John A. Browne

4.0k total citations
108 papers, 2.7k citations indexed

About

John A. Browne is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, John A. Browne has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 28 papers in Epidemiology and 26 papers in Genetics. Recurrent topics in John A. Browne's work include Reproductive Physiology in Livestock (23 papers), Mycobacterium research and diagnosis (22 papers) and Tuberculosis Research and Epidemiology (19 papers). John A. Browne is often cited by papers focused on Reproductive Physiology in Livestock (23 papers), Mycobacterium research and diagnosis (22 papers) and Tuberculosis Research and Epidemiology (19 papers). John A. Browne collaborates with scholars based in Ireland, United Kingdom and United States. John A. Browne's co-authors include Ann M. Burnell, Alan Tunnacliffe, David E. MacHugh, Stephen V. Gordon, Nicolas Nalpas, David A. Magee, Kshamata Goyal, Eamonn Gormley, Paul McGettigan and Trudee Fair and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

John A. Browne

102 papers receiving 2.6k 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 A. Browne Ireland 31 870 529 499 454 440 108 2.7k
Ross L. Tellam Australia 41 2.5k 2.9× 558 1.1× 729 1.5× 324 0.7× 898 2.0× 107 5.5k
Douglas N. Foster United States 30 1.4k 1.6× 333 0.6× 630 1.3× 353 0.8× 739 1.7× 99 3.3k
Paul M. Coussens United States 38 1.5k 1.7× 634 1.2× 690 1.4× 1.6k 3.5× 771 1.8× 105 4.0k
Christopher J. Davies United States 31 834 1.0× 739 1.4× 953 1.9× 323 0.7× 611 1.4× 85 2.6k
Li Gao China 29 660 0.8× 183 0.3× 501 1.0× 1.3k 2.8× 603 1.4× 169 2.9k
Muhammad Munir United Kingdom 28 667 0.8× 530 1.0× 478 1.0× 1.1k 2.4× 219 0.5× 153 2.7k
Armand Sánchez Spain 42 1.6k 1.8× 745 1.4× 268 0.5× 615 1.4× 2.7k 6.2× 217 6.0k
Luc Jouneau France 29 1.3k 1.5× 142 0.3× 1.1k 2.2× 187 0.4× 396 0.9× 91 3.1k
Gavin S. Wilkie United Kingdom 28 1.4k 1.6× 181 0.3× 358 0.7× 820 1.8× 241 0.5× 55 2.7k
Nitin K. Saksena Australia 37 901 1.0× 411 0.8× 1.2k 2.4× 731 1.6× 129 0.3× 140 3.8k

Countries citing papers authored by John A. Browne

Since Specialization
Citations

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

Fields of papers citing papers by John A. Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Browne

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Browne. A scholar is included among the top collaborators of John A. Browne 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 A. Browne. John A. Browne 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.
Talukder, Anup Kumar, A. Al Naib, Solomon Mamo, et al.. (2025). Specificity protein 1 (SP1) plays an essential role in early bovine embryo development. Theriogenology. 242. 117455–117455.
2.
Talukder, Anup Kumar, Michael McDonald, John A. Browne, et al.. (2024). Response of bovine endometrium to interferon tau in the presence of lipopolysaccharide. Theriogenology. 229. 169–177. 2 indexed citations
3.
Randhawa, Imtiaz A. S., John A. Browne, Ana M. Pérez O’Brien, et al.. (2024). Genomic insights into the population history and adaptive traits of Latin American Criollo cattle. Royal Society Open Science. 11(3). 231388–231388. 3 indexed citations
4.
Sánchez, José María, S.G. Moore, Michael McDonald, et al.. (2023). Fertility in seasonal-calving pasture-based lactating dairy cows following timed artificial insemination or timed embryo transfer with fresh or frozen in vitro–produced embryos. Journal of Dairy Science. 107(3). 1788–1804. 12 indexed citations
5.
Browne, John A., et al.. (2023). Optimised Stable Lighting Strengthens Circadian Clock Gene Rhythmicity in Equine Hair Follicles. Animals. 13(14). 2335–2335. 7 indexed citations
6.
Ryan, Marion T., Hanne Jahns, Carmel T. Mooney, et al.. (2023). The comparative performance of a custom Canine NanoString® panel on FFPE and snap frozen liver biopsies. Research in Veterinary Science. 159. 225–231. 1 indexed citations
7.
Hall, Thomas J., Michael P. Mullen, Kate E. Killick, et al.. (2023). Integrative and comparative genomic analyses of mammalian macrophage responses to intracellular mycobacterial pathogens. Tuberculosis. 147. 102453–102453. 3 indexed citations
8.
Browne, John A., et al.. (2022). The prevalence and distribution of Anaplasma phagocytophilum genotypes in Ixodes ricinus nymphs collected from farm- and woodland sites in Ireland. Ticks and Tick-borne Diseases. 13(3). 101928–101928. 3 indexed citations
9.
10.
Guan, Qingtian, Musa A. Garbati, Sara Mfarrej, et al.. (2021). Insights into the ancestry evolution of theMycobacterium tuberculosiscomplex from analysis ofMycobacterium riyadhense. NAR Genomics and Bioinformatics. 3(3). 8 indexed citations
11.
Hall, Thomas J., Michael P. Mullen, Kate E. Killick, et al.. (2021). Integrative genomics of the mammalian alveolar macrophage response to intracellular mycobacteria. BMC Genomics. 22(1). 7 indexed citations
12.
McLoughlin, Kirsten E., Carolina N. Correia, John A. Browne, et al.. (2021). RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected With Mycobacterium bovis Across an Experimental Time Course. Frontiers in Veterinary Science. 8. 662002–662002. 9 indexed citations
13.
14.
Sánchez, José María, Claudia Passaro, Niamh Forde, et al.. (2018). Do differences in the endometrial transcriptome between uterine horns ipsilateral and contralateral to the corpus luteum influence conceptus growth to day 14 in cattle?†. Biology of Reproduction. 100(1). 86–100. 24 indexed citations
15.
Meade, Kieran G., Nicolas Nalpas, John A. Browne, et al.. (2015). Analysis of the Bovine Monocyte-Derived Macrophage Response to Mycobacterium avium Subspecies Paratuberculosis Infection Using RNA-seq. Frontiers in Immunology. 6. 23–23. 37 indexed citations
16.
Good, Barbara, J. P. Hanrahan, Paul McGettigan, et al.. (2015). Variation in the Ovine Abomasal Lymph Node Transcriptome between Breeds Known to Differ in Resistance to the Gastrointestinal Nematode. PLoS ONE. 10(5). e0124823–e0124823. 18 indexed citations
17.
Moore, S.G., S. Scully, John A. Browne, Trudee Fair, & S.T. Butler. (2014). Genetic merit for fertility traits in Holstein cows: V. Factors affecting circulating progesterone concentrations. Journal of Dairy Science. 97(9). 5543–5557. 36 indexed citations
18.
Oliveira, Lilian J., Alan G. Fahey, John A. Browne, et al.. (2013). Characterization of the Th Profile of the Bovine Endometrium during the Oestrous Cycle and Early Pregnancy. PLoS ONE. 8(10). e75571–e75571. 65 indexed citations
19.
Mansouri-Attia, N., Lilian J. Oliveira, Niamh Forde, et al.. (2012). Pivotal Role for Monocytes/Macrophages and Dendritic Cells in Maternal Immune Response to the Developing Embryo in Cattle1. Biology of Reproduction. 87(5). 123–123. 55 indexed citations
20.

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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