Countries citing papers authored by John D. Collins
Since
Specialization
Citations
This map shows the geographic impact of John D. Collins'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 D. Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Collins more than expected).
This network shows the impact of papers produced by John D. Collins. 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 D. Collins. The network helps show where John D. Collins may publish in the future.
Co-authorship network of co-authors of John D. Collins
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Collins.
A scholar is included among the top collaborators of John D. Collins 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 D. Collins. John D. Collins 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.
Andréoletti, Olivier, Herbert Budka, S. Bunčić, et al.. (2009). SCIENTIFIC OPINION Special measures to reduce the risk for consumers through Salmonella in table eggs - e.g. cooling of table eggs 1 Scientific Opinion of the Panel on Biological Hazards.1 indexed citations
2.
Collins, John D., et al.. (2007). Craniopharyngiomas in Children. Pediatric Neurosurgery. 43(4). 265–278.50 indexed citations
3.
Barlow, Sue, Andrew Chesson, John D. Collins, et al.. (2007). Introduction of a Qualified Presumption of Safety (QPS) approach for assessment of selected microorganisms referred to EFSA 1 Opinion of the Scientific Committee.128 indexed citations
4.
Andréoletti, Olivier, Herbert Budka, S. Bunčić, et al.. (2007). Scientific Opinion of the Panel on Biological Hazards.24 indexed citations
Gormley, Eamonn, et al.. (2003). Tuberculosis in cattle and its control: limitations to the use of the interferon-gamma assay in attested herds. Arrow@dit (Dublin Institute of Technology).1 indexed citations
10.
Griffin, John, David J. Williams, & John D. Collins. (2003). A simulation model for tuberculosis in cattle in Ireland. Arrow@dit (Dublin Institute of Technology).1 indexed citations
Мартин, С., James O’Keeffe, P. Bruce White, John D. Collins, & Victoria L. Edge. (2000). Risk factors for tuberculosis in Irish cattle: the analysis of secondary data. Arrow@dit (Dublin Institute of Technology).3 indexed citations
Collins, John D.. (1997). Meat plant surveillance and its role in the eradication of tuberculosis in cattle. Arrow@dit (Dublin Institute of Technology).13 indexed citations
15.
O’Keeffe, James, et al.. (1997). The role of pre-movement testing in the identification of tuberculin reactor cattle. Research Repository UCD (University College Dublin).1 indexed citations
16.
Griffin, John, et al.. (1996). The prevalence of tuberculosis in herds reconstituted following a depopulation. Research Repository UCD (University College Dublin).5 indexed citations
Collins, John D.. (1995). Factors relevant to the investigation of outbreaks of Mycobacterium bovis infection in cattle. Arrow@dit (Dublin Institute of Technology).1 indexed citations
19.
Collins, John D., et al.. (1994). Tuberculosis in cattle: lesions seen at slaughter. Research Repository UCD (University College Dublin).1 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.