V.J. Kingsmill

22 total papers · 561 total citations
17 papers, 440 citations indexed

About

V.J. Kingsmill is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Archeology. According to data from OpenAlex, V.J. Kingsmill has authored 17 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Orthopedics and Sports Medicine and 5 papers in Archeology. Recurrent topics in V.J. Kingsmill's work include Bone health and osteoporosis research (6 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers) and Bone Metabolism and Diseases (5 papers). V.J. Kingsmill is often cited by papers focused on Bone health and osteoporosis research (6 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers) and Bone Metabolism and Diseases (5 papers). V.J. Kingsmill collaborates with scholars based in United Kingdom. V.J. Kingsmill's co-authors include A. Boyde, Simon C.F. Rawlinson, Francis J. Hughes, Peter Howell, Graham Davis, Ian J. McKay, P. Ryan, Sheila J. Jones, Mandeep Ghuman and Gul Zaman and has published in prestigious journals such as PLoS ONE, Journal of Dental Research and Osteoporosis International.

In The Last Decade

V.J. Kingsmill

17 papers receiving 422 citations

Author Peers

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

Author						Papers	Cites
V.J. Kingsmill	197	127	123	86	61	17	440
Masahiro Seiryu	84 0.4×	49 0.4×	196 1.6×	143 1.7×	45 0.7×	25	476
K.‐G. Strid	139 0.7×	63 0.5×	53 0.4×	87 1.0×	92 1.5×	27	416
Belir Atalay	264 1.3×	47 0.4×	68 0.6×	36 0.4×	93 1.5×	32	480
Binali Çakur	286 1.5×	83 0.7×	44 0.4×	40 0.5×	83 1.4×	35	466
Taku Kojima	63 0.3×	42 0.3×	150 1.2×	117 1.4×	67 1.1×	23	443
Kotoe Mayahara	74 0.4×	29 0.2×	172 1.4×	75 0.9×	29 0.5×	23	435
Tokutaro Minamizato	105 0.5×	27 0.2×	225 1.8×	46 0.5×	40 0.7×	14	414
Yuya Nakatani	195 1.0×	45 0.4×	25 0.2×	103 1.2×	49 0.8×	24	368
Khaled Balto	208 1.1×	45 0.4×	85 0.7×	40 0.5×	45 0.7×	12	398
Kazuto Kuroe	65 0.3×	32 0.3×	96 0.8×	129 1.5×	32 0.5×	19	467

Countries citing papers authored by V.J. Kingsmill

Since Specialization

Citations

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

Fields of papers citing papers by V.J. Kingsmill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V.J. Kingsmill

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