J. Gattuso

18 total papers · 468 total citations
8 papers, 212 citations indexed

About

J. Gattuso is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, J. Gattuso has authored 8 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in J. Gattuso's work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (4 papers) and Breast Implant and Reconstruction (2 papers). J. Gattuso is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (4 papers) and Breast Implant and Reconstruction (2 papers). J. Gattuso collaborates with scholars based in United Kingdom. J. Gattuso's co-authors include R Carpenter, P. Abram, James Mansell, Julie Doughty, Wilson J. Angerson, Clive Wells, Anthony Skene, Ian Monypenny, Christopher R. Wilson and A. Skene and has published in prestigious journals such as Breast Cancer Research and Treatment, European Journal of Surgical Oncology and The Breast.

In The Last Decade

J. Gattuso

7 papers receiving 199 citations

Author Peers

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

Author						Papers	Cites
J. Gattuso	144	92	81	73	37	8	212
Helle Holtveg	166 1.2×	78 0.8×	108 1.3×	128 1.8×	29 0.8×	8	261
Sophie Lavertu	182 1.3×	107 1.2×	103 1.3×	123 1.7×	17 0.5×	8	280
José Manuel Baena Cañada	112 0.8×	51 0.6×	32 0.4×	87 1.2×	15 0.4×	10	147
M. Sylván	116 0.8×	107 1.2×	58 0.7×	60 0.8×	7 0.2×	6	205
Christoph Fussl	196 1.4×	103 1.1×	74 0.9×	73 1.0×	16 0.4×	13	267
Alex Freeman	45 0.3×	60 0.7×	43 0.5×	81 1.1×	15 0.4×	10	225
Grantley Gill	165 1.1×	123 1.3×	103 1.3×	63 0.9×	7 0.2×	8	190
Mukesh B. Mukesh	196 1.4×	64 0.7×	57 0.7×	49 0.7×	10 0.3×	6	248
Charleen Chan Wah Hak	131 0.9×	32 0.3×	39 0.5×	65 0.9×	12 0.3×	6	235
Mark Churn	123 0.9×	36 0.4×	40 0.5×	78 1.1×	13 0.4×	9	186

Countries citing papers authored by J. Gattuso

Since Specialization

Citations

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

Fields of papers citing papers by J. Gattuso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Gattuso

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