Paul E. Oran

548 total citations
12 papers, 381 citations indexed

About

Paul E. Oran is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Paul E. Oran has authored 12 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Paul E. Oran's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Paul E. Oran is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Paul E. Oran collaborates with scholars based in United States. Paul E. Oran's co-authors include Randall W. Nelson, Chad R. Borges, Dobrin Nedelkov, Bryan Krastins, Mary F. Lopez, Olgica Trenchevska, Douglas S. Rehder, Michael Athanas, David R. Barnidge and Amol Prakash and has published in prestigious journals such as PLoS ONE, Clinical Chemistry and Journal of Proteome Research.

In The Last Decade

Paul E. Oran

12 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul E. Oran United States 12 234 166 56 45 42 12 381
Vanna Denti Italy 13 208 0.9× 171 1.0× 38 0.7× 18 0.4× 17 0.4× 32 365
Olgica Trenchevska United States 17 361 1.5× 231 1.4× 123 2.2× 8 0.2× 33 0.8× 24 559
Monica Campagnoli Italy 14 306 1.3× 50 0.3× 55 1.0× 14 0.3× 44 1.0× 40 452
Veronica Mainini Italy 14 209 0.9× 207 1.2× 32 0.6× 8 0.2× 12 0.3× 19 486
Michael J. Dunn United States 10 169 0.7× 92 0.6× 22 0.4× 17 0.4× 41 1.0× 12 363
Hari Kosanam Canada 11 278 1.2× 97 0.6× 19 0.3× 13 0.3× 56 1.3× 20 472
Susana Comte‐Walters United States 12 291 1.2× 160 1.0× 9 0.2× 25 0.6× 48 1.1× 16 449
Jiyoung Yu South Korea 10 185 0.8× 74 0.4× 14 0.3× 11 0.2× 13 0.3× 25 332
Luisa Beltran United Kingdom 10 189 0.8× 135 0.8× 77 1.4× 7 0.2× 25 0.6× 13 411
F Langr Czechia 10 229 1.0× 51 0.3× 57 1.0× 34 0.8× 82 2.0× 22 494

Countries citing papers authored by Paul E. Oran

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Oran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Oran. 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 Paul E. Oran. The network helps show where Paul E. Oran may publish in the future.

Co-authorship network of co-authors of Paul E. Oran

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

All Works

12 of 12 papers shown
1.
Nedelkov, Dobrin, Eric E. Niederkofler, Paul E. Oran, Scott Peterman, & Randall W. Nelson. (2017). Top-down mass spectrometric immunoassay for human insulin and its therapeutic analogs. Journal of Proteomics. 175. 27–33. 27 indexed citations
2.
Trenchevska, Olgica, et al.. (2014). Quantitative mass spectrometric immunoassay for the chemokine RANTES and its variants. Journal of Proteomics. 116. 15–23. 17 indexed citations
3.
Oran, Paul E., Olgica Trenchevska, Dobrin Nedelkov, et al.. (2014). Parallel Workflow for High-Throughput (>1,000 Samples/Day) Quantitative Analysis of Human Insulin-Like Growth Factor 1 Using Mass Spectrometric Immunoassay. PLoS ONE. 9(3). e92801–e92801. 43 indexed citations
4.
Borges, Chad R., Olgica Trenchevska, Douglas S. Rehder, et al.. (2014). Mass Spectrometric Immunoassay for the qualitative and quantitative analysis of the cytokine Macrophage Migration Inhibitory Factor (MIF). Proteome Science. 12(1). 52–52. 24 indexed citations
5.
Oran, Paul E., et al.. (2011). Mass spectrometric immunoassay of intact insulin and related variants for population proteomics studies. PROTEOMICS - CLINICAL APPLICATIONS. 5(7-8). 454–459. 31 indexed citations
6.
Borges, Chad R., Paul E. Oran, Matthew R. Schaab, et al.. (2011). Building Multidimensional Biomarker Views of Type 2 Diabetes on the Basis of Protein Microheterogeneity. Clinical Chemistry. 57(5). 719–728. 22 indexed citations
7.
Oran, Paul E., et al.. (2010). C‐peptide microheterogeneity in type 2 diabetes populations. PROTEOMICS - CLINICAL APPLICATIONS. 4(1). 106–111. 11 indexed citations
8.
Oran, Paul E., et al.. (2010). Intrapersonal and Populational Heterogeneity of the Chemokine RANTES. Clinical Chemistry. 56(9). 1432–1441. 16 indexed citations
9.
Borges, Chad R., et al.. (2009). Full-Length Characterization of Proteins in Human Populations. Clinical Chemistry. 56(2). 202–211. 26 indexed citations
10.
Lopez, Mary F., Taha Rezai, David Sarracino, et al.. (2009). Selected Reaction Monitoring–Mass Spectrometric Immunoassay Responsive to Parathyroid Hormone and Related Variants. Clinical Chemistry. 56(2). 281–290. 98 indexed citations
11.
12.
Borges, Chad R., et al.. (2008). Population studies of intact vitamin D binding protein by affinity capture ESI-TOF-MS.. PubMed. 19(3). 167–76. 15 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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