David G. Partridge

109 total papers · 10.9k total citations
39 papers, 462 citations indexed

About

David G. Partridge is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, David G. Partridge has authored 39 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 12 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in David G. Partridge's work include Orthopedic Infections and Treatments (6 papers), COVID-19 Clinical Research Studies (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). David G. Partridge is often cited by papers focused on Orthopedic Infections and Treatments (6 papers), COVID-19 Clinical Research Studies (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). David G. Partridge collaborates with scholars based in United Kingdom, United States and Saudi Arabia. David G. Partridge's co-authors include Dennis R. DeVries, Robert Townsend, Ann Chapman, Michael W. McKendrick, Steven M. Sammons, I Stockley, Helena Parsons, Michael J. Maceina, Reginald R. Cooper and Andrew C. Gordon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Marine Ecology Progress Series.

In The Last Decade

David G. Partridge

37 papers receiving 440 citations

Author Peers

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

Author						Papers	Cites
David G. Partridge	156	153	94	75	74	39	462
Laurel A. Degernes	125 0.8×	38 0.2×	55 0.6×	51 0.7×	29 0.4×	41	519
Paola De Angelis	166 1.1×	43 0.3×	35 0.4×	139 1.9×	13 0.2×	32	446
Kenji Okada	112 0.7×	71 0.5×	33 0.4×	9 0.1×	18 0.2×	52	417
Chen–Chi Tsai	147 0.9×	273 1.8×	104 1.1×	31 0.4×	15 0.2×	41	490
Stuart C. Clark‐Price	111 0.7×	22 0.1×	47 0.5×	30 0.4×	28 0.4×	41	426
Fabio Di Nocera	84 0.5×	44 0.3×	14 0.1×	12 0.2×	110 1.5×	43	432
William Davis	71 0.5×	51 0.3×	41 0.4×	2 0.0×	34 0.5×	29	428
K. Hable Rhodes	163 1.0×	188 1.2×	173 1.8×	6 0.1×	8 0.1×	16	508
Andrea Corso	85 0.5×	119 0.8×	14 0.1×	6 0.1×	18 0.2×	42	483
Hamed Goodarzi	131 0.8×	116 0.8×	175 1.9×	16 0.2×		29	472

Countries citing papers authored by David G. Partridge

Since Specialization

Citations

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

Fields of papers citing papers by David G. Partridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Partridge

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