Ashleigh Bone

8 total papers · 640 total citations
7 papers, 528 citations indexed

About

Ashleigh Bone is a scholar working on Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ashleigh Bone has authored 7 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ashleigh Bone's work include Medical Image Segmentation Techniques (2 papers), Diabetes Management and Research (2 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). Ashleigh Bone is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Diabetes Management and Research (2 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). Ashleigh Bone collaborates with scholars based in United States and United Kingdom. Ashleigh Bone's co-authors include Tadashi Hayami, Maureen Pickarski, Le T. Duong, Gregg Wesolowski, Gideon A. Rodan, Douglass M. Turnbull, Ulf J. Eriksson, J. D. Baird, Ingemar Swenne and Claes Hellerström and has published in prestigious journals such as Scientific Reports, European Journal of Endocrinology and Journal of Cardiovascular Pharmacology.

In The Last Decade

Ashleigh Bone

7 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Ashleigh Bone	386	158	134	121	112	7	528
Jenni Leppävuori	155 0.4×	83 0.5×	84 0.6×	273 2.3×	66 0.6×	10	575
S. Oestergaard	333 0.9×	55 0.3×	130 1.0×	201 1.7×	59 0.5×	12	566
Mari Nakagawa	79 0.2×	77 0.5×	263 2.0×	22 0.2×	39 0.3×	12	569
Corinne Schiltz	131 0.3×	79 0.5×	282 2.1×	41 0.3×	67 0.6×	11	530
Qiaoyue Guo	189 0.5×	61 0.4×	242 1.8×	64 0.5×	91 0.8×	16	568
Halei C. Benefield	196 0.5×	87 0.6×	183 1.4×	55 0.5×	45 0.4×	11	563
Stuart H. Shand	236 0.6×	229 1.4×	166 1.2×	21 0.2×	13 0.1×	11	610
R. Hill	321 0.8×	127 0.8×	64 0.5×	135 1.1×	62 0.6×	13	480
Nisha Sambamurthy	303 0.8×	138 0.9×	105 0.8×	81 0.7×	53 0.5×	5	456
Nanine M. Tarbaux	127 0.3×	42 0.3×	270 2.0×	12 0.1×	154 1.4×	12	516

Countries citing papers authored by Ashleigh Bone

Since Specialization

Citations

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

Fields of papers citing papers by Ashleigh Bone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashleigh Bone

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