David J. Pattinson

23 total papers · 467 total citations
12 papers, 123 citations indexed

About

David J. Pattinson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Virology. According to data from OpenAlex, David J. Pattinson has authored 12 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Virology. Recurrent topics in David J. Pattinson's work include vaccines and immunoinformatics approaches (6 papers), Malaria Research and Control (3 papers) and HIV Research and Treatment (3 papers). David J. Pattinson is often cited by papers focused on vaccines and immunoinformatics approaches (6 papers), Malaria Research and Control (3 papers) and HIV Research and Treatment (3 papers). David J. Pattinson collaborates with scholars based in Australia, United Kingdom and United States. David J. Pattinson's co-authors include Simon J. Draper, Denise L. Doolan, Simon H. Apte, Penny Groves, Anne‐Marie Andersson, István Tóth, Jennifer M. Marshall, Daniel G. W. Alanine, Sarah E. Silk and Katherine E. Wright and has published in prestigious journals such as Nature, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

David J. Pattinson

12 papers receiving 121 citations

Author Peers

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

Author						Papers	Cites
David J. Pattinson	53	49	39	16	15	12	123
Francis Galaway	74 1.4×	102 2.1×	56 1.4×	9 0.6×	50 3.3×	11	214
Paola Favuzza	51 1.0×	151 3.1×	41 1.1×	4 0.3×	12 0.8×	12	191
Stephen J. Mayclin	144 2.7×	17 0.3×	22 0.6×	18 1.1×	22 1.5×	16	236
Karelia Cosme	62 1.2×	23 0.5×	45 1.2×	3 0.2×	25 1.7×	17	130
Mary Lynn Baniecki	124 2.3×	59 1.2×	28 0.7×	50 3.1×	22 1.5×	12	244
Eloise M. Walker	56 1.1×	105 2.1×	54 1.4×	6 0.4×	55 3.7×	9	200
David B. Heisler	187 3.5×	32 0.7×	76 1.9×	16 1.0×	15 1.0×	12	267
Laura Rodríguez-Noda	93 1.8×	15 0.3×	32 0.8×	12 0.8×	39 2.6×	11	164
Mei-Yu Ren	57 1.1×	27 0.6×	56 1.4×	4 0.3×	10 0.7×	7	142
Xueqing Maggie Lu	112 2.1×	79 1.6×	52 1.3×	6 0.4×	17 1.1×	16	221

Countries citing papers authored by David J. Pattinson

Since Specialization

Citations

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

Fields of papers citing papers by David J. Pattinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Pattinson

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