John R. Dickson

47 total papers · 434 total citations
20 papers, 285 citations indexed

About

John R. Dickson is a scholar working on Physiology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, John R. Dickson has authored 20 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in John R. Dickson's work include Alzheimer's disease research and treatments (5 papers), Machine Learning in Healthcare (4 papers) and RNA Research and Splicing (3 papers). John R. Dickson is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Machine Learning in Healthcare (4 papers) and RNA Research and Splicing (3 papers). John R. Dickson collaborates with scholars based in United States, Denmark and Canada. John R. Dickson's co-authors include Michael S. Wolfe, Bente Finsen, Carla Kruse, Daniel R. Montagna, Christine P. Donahue, Suxin Zheng, Gabriele Varani, Matthew P. Frosch, Bradley T. Hyman and Michael A. Moskowitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Neuroscience.

In The Last Decade

John R. Dickson

14 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
John R. Dickson	145	68	58	46	23	20	285
Hatice Gümüşhan Aktas	146 1.0×	51 0.8×	8 0.1×	33 0.7×	34 1.5×	23	305
Yuji Matsumoto	47 0.3×	43 0.6×	30 0.5×	22 0.5×	27 1.2×	27	294
Xiaochuan Gu	105 0.7×	29 0.4×	31 0.5×	45 1.0×	29 1.3×	16	317
Ahmed M. Elmansi	103 0.7×	30 0.4×	39 0.7×	9 0.2×	12 0.5×	18	324
Yan Ma	123 0.8×	78 1.1×	22 0.4×	15 0.3×	7 0.3×	16	285
Junyan Yao	90 0.6×	22 0.3×	38 0.7×	8 0.2×	37 1.6×	29	288
Le Du	104 0.7×	51 0.8×	19 0.3×	38 0.8×	4 0.2×	32	308
Jianhao Liang	117 0.8×	20 0.3×	18 0.3×	71 1.5×	11 0.5×	21	301
Xiaolu Hou	94 0.6×	15 0.2×	26 0.4×	127 2.8×	16 0.7×	19	304
Jiaxin Tang	118 0.8×	26 0.4×	14 0.2×	19 0.4×	17 0.7×	37	293

Countries citing papers authored by John R. Dickson

Since Specialization

Citations

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

Fields of papers citing papers by John R. Dickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Dickson. 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 John R. Dickson. The network helps show where John R. Dickson may publish in the future.

Co-authorship network of co-authors of John R. Dickson

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Dickson. A scholar is included among the top collaborators of John R. Dickson 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 John R. Dickson. John R. Dickson 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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