Jonathan J. Whittall

26 total papers · 559 total citations
16 papers, 358 citations indexed

About

Jonathan J. Whittall is a scholar working on Molecular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Jonathan J. Whittall has authored 16 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Medicine, 6 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Jonathan J. Whittall's work include Antibiotic Resistance in Bacteria (7 papers), Pneumonia and Respiratory Infections (4 papers) and Bacterial Infections and Vaccines (3 papers). Jonathan J. Whittall is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Pneumonia and Respiratory Infections (4 papers) and Bacterial Infections and Vaccines (3 papers). Jonathan J. Whittall collaborates with scholars based in Australia, Ethiopia and China. Jonathan J. Whittall's co-authors include Christopher A. McDevitt, Henrietta Venter, Paul N. Reynolds, Rhys Hamon, Miranda P. Ween, Bart A. Eijkelkamp, Sandra Hodge, Victoria G. Pederick, James C. Paton and Stephanie L. Neville and has published in prestigious journals such as The Science of The Total Environment, Journal of Bacteriology and International Journal of Molecular Sciences.

In The Last Decade

Jonathan J. Whittall

14 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Jonathan J. Whittall	114	87	80	50	47	16	358
Azmiza Syawani Jasni	137 1.2×	66 0.8×	120 1.5×	16 0.3×	44 0.9×	23	323
N. Harnett	71 0.6×	72 0.8×	71 0.9×	15 0.3×	44 0.9×	23	328
Claudia Cramer	142 1.2×	105 1.2×	32 0.4×	38 0.8×	17 0.4×	13	384
Se Yeon Kim	178 1.6×	78 0.9×	49 0.6×	61 1.2×	71 1.5×	18	357
Shannon LeBlanc	155 1.4×	83 1.0×	48 0.6×	27 0.5×	26 0.6×	15	404
Tessa Horemans	172 1.5×	26 0.3×	40 0.5×	13 0.3×	19 0.4×	9	330
W. Love	141 1.2×	75 0.9×	104 1.3×	33 0.7×	45 1.0×	21	380
Karen Bean	192 1.7×	41 0.5×	44 0.6×	11 0.2×	38 0.8×	8	402
Annie I. Chen	206 1.8×	38 0.4×	76 0.9×	8 0.2×	38 0.8×	10	357
Benjamin A. Siranosian	245 2.1×	54 0.6×	57 0.7×	50 1.0×	32 0.7×	11	356

Countries citing papers authored by Jonathan J. Whittall

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan J. Whittall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J. Whittall

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