Christopher R. Cox

24 total papers · 892 total citations
20 papers, 677 citations indexed

About

Christopher R. Cox is a scholar working on Clinical Biochemistry, Epidemiology and Molecular Biology. According to data from OpenAlex, Christopher R. Cox has authored 20 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Biochemistry, 7 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Christopher R. Cox's work include Bacterial Identification and Susceptibility Testing (8 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Christopher R. Cox is often cited by papers focused on Bacterial Identification and Susceptibility Testing (8 papers), Infective Endocarditis Diagnosis and Management (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Christopher R. Cox collaborates with scholars based in United States, United Kingdom and South Korea. Christopher R. Cox's co-authors include Michael S. Gilmore, Kent J. Voorhees, Phillip S. Coburn, Susanta K. Sarkar, Lokender Kumar, Parveen Sharma, Christopher E. Goldring, Stephen M. Lynch, Robert B. Cody and Herbert P. Schweizer and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Christopher R. Cox

20 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Christopher R. Cox	258	191	117	103	94	20	677
Giuseppina Cacace	372 1.4×	31 0.2×	48 0.4×	91 0.9×	24 0.3×	16	680
Katharina Nöbauer	303 1.2×	20 0.1×	38 0.3×	47 0.5×	84 0.9×	34	689
Atanas Radkov	379 1.5×	26 0.1×	51 0.4×	31 0.3×	38 0.4×	20	685
Thiago Luiz de Paula Castro	249 1.0×	44 0.2×	15 0.1×	109 1.1×	36 0.4×	32	732
Blythe E. Janowiak	369 1.4×	90 0.5×	51 0.4×	9 0.1×	59 0.6×	22	672
Zhiru Li	157 0.6×	140 0.7×	81 0.7×	11 0.1×	63 0.7×	24	558
Rafael J. Martinez	323 1.3×	29 0.2×	28 0.2×	21 0.2×	66 0.7×	19	777
Supaporn Lamlertthon	250 1.0×	125 0.7×	28 0.2×	71 0.7×	43 0.5×	32	646
Snehal Kadam	299 1.2×	18 0.1×	96 0.8×	53 0.5×	29 0.3×	24	746
Javier Valle	411 1.6×	22 0.1×	27 0.2×	42 0.4×	64 0.7×	54	734

Countries citing papers authored by Christopher R. Cox

Since Specialization

Citations

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

Fields of papers citing papers by Christopher R. Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher R. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Cox. A scholar is included among the top collaborators of Christopher R. Cox 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 Christopher R. Cox. Christopher R. Cox 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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