Andrew Shutes‐David

19 total papers · 469 total citations
12 papers, 339 citations indexed

About

Andrew Shutes‐David is a scholar working on Psychiatry and Mental health, Molecular Biology and Neurology. According to data from OpenAlex, Andrew Shutes‐David has authored 12 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Psychiatry and Mental health, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Andrew Shutes‐David's work include Dementia and Cognitive Impairment Research (4 papers), Machine Learning in Healthcare (3 papers) and Chronic Disease Management Strategies (2 papers). Andrew Shutes‐David is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Machine Learning in Healthcare (3 papers) and Chronic Disease Management Strategies (2 papers). Andrew Shutes‐David collaborates with scholars based in United States, Italy and Sweden. Andrew Shutes‐David's co-authors include Elaine R. Peskind, Denes V. Agoston, Debby W. Tsuang, Tiffany A. Greenwood, Yijun Shao, Qing Zeng, Stephen Thielke, Sunny Chen, Lesley Leong and Chang‐En Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Alzheimer s & Dementia.

In The Last Decade

Andrew Shutes‐David

10 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Andrew Shutes‐David	121	117	86	78	57	12	339
Niina Lapinlampi	122 1.0×	114 1.0×	64 0.7×	145 1.9×	14 0.2×	12	337
Christine Mac Donald	218 1.8×	72 0.6×	163 1.9×	53 0.7×	44 0.8×	9	349
Alex Whittington	74 0.6×	54 0.5×	74 0.9×	145 1.9×	151 2.6×	21	369
Je Yeong Sone	69 0.6×	68 0.6×	69 0.8×	57 0.7×	117 2.1×	8	302
Ameet C. Patel	49 0.4×	32 0.3×	58 0.7×	87 1.1×	71 1.2×	16	348
Niange Xia	36 0.3×	49 0.4×	62 0.7×	115 1.5×	26 0.5×	28	319
Thamil Mani Sivanandam	127 1.0×	127 1.1×	105 1.2×	22 0.3×	68 1.2×	12	316
Kristen Dams-O’Connor	149 1.2×	55 0.5×	164 1.9×	56 0.7×	61 1.1×	22	310
Kaitlin A. Folweiler	211 1.7×	47 0.4×	184 2.1×	20 0.3×	14 0.2×	9	327
Jasmine Rivolta	79 0.7×	54 0.5×	22 0.3×	160 2.1×	162 2.8×	14	341

Countries citing papers authored by Andrew Shutes‐David

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Shutes‐David

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Shutes‐David. 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 Andrew Shutes‐David. The network helps show where Andrew Shutes‐David may publish in the future.

Co-authorship network of co-authors of Andrew Shutes‐David

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Shutes‐David. A scholar is included among the top collaborators of Andrew Shutes‐David 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 Andrew Shutes‐David. Andrew Shutes‐David 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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