Raymond P. Oomen

828 total citations
18 papers, 648 citations indexed

About

Raymond P. Oomen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Raymond P. Oomen has authored 18 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Raymond P. Oomen's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Influenza Virus Research Studies (3 papers). Raymond P. Oomen is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Influenza Virus Research Studies (3 papers). Raymond P. Oomen collaborates with scholars based in Canada, United States and Netherlands. Raymond P. Oomen's co-authors include N. Martin Young, M. Klein, Yang Xu, Mark Parrington, Thorsten U. Vogel, David R. Bundle, Stephen F. Anderson, Harvey Kaplan, Timothy Alefantis and C. Roger MacKenzie and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Raymond P. Oomen

18 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond P. Oomen Canada 12 301 274 182 179 102 18 648
M A Lety France 13 290 1.0× 119 0.4× 117 0.6× 148 0.8× 142 1.4× 18 688
Negar Seyed Iran 16 267 0.9× 277 1.0× 86 0.5× 191 1.1× 58 0.6× 47 731
D P Fan United States 13 403 1.3× 189 0.7× 133 0.7× 452 2.5× 43 0.4× 25 889
Lorraine C. Pfefferkorn United States 17 388 1.3× 364 1.3× 229 1.3× 312 1.7× 51 0.5× 21 1.0k
Anders Bolmstedt Sweden 17 510 1.7× 223 0.8× 190 1.0× 361 2.0× 280 2.7× 29 1.1k
Peter J. Kniskern United States 17 263 0.9× 307 1.1× 71 0.4× 178 1.0× 32 0.3× 27 712
Hong Xin United States 13 230 0.8× 322 1.2× 52 0.3× 94 0.5× 403 4.0× 23 619
Gerd Lipowsky Latvia 8 171 0.6× 86 0.3× 67 0.4× 109 0.6× 92 0.9× 8 424
Ivan Košík United States 15 377 1.3× 528 1.9× 109 0.6× 293 1.6× 272 2.7× 29 981

Countries citing papers authored by Raymond P. Oomen

Since Specialization
Citations

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

Fields of papers citing papers by Raymond P. Oomen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond P. Oomen. 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 Raymond P. Oomen. The network helps show where Raymond P. Oomen may publish in the future.

Co-authorship network of co-authors of Raymond P. Oomen

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond P. Oomen. A scholar is included among the top collaborators of Raymond P. Oomen 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 Raymond P. Oomen. Raymond P. Oomen 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.
Job, Emma R., Tine Ysenbaert, A. De Smet, et al.. (2018). Broadened immunity against influenza by vaccination with computationally designed influenza virus N1 neuraminidase constructs. npj Vaccines. 3(1). 55–55. 36 indexed citations
2.
Carter, Donald M., Corey J. Crevar, Timothy Alefantis, et al.. (2016). Design and Characterization of a Computationally Optimized Broadly Reactive Hemagglutinin Vaccine for H1N1 Influenza Viruses. Journal of Virology. 90(9). 4720–4734. 144 indexed citations
3.
Ansaldi, Filippo, Paola Canepa, Antonella Ceravolo, et al.. (2012). Intanza® 15mcg intradermal influenza vaccine elicits cross-reactive antibody responses against heterologous A(H3N2) influenza viruses. Vaccine. 30(18). 2908–2913. 21 indexed citations
4.
Oloo, E.O., Jeremy A. Yethon, Martina M. Ochs, Bruce Carpick, & Raymond P. Oomen. (2011). Structure-guided Antigen Engineering Yields Pneumolysin Mutants Suitable for Vaccination against Pneumococcal Disease. Journal of Biological Chemistry. 286(14). 12133–12140. 27 indexed citations
5.
Oomen, Raymond P., et al.. (2006). Predicting the subcellular localization of viral proteins within a mammalian host cell. Virology Journal. 3(1). 24–24. 9 indexed citations
6.
7.
Li, Xiaomao, Suryaprakash Sambhara, G A Cates, et al.. (2000). Plasmid DNA Encoding the Respiratory Syncytial Virus G Protein Is a Promising Vaccine Candidate. Virology. 269(1). 54–65. 57 indexed citations
8.
Cates, G A, et al.. (2000). Properties of recombinant HtrA: an otitis media vaccine candidate antigen from non-typeable Haemophilus influenzae.. PubMed. 103. 201–4. 5 indexed citations
9.
Young, N. Martin, C. Roger MacKenzie, Saran A. Narang, Raymond P. Oomen, & John E. Baenziger. (1995). Thermal stabilization of a single‐chain Fv antibody fragment by introduction of a disulphide bond. FEBS Letters. 377(2). 135–139. 57 indexed citations
10.
Xu, Yang, Raymond P. Oomen, & M. Klein. (1994). Residue at position 331 in the IgG1 and IgG4 CH2 domains contributes to their differential ability to bind and activate complement.. Journal of Biological Chemistry. 269(5). 3469–3474. 60 indexed citations
11.
Young, N. Martin, et al.. (1993). Characterisation of residues in antibody binding sites by chemical modification of surface-adsorbed protein combined with enzyme immunoassay. Journal of Immunological Methods. 158(2). 215–227. 5 indexed citations
12.
Rose, David R., M. Przybylska, Rebecca To, et al.. (1993). Crystal structure to 2.45 Å resolution of a monoclonal Fab specific for the Brucella A cell wall polysaccharide antigen. Protein Science. 2(7). 1106–1113. 44 indexed citations
13.
Isenman, David E., et al.. (1993). Identification of a secondary Fc gamma RI binding site within a genetically engineered human IgG antibody.. Journal of Biological Chemistry. 268(33). 25124–25131. 12 indexed citations
14.
Oomen, Raymond P. & Harvey Kaplan. (1992). Similarities in melittin function group reactivities during self-association and association with lipid bilayers. Biochemistry. 31(25). 5698–5704. 8 indexed citations
15.
Young, N. Martin & Raymond P. Oomen. (1992). Analysis of sequence variation among legume lectins. Journal of Molecular Biology. 228(3). 924–934. 91 indexed citations
16.
Oomen, Raymond P., N. Martin Young, & David R. Bundle. (1991). Molecular modeling of antibody–antigen complexes between the Brucella abortus O-chain polysaccharide and a specific monoclonal antibody. Protein Engineering Design and Selection. 4(4). 427–433. 24 indexed citations
17.
Oomen, Raymond P. & Harvey Kaplan. (1990). Binding of glucagon to lipid bilayers. Biochemistry and Cell Biology. 68(1). 284–291. 5 indexed citations
18.
Oomen, Raymond P. & Harvey Kaplan. (1987). Competitive labeling as an approach to defining the binding surfaces of proteins: binding of monomeric insulin to lipid bilayers. Biochemistry. 26(1). 303–308. 9 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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