Catriona Crossan

36 total papers · 491 total citations
14 papers, 335 citations indexed

About

Catriona Crossan is a scholar working on Epidemiology, Economics and Econometrics and Hepatology. According to data from OpenAlex, Catriona Crossan has authored 14 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Economics and Econometrics and 4 papers in Hepatology. Recurrent topics in Catriona Crossan's work include Liver Disease Diagnosis and Treatment (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Hepatitis C virus research (4 papers). Catriona Crossan is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Hepatitis C virus research (4 papers). Catriona Crossan collaborates with scholars based in United Kingdom, Australia and Japan. Catriona Crossan's co-authors include Emmanuel Tsochatzis, Louise Longworth, Konstantinos Mantzoukis, Manuel Rodríguez‐Perálvarez, Julia O’Brien, Kurinchi Selvan Gurusamy, Brian R Davidson, Andrew K. Burroughs, Evangelos Thalassinos and Joanne Lord and has published in prestigious journals such as Hepatology, Journal of Hepatology and Health Technology Assessment.

In The Last Decade

Catriona Crossan

14 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Catriona Crossan 234 185 40 36 30 14 335
Devika Kapuria 173 0.7× 146 0.8× 27 0.7× 38 1.1× 19 0.6× 28 400
Prashant Kotwani 118 0.5× 95 0.5× 28 0.7× 54 1.5× 44 1.5× 13 389
Daniel Newman 219 0.9× 124 0.7× 18 0.5× 77 2.1× 59 2.0× 12 375
Mina Kabiri 241 1.0× 239 1.3× 14 0.3× 36 1.0× 15 0.5× 19 357
Christa Roubicek 125 0.5× 104 0.6× 17 0.4× 35 1.0× 38 1.3× 13 394
Thomas Deleuran 204 0.9× 139 0.8× 11 0.3× 88 2.4× 31 1.0× 21 367
Rachel Abou Mrad 120 0.5× 43 0.2× 11 0.3× 37 1.0× 19 0.6× 11 312
Qianli Yuan 292 1.2× 226 1.2× 7 0.2× 13 0.4× 24 0.8× 16 361
Prowpanga Udompap 266 1.1× 250 1.4× 5 0.1× 43 1.2× 21 0.7× 21 332
David Metz 70 0.3× 44 0.2× 14 0.3× 25 0.7× 9 0.3× 19 357

Countries citing papers authored by Catriona Crossan

Since Specialization
Citations

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

Fields of papers citing papers by Catriona Crossan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catriona Crossan

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