Naomi Winn

29 total papers · 420 total citations
15 papers, 265 citations indexed

About

Naomi Winn is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naomi Winn has authored 15 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Rheumatology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naomi Winn's work include Musculoskeletal synovial abnormalities and treatments (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Naomi Winn is often cited by papers focused on Musculoskeletal synovial abnormalities and treatments (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Naomi Winn collaborates with scholars based in United Kingdom, Canada and United States. Naomi Winn's co-authors include Victor N. Cassar‐Pullicino, Radhesh Lalam, Jacob L. Jaremko, R. Lambert, Lei Liu, Janet Ellsworth, Paul Cool, Bernhard Tins, Walter P. Maksymowych and Julie Cox and has published in prestigious journals such as Lara D. Veeken, British Journal of Radiology and The Journal of Rheumatology.

In The Last Decade

Naomi Winn

15 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Naomi Winn	148	95	66	51	48	15	265
Niall Jones	152 1.0×	47 0.5×	61 0.9×	26 0.5×	19 0.4×	11	302
Peter Schneider	97 0.7×	34 0.4×	116 1.8×	58 1.1×	27 0.6×	9	316
J. L. Bloem	147 1.0×	49 0.5×	81 1.2×	16 0.3×	50 1.0×	18	255
Valentina Picerno	152 1.0×	35 0.4×	67 1.0×	39 0.8×	45 0.9×	23	251
D Nieto Ibanez	177 1.2×	46 0.5×	26 0.4×	26 0.5×	61 1.3×	13	263
Giulia Succio	66 0.4×	30 0.3×	112 1.7×	49 1.0×	26 0.5×	15	283
Heikki Piirainen	107 0.7×	103 1.1×	74 1.1×	8 0.2×	16 0.3×	18	306
P. Anttila	123 0.8×	40 0.4×	104 1.6×	78 1.5×	7 0.1×	16	278
M. H. W. de Bois	238 1.6×	61 0.6×	98 1.5×	14 0.3×	25 0.5×	12	323
E. George	131 0.9×	78 0.8×	70 1.1×	11 0.2×	45 0.9×	10	301

Countries citing papers authored by Naomi Winn

Since Specialization

Citations

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

Fields of papers citing papers by Naomi Winn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Winn

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