Diane Lucente

28 papers receiving 1.2k citations

Peers

Diane Lucente
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 361
  • Neurology 114
  • Developmental Neuroscience 54
  • Molecular Biology 748
  • Neurology 143
Replace Guillermo López‐Doménech with:
Guillermo López‐Doménech United Kingdom
Christine Laliberté Canada
Dongcheul Kang United States
Vidhya Rangaraju Germany
Rick A.C.M. Boonen Netherlands
Antonella Borreca Italy
Min Jeong Kye Germany
José V. Sánchez‐Mut Spain
Wendou Yu United States
Jocelyn Widagdo Australia
Diane Lucente relative to Guillermo López‐Doménech United Kingdom Guillermo López‐Doménech's profile →
Citations per field
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Guillermo López‐Doménech · 1×
Citations per year

Countries citing papers authored by Diane Lucente

Since Specialization
Citations

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

Fields of papers citing papers by Diane Lucente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diane Lucente, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diane Lucente Line = papers co-authored together Diane Lucente links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014227
2 2019203
3 2017120
4 1993104
5 2016103
6 2020102
7 199953
8 201645
9 199536
10 201834
11 202332
12 201721
13 202120
14 201919
15 202414
16 19958
17
The gene for familial dysautonomia is linked to chromosome 9 and shows strong linkage disequilibrium with D9S58
19937
18 19957
19 20167
20 20245

About Diane Lucente

Diane Lucente is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Cell Biology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Neurological diseases and metabolism (6 papers), Mitochondrial Function and Pathology (6 papers), Hereditary Neurological Disorders (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (361 citations), Neurology (114 citations), Developmental Neuroscience (54 citations), Molecular Biology (748 citations) and Neurology (143 citations). Diane Lucente has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include James F. Gusella, Stephen J. Haggarty, Bradford C. Dickerson, M. Catarina Silva, Steven D. Sheridan, Tammy Gillis, Debasis Patnaik, Quan-Ying Cai, Christopher B. Liebert and Michael E. Talkowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Human Molecular Genetics, The American Journal of Human Genetics and Genomics.

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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