John Barlow

3.3k total citations
99 papers, 2.5k citations indexed

About

John Barlow is a scholar working on Molecular Biology, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, John Barlow has authored 99 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 28 papers in Agronomy and Crop Science and 26 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in John Barlow's work include Thyroid Disorders and Treatments (23 papers), Milk Quality and Mastitis in Dairy Cows (17 papers) and Probiotics and Fermented Foods (15 papers). John Barlow is often cited by papers focused on Thyroid Disorders and Treatments (23 papers), Milk Quality and Mastitis in Dairy Cows (17 papers) and Probiotics and Fermented Foods (15 papers). John Barlow collaborates with scholars based in United States, Australia and Denmark. John Barlow's co-authors include Jan R. Stockigt, Duncan J. Topliss, Elizabeth White, John W. Funder, Y.H. Schukken, Chen‐Fee Lim, George J. Ridgway, Carol Delaney, S McDougall and R. Marks and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John Barlow

95 papers receiving 2.3k 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 Barlow United States 29 654 633 554 399 314 99 2.5k
Theodore H. Elsasser United States 29 329 0.5× 637 1.0× 815 1.5× 412 1.0× 81 0.3× 96 2.7k
Paul Guilloteau France 32 248 0.4× 999 1.6× 831 1.5× 448 1.1× 350 1.1× 125 3.7k
Ted H. Elsasser United States 27 416 0.6× 635 1.0× 736 1.3× 348 0.9× 33 0.1× 86 2.3k
Colin G. Prosser New Zealand 34 322 0.5× 865 1.4× 1.1k 2.0× 919 2.3× 866 2.8× 90 3.3k
Mrinalini C. Rao United States 34 279 0.4× 1.8k 2.9× 248 0.4× 488 1.2× 123 0.4× 99 3.8k
Arlindo A. Moura Brazil 34 342 0.5× 685 1.1× 814 1.5× 703 1.8× 132 0.4× 162 3.4k
G. J. Killian United States 31 245 0.4× 510 0.8× 590 1.1× 430 1.1× 87 0.3× 68 2.8k
G. Bleau Canada 37 398 0.6× 985 1.6× 191 0.3× 629 1.6× 71 0.2× 95 3.3k
H. Sauerwein Germany 40 435 0.7× 745 1.2× 3.0k 5.3× 1.4k 3.5× 225 0.7× 256 5.5k
Stig Purup Denmark 36 273 0.4× 1.8k 2.8× 771 1.4× 1.2k 3.0× 365 1.2× 124 4.0k

Countries citing papers authored by John Barlow

Since Specialization
Citations

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

Fields of papers citing papers by John Barlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Barlow

This figure shows the co-authorship network connecting the top 25 collaborators of John Barlow. A scholar is included among the top collaborators of John Barlow 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 Barlow. John Barlow 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
1.
Lichtenwalner, Anne, et al.. (2025). Whole genome sequencing identifies exotoxin and antimicrobial resistance profiles of Staphylococcus aureus from Maine dairy farms. BMC Veterinary Research. 21(1). 154–154. 2 indexed citations
2.
Godden, S., et al.. (2024). Relationship between facility type and bulk tank milk bacteriology, udder health, udder hygiene, and milk production on Vermont organic dairy farms. Journal of Dairy Science. 107(10). 8534–8553. 1 indexed citations
4.
Neher, Deborah A., et al.. (2021). Design and implementation of a survey quantifying winter housing and bedding types used on Vermont organic dairy farms. Journal of Dairy Science. 104(7). 8326–8337. 6 indexed citations
5.
Fox, Lawrence K., et al.. (2021). Characterization of genetic diversity and population structure within Staphylococcus chromogenes by multilocus sequence typing. PLoS ONE. 16(3). e0243688–e0243688. 13 indexed citations
6.
Lunde, Christopher S., Erin E. Stebbins, Rajiv S. Jumani, et al.. (2019). Identification of a potent benzoxaborole drug candidate for treating cryptosporidiosis. Nature Communications. 10(1). 2816–2816. 44 indexed citations
7.
Sitt, Tatjana, Mary Kenney, José Barrera, et al.. (2019). Duration of protection and humoral immunity induced by an adenovirus-vectored subunit vaccine for foot-and-mouth disease (FMD) in Holstein steers. Vaccine. 37(42). 6221–6231. 12 indexed citations
8.
Eckstrom, Korin & John Barlow. (2019). Resistome metagenomics from plate to farm: The resistome and microbial composition during food waste feeding and composting on a Vermont poultry farm. PLoS ONE. 14(11). e0219807–e0219807. 15 indexed citations
9.
Stebbins, Erin E., Rajiv S. Jumani, John Barlow, et al.. (2018). Clinical and microbiologic efficacy of the piperazine-based drug lead MMV665917 in the dairy calf cryptosporidiosis model. PLoS neglected tropical diseases. 12(1). e0006183–e0006183. 22 indexed citations
11.
Davis, Ian D., Birte K. Skrumsager, Jonathan Cebon, et al.. (2007). An Open-Label, Two-Arm, Phase I Trial of Recombinant Human Interleukin-21 in Patients with Metastatic Melanoma. Clinical Cancer Research. 13(12). 3630–3636. 132 indexed citations
12.
Plaut, Karen, et al.. (2004). Persistency of Adenoviral-Mediated Lysostaphin Expression in Goat Mammary Glands. Journal of Dairy Science. 87(3). 602–608. 15 indexed citations
13.
Tikofsky, L., John Barlow, Carlos Santisteban, & Y.H. Schukken. (2003). A Comparison of Antimicrobial Susceptibility Patterns for Staphylococcus aureus in Organic and Conventional Dairy Herds. Microbial Drug Resistance. 9(1_suppl). 39–45. 64 indexed citations
14.
Plaut, Karen, et al.. (2002). Adenoviral-Mediated Transfer of a Lysostaphin Gene into the Goat Mammary Gland. Journal of Dairy Science. 85(7). 1709–1716. 24 indexed citations
15.
Ewen, Kelly R., Melanie Bahlo, Susan A. Treloar, et al.. (2000). Identification and Analysis of Error Types in High-Throughput Genotyping. The American Journal of Human Genetics. 67(3). 727–736. 161 indexed citations
16.
Barlow, John, et al.. (1996). Preferential Inhibition of Cytoplasmic T 3 Binding Is Associated with Reduced Nuclear Binding in Cultured Cells. Thyroid. 6(1). 47–51. 2 indexed citations
17.
Liang, Hong, et al.. (1994). Synthesis and characterization of anti-idiotypic anti-T4 antibodies. European Journal of Endocrinology. 130(1). 107–112. 1 indexed citations
18.
Barlow, John. (1991). Quality management of finite element analysis. OpenGrey (Institut de l'Information Scientifique et Technique). 93. 11110.
20.
Munro, Sharon L. A., C. F. Lim, Judith G. Hall, et al.. (1989). Drug Competition for Thyroxine Binding to Transthyretin (Prealbumin): Comparison with Effects on Thyroxine-Binding Globulin*. The Journal of Clinical Endocrinology & Metabolism. 68(6). 1141–1147. 78 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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