Katherine Cox

42 total papers · 1.0k total citations
27 papers, 667 citations indexed

About

Katherine Cox is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Katherine Cox has authored 27 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Physiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Katherine Cox's work include Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Vitamin D Research Studies (4 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Katherine Cox is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Vitamin D Research Studies (4 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Katherine Cox collaborates with scholars based in Australia, United States and United Kingdom. Katherine Cox's co-authors include Andrew Scholey, Andrew Pipingas, David White, Corey E. Ventetuolo, Norbert Weißmann, Bradley A. Maron, Natascha Sommer, Madeleine Duvic, David Camfield and Jerome Sarris and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Katherine Cox

26 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Katherine Cox 211 147 119 85 77 27 667
Lu Zhang 189 0.9× 45 0.3× 119 1.0× 59 0.7× 34 0.4× 27 749
Hamit Çelik 123 0.6× 40 0.3× 206 1.7× 73 0.9× 31 0.4× 24 793
Shameemah Abrahams 76 0.4× 127 0.9× 142 1.2× 27 0.3× 70 0.9× 20 622
Rohith N. Thota 349 1.7× 108 0.7× 185 1.6× 18 0.2× 63 0.8× 33 779
Feti Tülübaş 123 0.6× 66 0.4× 105 0.9× 48 0.6× 24 0.3× 33 648
Amin Mokhtari‐Zaer 71 0.3× 61 0.4× 206 1.7× 38 0.4× 11 0.1× 21 636
Qianhui Shang 160 0.8× 40 0.3× 170 1.4× 35 0.4× 23 0.3× 30 601
Rama Vaidya 88 0.4× 53 0.4× 189 1.6× 17 0.2× 65 0.8× 46 767
Li Cui 99 0.5× 99 0.7× 80 0.7× 97 1.1× 9 0.1× 18 755
Marilyn S. Campbell 216 1.0× 114 0.8× 107 0.9× 21 0.2× 71 0.9× 29 722

Countries citing papers authored by Katherine Cox

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Cox

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