John M. Neu

642 total citations
10 papers, 520 citations indexed

About

John M. Neu is a scholar working on Molecular Biology, Pharmacology and Infectious Diseases. According to data from OpenAlex, John M. Neu has authored 10 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pharmacology and 2 papers in Infectious Diseases. Recurrent topics in John M. Neu's work include Microbial Natural Products and Biosynthesis (5 papers), Genomics and Phylogenetic Studies (4 papers) and Biochemical and Structural Characterization (2 papers). John M. Neu is often cited by papers focused on Microbial Natural Products and Biosynthesis (5 papers), Genomics and Phylogenetic Studies (4 papers) and Biochemical and Structural Characterization (2 papers). John M. Neu collaborates with scholars based in Canada, United Kingdom and United States. John M. Neu's co-authors include Gerard D. Wright, Christopher T. Walsh, Michael G. Thomas, Brian K. Hubbard, C. Gary Marshall, Lennard P. Niles, Mark S. B. Paget, Mark J. Buttner, Hee‐Jeon Hong and Matthew I. Hutchings and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology and British Journal of Pharmacology.

In The Last Decade

John M. Neu

10 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Neu Canada 9 330 262 100 80 74 10 520
Steven D. Breazeale United States 11 355 1.1× 118 0.5× 69 0.7× 29 0.4× 132 1.8× 12 627
Mark C. Grier United States 8 101 0.3× 146 0.6× 31 0.3× 26 0.3× 55 0.7× 11 345
Sho Takahata Japan 14 160 0.5× 82 0.3× 153 1.5× 74 0.9× 49 0.7× 21 773
Takashi Ohnuki Japan 12 272 0.8× 180 0.7× 88 0.9× 33 0.4× 40 0.5× 29 523
Ian B. Parr United States 6 321 1.0× 274 1.0× 90 0.9× 45 0.6× 21 0.3× 9 423
Andrew L. Staley United States 7 163 0.5× 99 0.4× 66 0.7× 30 0.4× 53 0.7× 8 315
Eduardo José Nepomuceno Montenegro Brazil 11 299 0.9× 297 1.1× 25 0.3× 35 0.4× 90 1.2× 27 509
Rosario Pèrez‐Redondo Spain 16 485 1.5× 478 1.8× 100 1.0× 22 0.3× 55 0.7× 22 615
Aleksandr Milshteyn United States 7 391 1.2× 223 0.9× 28 0.3× 48 0.6× 16 0.2× 7 528
Thierry Hôtelier France 8 422 1.3× 111 0.4× 21 0.2× 20 0.3× 31 0.4× 10 602

Countries citing papers authored by John M. Neu

Since Specialization
Citations

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

Fields of papers citing papers by John M. Neu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Neu

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

All Works

10 of 10 papers shown
1.
Neu, John M.. (2012). Molecular Identification of Bacteria in Tracheal Aspirate Fluid from Mechanically Ventilated Preterm Infants. Yearbook of Neonatal and Perinatal Medicine. 2012. 150–151. 1 indexed citations
2.
Hong, Hee‐Jeon, Matthew I. Hutchings, John M. Neu, et al.. (2004). Characterization of an inducible vancomycin resistance system in Streptomyces coelicolor reveals a novel gene (vanK) required for drug resistance. Molecular Microbiology. 52(4). 1107–1121. 110 indexed citations
3.
Li, Mu, Hua Qian, Thomas E. Ichim, et al.. (2004). Induction of RNA Interference in Dendritic Cells. Immunologic Research. 30(2). 215–230. 19 indexed citations
4.
Neu, John M., et al.. (2002). Glycopeptide Antibiotic Resistance. The Annual Review of Pharmacology and Toxicology. 42(1). 381–408. 132 indexed citations
5.
Thomas, Michael G., C. Gary Marshall, John M. Neu, et al.. (2002). Assembling the glycopeptide antibiotic scaffold: The biosynthesis of from Streptomyces toyocaensis NRRL15009. Proceedings of the National Academy of Sciences. 99(13). 8962–8967. 154 indexed citations
7.
Neu, John M. & Gerard D. Wright. (2001). Inhibition of sporulation, glycopeptide antibiotic production and resistance in Streptomyces toyocaensis NRRL 15009 by protein kinase inhibitors. FEMS Microbiology Letters. 199(1). 15–20. 15 indexed citations
8.
Neu, John M. & Lennard P. Niles. (1997). A marked diurnal rhythm of melatonin ML1A receptor mRNA expression in the suprachiasmatic nucleus. Molecular Brain Research. 49(1-2). 303–306. 34 indexed citations
9.
Tenn, Catherine, John M. Neu, & Lennard P. Niles. (1996). PK 11195 blockade of benzodiazepine‐induced inhibition of forskolin‐stimulated adenylate cyclase activity in the striatum. British Journal of Pharmacology. 119(2). 223–228. 13 indexed citations
10.
Jurima‐Romet, Mallé, et al.. (1995). Induction of CYP3A and associated terfenadineN-dealkylation in rat hepatocytes cocultured with 3T3 cells. Cell Biology and Toxicology. 11(6). 313–327. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026