John R. Sheedy

22 total papers · 579 total citations
16 papers, 438 citations indexed

About

John R. Sheedy is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John R. Sheedy has authored 16 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John R. Sheedy's work include Reproductive Biology and Fertility (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and NMR spectroscopy and applications (2 papers). John R. Sheedy is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and NMR spectroscopy and applications (2 papers). John R. Sheedy collaborates with scholars based in Australia, Brazil and Bulgaria. John R. Sheedy's co-authors include David K. Gardner, Paul R. Gooley, Henry L. Butt, Neil McGregor, Natalie J. Hannan, Natalie Binder, Denis B. Scanlon, Richard E.H. Wettenhall, Donald P. Lewis and David Stapleton and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

John R. Sheedy

15 papers receiving 422 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John R. Sheedy	191	96	75	69	49	16	438
P. Leclerc	67 0.4×	60 0.6×	28 0.4×	32 0.5×	29 0.6×	20	440
Michelle Mackenzie	148 0.8×	25 0.3×	136 1.8×	35 0.5×	18 0.4×	29	475
Ramazan Bilgin	87 0.5×	100 1.0×	61 0.8×	31 0.4×	5 0.1×	31	443
Alaa-Eldin Salah-Eldin	177 0.9×	69 0.7×	68 0.9×	16 0.2×	35 0.7×	19	449
Xuemei Liu	125 0.7×	34 0.4×	32 0.4×	34 0.5×	33 0.7×	22	401
Ousa Thanangkul	92 0.5×	28 0.3×	135 1.8×	44 0.6×	17 0.3×	17	481
M. Sawada	95 0.5×	29 0.3×	73 1.0×	36 0.5×	35 0.7×	20	371
William McK. Jefferies	63 0.3×	35 0.4×	28 0.4×	55 0.8×	83 1.7×	28	398
Prabhakar Singh	106 0.6×	21 0.2×	62 0.8×	165 2.4×	65 1.3×	22	387
Belén Chanclón	130 0.7×	11 0.1×	102 1.4×	57 0.8×	76 1.6×	17	442

Countries citing papers authored by John R. Sheedy

Since Specialization

Citations

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

Fields of papers citing papers by John R. Sheedy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Sheedy

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

All Works

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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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