Daniel Maxim Iascone

20 total papers · 600 total citations
10 papers, 325 citations indexed

About

Daniel Maxim Iascone is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Daniel Maxim Iascone has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Daniel Maxim Iascone's work include Alzheimer's disease research and treatments (3 papers), Circadian rhythm and melatonin (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Daniel Maxim Iascone is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Circadian rhythm and melatonin (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Daniel Maxim Iascone collaborates with scholars based in United States, Germany and China. Daniel Maxim Iascone's co-authors include Franck Polleux, Jeannie Chin, Christopher E. Henderson, Justin Lee, Hanbo Chen, Anupam Hazra, Iraklis Petrof, Lili Yuan, Brian F. Corbett and Umberto Tosi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS ONE.

In The Last Decade

Daniel Maxim Iascone

10 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Maxim Iascone 152 125 89 65 46 10 325
Xinjun Wang 186 1.2× 98 0.8× 114 1.3× 28 0.4× 40 0.9× 11 310
Kavitha Abiraman 157 1.0× 124 1.0× 54 0.6× 72 1.1× 53 1.2× 9 336
Alessandra Cifra 141 0.9× 109 0.9× 29 0.3× 43 0.7× 28 0.6× 10 308
Ronen Eavri 143 0.9× 155 1.2× 29 0.3× 49 0.8× 98 2.1× 7 359
Lucas Scott 125 0.8× 192 1.5× 32 0.4× 45 0.7× 18 0.4× 7 360
Jiyeon K. Denninger 85 0.6× 93 0.7× 34 0.4× 76 1.2× 50 1.1× 10 334
Jan R. Detrez 138 0.9× 121 1.0× 84 0.9× 81 1.2× 25 0.5× 12 335
Fergil Mills 145 1.0× 122 1.0× 50 0.6× 92 1.4× 19 0.4× 9 349
Maria J. Pinto 125 0.8× 141 1.1× 26 0.3× 47 0.7× 50 1.1× 15 340
Elizabeth Bruno 65 0.4× 106 0.8× 35 0.4× 79 1.2× 98 2.1× 12 279

Countries citing papers authored by Daniel Maxim Iascone

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maxim Iascone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maxim Iascone

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