Neil Auricchio

13 total papers · 516 total citations
6 papers, 229 citations indexed

About

Neil Auricchio is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Neil Auricchio has authored 6 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Physiology. Recurrent topics in Neil Auricchio's work include Tuberous Sclerosis Complex Research (3 papers), Autophagy in Disease and Therapy (1 paper) and Lung Cancer Treatments and Mutations (1 paper). Neil Auricchio is often cited by papers focused on Tuberous Sclerosis Complex Research (3 papers), Autophagy in Disease and Therapy (1 paper) and Lung Cancer Treatments and Mutations (1 paper). Neil Auricchio collaborates with scholars based in United States and Russia. Neil Auricchio's co-authors include David J. Kwiatkowski, K.M. Hindi, Andrey A. Parkhitko, Elizabeth P. Henske, Toren Finkel, Jane Yu, Jing Wu, Tasha Morrison, Magdalena Karbowniczek and Izabela A. Malinowska and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Neil Auricchio

6 papers receiving 224 citations

Author Peers

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

Author						Papers	Cites
Neil Auricchio	112	100	77	63	30	6	229
Ashlee K. Clark	101 0.9×	87 0.9×	73 0.9×	60 1.0×	42 1.4×	6	257
Marianna Gnoato	91 0.8×	168 1.7×	69 0.9×	49 0.8×	174 5.8×	7	326
Daniel Fantus	129 1.2×	31 0.3×	37 0.5×	39 0.6×	21 0.7×	8	299
Manuel Franke	122 1.1×	40 0.4×	72 0.9×	85 1.3×	6 0.2×	7	328
Yasuyuki Tokunaga	137 1.2×	31 0.3×	22 0.3×	31 0.5×	27 0.9×	8	221
Suchira Gallage	109 1.0×	55 0.6×	114 1.5×	25 0.4×	12 0.4×	9	262
Theodora Kanaki	73 0.7×	42 0.4×	16 0.2×	98 1.6×	45 1.5×	7	209
Rachel Cuttat	148 1.3×	22 0.2×	51 0.7×	27 0.4×	31 1.0×	6	316
Mónica Erazo	57 0.5×	54 0.5×	33 0.4×	23 0.4×	5 0.2×	7	209
Yanhan Deng	97 0.9×	56 0.6×	33 0.4×	17 0.3×	123 4.1×	7	253

Countries citing papers authored by Neil Auricchio

Since Specialization

Citations

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

Fields of papers citing papers by Neil Auricchio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Auricchio. 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 Neil Auricchio. The network helps show where Neil Auricchio may publish in the future.

Co-authorship network of co-authors of Neil Auricchio

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Auricchio. A scholar is included among the top collaborators of Neil Auricchio 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 Neil Auricchio. Neil Auricchio 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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