis and SAR of selective small molecule neuropeptide Y Y2 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 22(12). 3916–3920. 15 indexed citations
5.
Kao, Athit, Danielle Vellucci, Yingying Yang, et al.. (2010). Development of a Novel Cross-linking Strategy for Fast and Accurate Identification of Cross-linked Peptides of Protein Complexes. Molecular & Cellular Proteomics. 10(1). M110.002170–M110.002170. 306 indexed citations
6.
Vellucci, Danielle, Athit Kao, Robyn M. Kaake, Scott D. Rychnovsky, & Lan Huang. (2010). Selective enrichment and identification of azide-tagged cross-linked peptides using chemical ligation and mass spectrometry. Journal of the American Society for Mass Spectrometry. 21(8). 1432–1445. 32 indexed citations
7.
Vellucci, Danielle & Scott D. Rychnovsky. (2007). Diastereoselective Synthesis of the Pectenotoxin 2 Non-Anomeric AB Spiroacetal. Organic Letters. 9(4). 711–714. 38 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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