Peter Ells

52 total papers · 431 total citations
17 papers, 322 citations indexed

About

Peter Ells is a scholar working on Epidemiology, Surgery and Hepatology. According to data from OpenAlex, Peter Ells has authored 17 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Surgery and 5 papers in Hepatology. Recurrent topics in Peter Ells's work include Liver Disease Diagnosis and Treatment (3 papers), Histiocytic Disorders and Treatments (3 papers) and Liver Disease and Transplantation (3 papers). Peter Ells is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Histiocytic Disorders and Treatments (3 papers) and Liver Disease and Transplantation (3 papers). Peter Ells collaborates with scholars based in United States. Peter Ells's co-authors include Catherine R. Messina, Patricia Hubbard, Roger Grimson, Joseph C. Anderson, Zvi Alpern, Douglas L. Brand, Hwajeong Lee, Edward A. Smuckler, Robert Stern and Scheffer C.G. Tseng and has published in prestigious journals such as New England Journal of Medicine, Hepatology and The American Journal of Gastroenterology.

In The Last Decade

Peter Ells

15 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Peter Ells 167 107 106 88 88 17 322
Koos de Wit 82 0.5× 47 0.4× 65 0.6× 126 1.4× 116 1.3× 15 253
Chao-Sheng Liao 167 1.0× 49 0.5× 100 0.9× 111 1.3× 71 0.8× 11 346
R Ferraris 125 0.7× 35 0.3× 77 0.7× 71 0.8× 42 0.5× 29 276
Hidesuke Yanagida 105 0.6× 27 0.3× 92 0.9× 65 0.7× 94 1.1× 32 359
Wentao Wang 83 0.5× 32 0.3× 56 0.5× 86 1.0× 163 1.9× 21 320
Sanjay Ramrakhiani 102 0.6× 26 0.2× 81 0.8× 155 1.8× 110 1.3× 21 309
A Minardi 97 0.6× 117 1.1× 63 0.6× 30 0.3× 40 0.5× 14 359
Mario Uribe 50 0.3× 42 0.4× 43 0.4× 42 0.5× 71 0.8× 21 276
Regina Maria Cubero Leitão 70 0.4× 34 0.3× 33 0.3× 92 1.0× 121 1.4× 23 318
Keiichi Nagao 46 0.3× 62 0.6× 69 0.7× 56 0.6× 63 0.7× 34 286

Countries citing papers authored by Peter Ells

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Ells

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