John E. MacNair

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

John E. MacNair is a scholar working on Epidemiology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John E. MacNair has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Spectroscopy and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John E. MacNair's work include Pneumonia and Respiratory Infections (6 papers), Respiratory viral infections research (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). John E. MacNair is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Respiratory viral infections research (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). John E. MacNair collaborates with scholars based in United States, Israel and Finland. John E. MacNair's co-authors include James W. Jorgenson, Kenneth C. Lewis, Kamlesh D. Patel, Michael A. Winters, M. Arthur Moseley, Gregory J. Opiteck, Narahari S. Pujar, Jonathan Hartzel, Luwy Musey and Chitrananda Abeygunawardana and has published in prestigious journals such as The Journal of Immunology, Analytical Chemistry and Vaccine.

In The Last Decade

John E. MacNair

9 papers receiving 1.0k citations

Hit Papers

Ultrahigh-Pressure Reversed-Phase Liquid Chromatography i... 1997 2026 2006 2016 1997 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. MacNair United States 8 777 601 326 182 173 9 1.0k
Hongfeng Yin United States 18 601 0.8× 708 1.2× 704 2.2× 145 0.8× 44 0.3× 20 1.7k
Ahmad Amini Sweden 19 731 0.9× 638 1.1× 262 0.8× 6 0.0× 123 0.7× 38 1.0k
Yuqin Dai Canada 10 318 0.4× 68 0.1× 204 0.6× 24 0.1× 65 0.4× 16 488
Dirk B Strickmann Germany 11 275 0.4× 249 0.4× 61 0.2× 17 0.1× 43 0.2× 12 495
M. Rafiqul Islam Saudi Arabia 13 276 0.4× 182 0.3× 72 0.2× 108 0.6× 105 0.6× 23 469
Michael Mecklenburg Sweden 15 43 0.1× 192 0.3× 313 1.0× 140 0.8× 28 0.2× 36 709
Eliza N. Fung United States 14 239 0.3× 303 0.5× 264 0.8× 14 0.1× 33 0.2× 18 675
E. R. Campbell United States 8 162 0.2× 121 0.2× 45 0.1× 187 1.0× 92 0.5× 8 401
Anastasia Albert Germany 10 195 0.3× 57 0.1× 86 0.3× 18 0.1× 99 0.6× 11 366
M. Petsch Austria 13 66 0.1× 93 0.2× 113 0.3× 79 0.4× 25 0.1× 16 348

Countries citing papers authored by John E. MacNair

Since Specialization
Citations

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

Fields of papers citing papers by John E. MacNair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. MacNair

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

All Works

9 of 9 papers shown
1.
Xie, Jinfu, Yuhua Zhang, William J. Smith, et al.. (2019). Immunogenicity Comparison of a Next Generation Pneumococcal Conjugate Vaccine in Animal Models and Human Infants. The Pediatric Infectious Disease Journal. 39(1). 70–77. 8 indexed citations
2.
Greenberg, David, Timo Vesikari, David Hurley, et al.. (2018). Safety and immunogenicity of 15-valent pneumococcal conjugate vaccine (PCV15) in healthy infants. Vaccine. 36(45). 6883–6891. 78 indexed citations
4.
Skinner, Julie M., Jayme Cannon, Jeffrey T. Blue, et al.. (2011). Pre-clinical evaluation of a 15-valent pneumococcal conjugate vaccine (PCV15-CRM197) in an infant-rhesus monkey immunogenicity model. Vaccine. 29(48). 8870–8876. 67 indexed citations
5.
Skinner, Julie M., Michael A. Winters, John E. MacNair, et al.. (2010). Preclinical evaluation of a 15-valent pneumococcal polysaccharide-protein conjugate vaccine in infant rhesus monkeys (52.20). The Journal of Immunology. 184(Supplement_1). 52.20–52.20. 2 indexed citations
6.
7.
MacNair, John E., Kamlesh D. Patel, & James W. Jorgenson. (1999). Ultrahigh-Pressure Reversed-Phase Capillary Liquid Chromatography:  Isocratic and Gradient Elution Using Columns Packed with 1.0-μm Particles. Analytical Chemistry. 71(3). 700–708. 325 indexed citations
8.
MacNair, John E., Gregory J. Opiteck, James W. Jorgenson, & M. Arthur Moseley. (1997). Rapid separation and characterization of protein and peptide mixtures using 1.5 μm diameter non-porous silica in packed capillary liquid chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 11(12). 1279–1285. 40 indexed citations
9.
MacNair, John E., Kenneth C. Lewis, & James W. Jorgenson. (1997). Ultrahigh-Pressure Reversed-Phase Liquid Chromatography in Packed Capillary Columns. Analytical Chemistry. 69(6). 983–989. 481 indexed citations breakdown →

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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