Sue Ellis

14 total papers · 410 total citations
11 papers, 331 citations indexed

About

Sue Ellis is a scholar working on Oncology, Orthopedics and Sports Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sue Ellis has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Orthopedics and Sports Medicine and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sue Ellis's work include Bone health and treatments (7 papers), Bone health and osteoporosis research (4 papers) and Cancer Diagnosis and Treatment (2 papers). Sue Ellis is often cited by papers focused on Bone health and treatments (7 papers), Bone health and osteoporosis research (4 papers) and Cancer Diagnosis and Treatment (2 papers). Sue Ellis collaborates with scholars based in United Kingdom, Australia and Ireland. Sue Ellis's co-authors include David Robertson, Lynda M. Foulds, Sandra A. Gutcher, Janet E. Brown, Robert E. Coleman, O.P. Purohit, C S Thomson, Jock K. Findlay, B. M. Bindon and Janet Horsman and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Endocrinology.

In The Last Decade

Sue Ellis

11 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Sue Ellis	185	75	64	59	59	11	331
Luciano Mariani	109 0.6×	18 0.2×	35 0.5×	42 0.7×	2 0.0×	15	349
Shengfu Chen	86 0.5×	6 0.1×	36 0.6×	90 1.5×	8 0.1×	12	294
Mateya Trinkaus	108 0.6×	60 0.8×	36 0.6×	13 0.2×		13	250
Sally Hope	184 1.0×	20 0.3×	33 0.5×	14 0.2×		10	289
Janice Manzi Sabatine	27 0.1×	11 0.1×	19 0.3×	106 1.8×	10 0.2×	9	363
Kyung Hee Han	26 0.1×	71 0.9×	36 0.6×	105 1.8×	2 0.0×	15	324
J. Hunn	86 0.5×	16 0.2×	23 0.4×	136 2.3×	3 0.1×	9	366
Novak Er	29 0.2×	6 0.1×	52 0.8×	203 3.4×	9 0.2×	12	344
Eva Wahle	43 0.2×	2 0.0×	29 0.5×	107 1.8×	16 0.3×	10	348
Nour Nicolas	13 0.1×	8 0.1×	10 0.2×	151 2.6×	23 0.4×	10	342

Countries citing papers authored by Sue Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Sue Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Ellis

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