Fiona Campbell

26 total papers · 1.3k total citations
19 papers, 1.0k citations indexed

About

Fiona Campbell is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Surgery. According to data from OpenAlex, Fiona Campbell has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Fiona Campbell's work include Cardiovascular Conditions and Treatments (12 papers), Congenital Heart Disease Studies (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Fiona Campbell is often cited by papers focused on Cardiovascular Conditions and Treatments (12 papers), Congenital Heart Disease Studies (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Fiona Campbell collaborates with scholars based in Australia, United States and Malaysia. Fiona Campbell's co-authors include Lindsay Brown, Hemant Poudyal, Mark D. Kittleson, Andrew Fenning, Md Ashraful Alam, Sunil K. Panchal, Leigh C. Ward, Vishal Diwan, Kate Kauter and Conrad Sernia and has published in prestigious journals such as Journal of Nutrition, American Journal of Physiology-Gastrointestinal and Liver Physiology and Toxicon.

In The Last Decade

Fiona Campbell

19 papers receiving 997 citations

Author Peers

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

Author Last Decade Papers Cites
Fiona Campbell 336 298 225 214 183 19 1.0k
Pier Marco Piatti 133 0.4× 78 0.3× 229 1.0× 315 1.5× 257 1.4× 32 1.0k
Ana Paula Silva Caldas 190 0.6× 40 0.1× 228 1.0× 134 0.6× 148 0.8× 19 871
Chiara Mozzini 166 0.5× 65 0.2× 76 0.3× 143 0.7× 215 1.2× 47 1.2k
W. Falholt 135 0.4× 37 0.1× 199 0.9× 224 1.0× 161 0.9× 21 956
Tiago Gomes Araújo 169 0.5× 121 0.4× 140 0.6× 305 1.4× 51 0.3× 23 883
Swathi Kovelamudi 231 0.7× 35 0.1× 244 1.1× 188 0.9× 235 1.3× 13 853
George-Angelo Papamikroulis 194 0.6× 35 0.1× 264 1.2× 172 0.8× 201 1.1× 24 1.1k
Susan E. Aeschlimann 130 0.4× 66 0.2× 131 0.6× 160 0.7× 518 2.8× 25 1.2k
Hyun Jung Lee 252 0.8× 40 0.1× 94 0.4× 112 0.5× 89 0.5× 31 840
Kangmin Yang 227 0.7× 48 0.2× 69 0.3× 236 1.1× 74 0.4× 31 1.2k

Countries citing papers authored by Fiona Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Campbell

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