Julie Cox

65 total papers · 561 total citations
32 papers, 372 citations indexed

About

Julie Cox is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Julie Cox has authored 32 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Julie Cox's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Breast Cancer Treatment Studies (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Julie Cox is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Breast Cancer Treatment Studies (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). Julie Cox collaborates with scholars based in United Kingdom, United States and Mexico. Julie Cox's co-authors include W. Simpson, David Walshaw, Simon T. Adams, Yitka Graham, Nicholas Simpson, C.S. Munro, Elizabeth R. Hauser, Svati H. Shah, Simon G. Gregory and Carol Haynes and has published in prestigious journals such as The Lancet, PLoS Genetics and British Journal of Dermatology.

In The Last Decade

Julie Cox

29 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Julie Cox	103	92	79	78	63	32	372
Ling Chen	205 2.0×	64 0.7×	84 1.1×	90 1.2×	50 0.8×	28	351
Sun Wook Han	61 0.6×	70 0.8×	81 1.0×	54 0.7×	47 0.7×	38	387
Alessandra Di Sibio	84 0.8×	72 0.8×	46 0.6×	98 1.3×	85 1.3×	33	398
Sharon White	64 0.6×	76 0.8×	35 0.4×	38 0.5×	87 1.4×	27	387
Şeyma Yıldız	90 0.9×	134 1.5×	67 0.8×	132 1.7×	99 1.6×	38	419
Füsun Taşkın	91 0.9×	94 1.0×	57 0.7×	149 1.9×	76 1.2×	35	355
Kouichi Isobe	163 1.6×	105 1.1×	25 0.3×	61 0.8×	71 1.1×	30	429
E Procaccini	46 0.4×	91 1.0×	87 1.1×	97 1.2×	188 3.0×	25	432
Kazunari Maekawa	70 0.7×	98 1.1×	33 0.4×	43 0.6×	97 1.5×	32	421
Hankui Lu	72 0.7×	50 0.5×	39 0.5×	49 0.6×	102 1.6×	31	427

Countries citing papers authored by Julie Cox

Since Specialization

Citations

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

Fields of papers citing papers by Julie Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Cox

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