J. Craig Argyle

32 total papers · 884 total citations
27 papers, 642 citations indexed

About

J. Craig Argyle is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, J. Craig Argyle has authored 27 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Infectious Diseases. Recurrent topics in J. Craig Argyle's work include Acute Lymphoblastic Leukemia research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Antifungal resistance and susceptibility (2 papers). J. Craig Argyle is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Antifungal resistance and susceptibility (2 papers). J. Craig Argyle collaborates with scholars based in United States. J. Craig Argyle's co-authors include C. Dale Poulter, E.A. Mash, Ronald J. Hogg, Fred G. Silva, George H. McCracken, Eugene A. Mash, E J Hansen, Daniel A. Savino, Robert Wyatt and Joan Reisch and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.

In The Last Decade

J. Craig Argyle

27 papers receiving 617 citations

Author Peers

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

Author						Papers	Cites
J. Craig Argyle	230	93	86	81	75	27	642
John Savill	239 1.0×	66 0.7×	106 1.2×	77 1.0×	112 1.5×	27	703
David R. Blais	229 1.0×	89 1.0×	34 0.4×	45 0.6×	45 0.6×	25	764
Leslie Obert	121 0.5×	216 2.3×	52 0.6×	41 0.5×	39 0.5×	29	768
Jolene Kay Berg	136 0.6×	198 2.1×	55 0.6×	172 2.1×	86 1.1×	25	785
Arifa Nazneen	227 1.0×	74 0.8×	113 1.3×	48 0.6×	28 0.4×	34	749
Linying Zhou	402 1.7×	120 1.3×	119 1.4×	30 0.4×	22 0.3×	37	778
Muhammad Baluom	116 0.5×	57 0.6×	25 0.3×	70 0.9×	93 1.2×	20	778
K. Sack	86 0.4×	155 1.7×	65 0.8×	58 0.7×	35 0.5×	76	619
Kaushal K Prasad	87 0.4×	132 1.4×	52 0.6×	140 1.7×	80 1.1×	39	555
F. Touraine	185 0.8×	78 0.8×	42 0.5×	34 0.4×	59 0.8×	22	610

Countries citing papers authored by J. Craig Argyle

Since Specialization

Citations

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

Fields of papers citing papers by J. Craig Argyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Craig Argyle

This figure shows the co-authorship network connecting the top 25 collaborators of J. Craig Argyle. A scholar is included among the top collaborators of J. Craig Argyle 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. Craig Argyle. J. Craig Argyle 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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