DaRue A. Prieto

3.2k citations
34 papers · 1.8k indexed · 1 hit paper · h-index 18
Topics
Advanced Proteomics Techniques and Applications (19 papers)Mass Spectrometry Techniques and Applications (15 papers)Molecular Biology Techniques and Applications (8 papers)

In The Last Decade

DaRue A. Prieto

34 papers receiving 1.8k citations

Hit Papers

Characterization of the Low Molecular Weight Human Serum ...20032026201020182003200400600

Peers

DaRue A. Prieto
Comparison fields: 5 of 116
  • Molecular Biology 1.1k
  • Spectroscopy 860
  • Oncology 204
  • Immunology 192
  • Radiology, Nuclear Medicine and Imaging 187
Replace Rebekah L. Gundry with:
Rebekah L. Gundry United States
Michael Burgess United States
N L Anderson United States
Peggi M. Angel United States
Hasmik Keshishian United States
Qin Su China
Eric C. Huang United States
Lennard J. M. Dekker Netherlands
Sophia Doll Germany
Rémi Longuespée Germany
DaRue A. Prieto relative to Rebekah L. Gundry United States Rebekah L. Gundry's profile →
Citations per field
00.5×1.6×
Rebekah L. Gundry · 1×
Citations per year

Countries citing papers authored by DaRue A. Prieto

Since Specialization
Citations

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

Fields of papers citing papers by DaRue A. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DaRue A. Prieto. 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 DaRue A. Prieto. The network helps show where DaRue A. Prieto may publish in the future.

Co-authorship network of co-authors of DaRue A. Prieto

This figure shows the co-authorship network connecting the top 25 collaborators of DaRue A. Prieto. A scholar is included among the top collaborators of DaRue A. Prieto 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 DaRue A. Prieto. DaRue A. Prieto 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
#WorkIndexed citations
1 2
2 5
3 5
4 20
5 2
6 13
7 2
8 14
9 15
10 83
11 2
12 80
13 33
14 158
15 46
16 31
17
Characterization of the Low Molecular Weight Human Serum Proteomebreakdown →
682
18 148
19 4
20 33

About DaRue A. Prieto

DaRue A. Prieto is a scholar working on Spectroscopy, Molecular Biology and Virology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (19 papers), Mass Spectrometry Techniques and Applications (15 papers) and Molecular Biology Techniques and Applications (8 papers). The work is most often cited by research in Spectroscopy (860 citations), Molecular Biology (1.1k citations) and Cancer Research (139 citations). DaRue A. Prieto has collaborated with scholars based in United States, Sweden and Ireland. Frequent co-authors include Timothy D. Veenstra, Thomas P. Conrads, Haleem J. Issaq, Radhakrishna S. Tirumalai, King C. Chan, Zhen Xiao, Josip Blonder, Donald J. Johann, Ming Zhou and David A. Lucas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

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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