J. F. Slattery

608 total citations
20 papers, 450 citations indexed

About

J. F. Slattery is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, J. F. Slattery has authored 20 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 11 papers in Agronomy and Crop Science and 3 papers in Ecology. Recurrent topics in J. F. Slattery's work include Legume Nitrogen Fixing Symbiosis (14 papers), Agronomic Practices and Intercropping Systems (11 papers) and Nematode management and characterization studies (3 papers). J. F. Slattery is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (14 papers), Agronomic Practices and Intercropping Systems (11 papers) and Nematode management and characterization studies (3 papers). J. F. Slattery collaborates with scholars based in Australia, Switzerland and United Kingdom. J. F. Slattery's co-authors include David Coventry, Peter H. Thrall, WJ Slattery, James D. Bever, Linda Broadhurst, Karen Lord, Paul Symonds, Alex J. Mitchell, Ross Ballard and David J. Pearce and has published in prestigious journals such as Cancer, Journal of Clinical Microbiology and Soil Biology and Biochemistry.

In The Last Decade

J. F. Slattery

18 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. F. Slattery Australia 12 317 179 56 53 41 20 450
S. D. Berry South Africa 11 449 1.4× 51 0.3× 5 0.1× 39 0.7× 32 0.8× 42 562
Mohamed Ahmed Egypt 8 116 0.4× 69 0.4× 7 0.1× 14 0.3× 68 1.7× 42 294
Gabriel Ribas Pereira Brazil 15 30 0.1× 179 1.0× 7 0.1× 17 0.3× 8 0.2× 55 559
Michael Gonda United States 11 34 0.1× 143 0.8× 5 0.1× 14 0.3× 7 0.2× 31 484
Gaspar Manuel Parra‐Bracamonte Mexico 11 39 0.1× 98 0.5× 54 1.0× 27 0.5× 2 0.0× 102 588
T. Hess United States 11 22 0.1× 211 1.2× 5 0.1× 17 0.3× 19 0.5× 29 339
Jessica Brown United States 9 104 0.3× 21 0.1× 5 0.1× 10 0.2× 23 0.6× 24 298
EJ Speijers Australia 12 62 0.2× 234 1.3× 2 0.0× 23 0.4× 6 0.1× 33 381
Guolong Yu China 10 148 0.5× 18 0.1× 15 0.3× 33 0.6× 3 0.1× 20 315
A.R. Lehrer Israel 11 19 0.1× 394 2.2× 11 0.2× 14 0.3× 6 0.1× 22 584

Countries citing papers authored by J. F. Slattery

Since Specialization
Citations

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

Fields of papers citing papers by J. F. Slattery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. F. Slattery. 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 J. F. Slattery. The network helps show where J. F. Slattery may publish in the future.

Co-authorship network of co-authors of J. F. Slattery

This figure shows the co-authorship network connecting the top 25 collaborators of J. F. Slattery. A scholar is included among the top collaborators of J. F. Slattery 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 J. F. Slattery. J. F. Slattery 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.
Mitchell, Alex J., et al.. (2012). How feasible is implementation of distress screening by cancer clinicians in routine clinical care?. Cancer. 118(24). 6260–6269. 62 indexed citations
2.
Denton, Matthew D., David J. Pearce, Ross Ballard, et al.. (2009). A multi-site field evaluation of granular inoculants for legume nodulation. Soil Biology and Biochemistry. 41(12). 2508–2516. 26 indexed citations
3.
Thrall, Peter H., James D. Bever, & J. F. Slattery. (2008). Rhizobial mediation of Acacia adaptation to soil salinity: evidence of underlying trade‐offs and tests of expected patterns. Journal of Ecology. 96(4). 746–755. 46 indexed citations
4.
Thrall, Peter H., et al.. (2007). Geographic patterns of symbiont abundance and adaptation in native Australian Acacia–rhizobia interactions. Journal of Ecology. 95(5). 1110–1122. 55 indexed citations
5.
Redden, Bob, et al.. (2005). Pea ( Pisum sativum L.). UWA Profiles and Research Repository (University of Western Australia). 49–83. 26 indexed citations
6.
Ballard, Ross, et al.. (2005). Host range and saprophytic competence of Sinorhizobium meliloti — a comparison of strains for the inoculation of lucerne, strand and disc medics. Australian Journal of Experimental Agriculture. 45(3). 209–216. 8 indexed citations
7.
Hartley, E., et al.. (2005). Age of peat-based lupin and chickpea inoculants in relation to quality and efficacy. Australian Journal of Experimental Agriculture. 45(3). 183–188. 10 indexed citations
8.
Slattery, J. F.. (2004). Effects of resident rhizobial communities and soil type on the effective nodulation of pulse legumes. Soil Biology and Biochemistry. 36(8). 1339–1346. 50 indexed citations
9.
Slattery, J. F., et al.. (2003). Variation in yield of faba bean across southern Australia following rhizobial inoculation. eCite Digital Repository (University of Tasmania). 0–4. 1 indexed citations
10.
Slattery, J. F. & David J. Pearce. (2002). The impact of background rhizobial populations on inoculation response.. 37–45. 2 indexed citations
11.
Slattery, J. F. & David J. Pearce. (2002). Development of Elite Inoculant Rhizobium Strains in Southeastern Australia. 86–94. 3 indexed citations
12.
Slattery, J. F., David Coventry, & WJ Slattery. (2001). Rhizobial ecology as affected by the soil environment. Australian Journal of Experimental Agriculture. 41(3). 289–289. 63 indexed citations
13.
Slattery, J. F. & David Coventry. (1999). Persistence of introduced strains of Rhizobium leguminosarum bv trifolii in acidic soils of north-eastern Victoria. Australian Journal of Experimental Agriculture. 39(7). 829–829. 19 indexed citations
14.
Slattery, J. F. & David Coventry. (1995). Acid-tolerance and symbiotic effectiveness of Rhizobium leguminosarum bv. Trifolii isolated from subterranean clover growing in permanent pastures. Soil Biology and Biochemistry. 27(1). 111–115. 12 indexed citations
16.
Slattery, J. F. & David Coventry. (1989). Populations of Rhizobium lupini in soils used for cereal-lupin rotations in north-east victoria. Soil Biology and Biochemistry. 21(8). 1009–1010. 9 indexed citations
17.
Coloe, Peter J., J. F. Slattery, Paul F. Cavanaugh, & Jill Vaughan. (1986). The cellular fatty acid composition ofCampylobacterspecies isolated from cases of enteritis in man and animals. Journal of Hygiene. 96(2). 225–229. 10 indexed citations
18.
Coloe, Peter J., et al.. (1984). Differentiation of Brucella ovis from Brucella abortus by gas-liquid chromatographic analysis of cellular fatty acids. Journal of Clinical Microbiology. 19(6). 896–898. 11 indexed citations
19.
Coloe, Peter J., et al.. (1984). Differentiation ofBrucella ovisfromBrucella abortus byGas-Liquid Chromatographic Analysis ofCellular Fatty Acids.
20.
Kefford, Bruce, et al.. (1981). Serological identification of avian adenoviruses isolated from cases of inclusion body hepatitis in Victoria, Australia.. PubMed. 24(4). 998–1006. 17 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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