Elisabetta Fenu

31 total papers · 615 total citations
18 papers, 405 citations indexed

About

Elisabetta Fenu is a scholar working on Epidemiology, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Elisabetta Fenu has authored 18 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Economics and Econometrics and 4 papers in General Health Professions. Recurrent topics in Elisabetta Fenu's work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Clinical practice guidelines implementation (3 papers) and Inflammatory Bowel Disease (3 papers). Elisabetta Fenu is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (5 papers), Clinical practice guidelines implementation (3 papers) and Inflammatory Bowel Disease (3 papers). Elisabetta Fenu collaborates with scholars based in United Kingdom, Switzerland and Spain. Elisabetta Fenu's co-authors include Norma O’Flynn, Bruce Guthrie, Caroline Farmer, Gerard Stansby, Sarah Hodgkinson, Lee‐Yee Chong, G. Ritchie, Katharina Dworzynski, E. Diane Playford and Laura Sawyer and has published in prestigious journals such as Blood, Annals of Internal Medicine and BMJ.

In The Last Decade

Elisabetta Fenu

16 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Elisabetta Fenu	167	107	69	67	60	18	405
Vladislav Berdunov	138 0.8×	71 0.7×	78 1.1×	94 1.4×	39 0.7×	23	401
Canopy Roychoudhury	91 0.5×	94 0.9×	39 0.6×	97 1.4×	39 0.7×	12	414
Angela Wadham	85 0.5×	134 1.3×	60 0.9×	44 0.7×	58 1.0×	24	448
Aurélie Bannay	131 0.8×	37 0.3×	35 0.5×	40 0.6×	100 1.7×	17	472
Virginia Becerra	103 0.6×	117 1.1×	20 0.3×	40 0.6×	36 0.6×	15	449
Federico Ricciardi	101 0.6×	67 0.6×	120 1.7×	68 1.0×	31 0.5×	34	482
Tetsuya Otsubo	94 0.6×	99 0.9×	14 0.2×	130 1.9×	36 0.6×	35	390
Alina A. Luke	105 0.6×	82 0.8×	11 0.2×	198 3.0×	43 0.7×	16	427
Jared Davis	81 0.5×	35 0.3×	32 0.5×	33 0.5×	124 2.1×	18	444
Caroline Farmer	114 0.7×	103 1.0×	69 1.0×	75 1.1×	10 0.2×	20	418

Countries citing papers authored by Elisabetta Fenu

Since Specialization

Citations

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

Fields of papers citing papers by Elisabetta Fenu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Fenu

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