Natalie J. Fuller

24 total papers · 575 total citations
17 papers, 445 citations indexed

About

Natalie J. Fuller is a scholar working on Surgery, Urology and Biomaterials. According to data from OpenAlex, Natalie J. Fuller has authored 17 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 8 papers in Urology and 6 papers in Biomaterials. Recurrent topics in Natalie J. Fuller's work include Tissue Engineering and Regenerative Medicine (14 papers), Urological Disorders and Treatments (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Natalie J. Fuller is often cited by papers focused on Tissue Engineering and Regenerative Medicine (14 papers), Urological Disorders and Treatments (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Natalie J. Fuller collaborates with scholars based in United States, Philippines and United Kingdom. Natalie J. Fuller's co-authors include Arun K. Sharma, Earl Y. Cheng, Matthew I. Bury, Derek J. Matoka, Partha Hota, Hatim Thaker, Guillermo A. Ameer, Danny Jandali, Andrew Marks and Natalie Tapaskar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

In The Last Decade

Natalie J. Fuller

16 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Natalie J. Fuller	338	255	216	71	69	17	445
Sara Bouhout	273 0.8×	213 0.8×	171 0.8×	84 1.2×	110 1.6×	17	461
Tsuguyoshi Taira	177 0.5×	208 0.8×	142 0.7×	53 0.7×	94 1.4×	17	487
Chen-Liang Deng	302 0.9×	123 0.5×	194 0.9×	85 1.2×	31 0.4×	19	487
Xufeng Peng	136 0.4×	176 0.7×	108 0.5×	69 1.0×	87 1.3×	23	375
M. Markowicz	220 0.7×	191 0.7×	120 0.6×	82 1.2×	120 1.7×	14	464
Satoru Takemoto	157 0.5×	129 0.5×	112 0.5×	101 1.4×	62 0.9×	19	495
Marije Sloff	186 0.6×	186 0.7×	115 0.5×	53 0.7×	106 1.5×	15	385
Galyna Pryymachuk	179 0.5×	144 0.6×	48 0.2×	129 1.8×	155 2.2×	21	415
Héctor Capella‐Monsonís	229 0.7×	172 0.7×	32 0.1×	52 0.7×	147 2.1×	18	448
Jacob Ceccarelli	144 0.4×	198 0.8×	65 0.3×	109 1.5×	252 3.7×	7	442

Countries citing papers authored by Natalie J. Fuller

Since Specialization

Citations

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

Fields of papers citing papers by Natalie J. Fuller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie J. Fuller

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