Daniel P. Quiring

26 total papers · 604 total citations
8 papers, 136 citations indexed

About

Daniel P. Quiring is a scholar working on Physiology, Small Animals and Neurology. According to data from OpenAlex, Daniel P. Quiring has authored 8 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Physiology, 1 paper in Small Animals and 1 paper in Neurology. Recurrent topics in Daniel P. Quiring's work include Alzheimer's disease research and treatments (2 papers), Neurological Disease Mechanisms and Treatments (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Daniel P. Quiring is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Neurological Disease Mechanisms and Treatments (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Daniel P. Quiring collaborates with scholars based in United States. Daniel P. Quiring's co-authors include Mark Fisher, David H. Cribbs, Vitaly Vasilevko, Giselle F. Passos, Elizabeth Head and Leonard Nelson and has published in prestigious journals such as Stroke, Annals of the New York Academy of Sciences and Journal of Nutrition.

In The Last Decade

Daniel P. Quiring

6 papers receiving 128 citations

Author Peers

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

Author						Papers	Cites
Daniel P. Quiring	57	46	38	19	16	8	136
Giancarlo Germani	47 0.8×	53 1.2×	23 0.6×	17 0.9×	23 1.4×	11	150
Kristin Levine	54 0.9×	55 1.2×	68 1.8×	31 1.6×	12 0.8×	10	231
Zhenhua Mai	27 0.5×	35 0.8×	22 0.6×	17 0.9×	19 1.2×	11	237
Damián Bendersky	46 0.8×	42 0.9×	59 1.6×	47 2.5×	27 1.7×	11	269
Adam Zermansky	95 1.7×	30 0.7×	20 0.5×	23 1.2×	60 3.8×	5	219
Aga Pluta-Fuerst	28 0.5×	34 0.7×	35 0.9×	28 1.5×	50 3.1×	7	230
Roland G. Gera	84 1.5×	28 0.6×	28 0.7×	60 3.2×	8 0.5×	5	152
Elissa C. McIntosh	15 0.3×	42 0.9×	47 1.2×	31 1.6×	30 1.9×	8	140
Carmen Montes	34 0.6×	69 1.5×	9 0.2×	24 1.3×	12 0.8×	13	252
Olivier Chassin	76 1.3×	15 0.3×	25 0.7×	50 2.6×	14 0.9×	10	143

Countries citing papers authored by Daniel P. Quiring

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Quiring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Quiring. 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 Daniel P. Quiring. The network helps show where Daniel P. Quiring may publish in the future.

Co-authorship network of co-authors of Daniel P. Quiring

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Quiring. A scholar is included among the top collaborators of Daniel P. Quiring 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 Daniel P. Quiring. Daniel P. Quiring 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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