Volney Sheen

67 papers receiving 2.6k citations

Peers

Volney Sheen
Comparison fields: 5 of 119
  • Developmental Neuroscience 474
  • Cellular and Molecular Neuroscience 694
  • Pediatrics, Perinatology and Child Health 658
  • Cell Biology 517
  • Genetics 687
Replace Liya Shen with:
Liya Shen United States
Diana Rodriguez France
Sylvain Briault France
Elena Parrini Italy
Philip H. Schwartz United States
Deborah Bartholdi Switzerland
Elizabeth C. Engle United States
Deborah Watson United States
Kimberly A. Aldinger United States
Louise S. Bicknell New Zealand
Volney Sheen relative to Liya Shen United States Liya Shen's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Volney Sheen

Since Specialization
Citations

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

Fields of papers citing papers by Volney Sheen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Volney Sheen, 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 Volney Sheen Line = papers co-authored together Volney Sheen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003273
2 2001200
3 2008139
4 2002118
5 2008114
6 200791
7 200889
8 200679
9 200376
10 201174
11 199871
12 200770
13 199960
14 201259
15 201553
16 201252
17 201250
18 200549
19 199449
20 200348

About Volney Sheen

Volney Sheen is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (19 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Cerebrospinal fluid and hydrocephalus (10 papers), Genetics and Neurodevelopmental Disorders (10 papers), Microtubule and mitosis dynamics (9 papers), Cellular transport and secretion (9 papers), Genetic and Kidney Cyst Diseases (5 papers) and Down syndrome and intellectual disability research (5 papers). The work is most often cited by research in Developmental Neuroscience (474 citations), Cellular and Molecular Neuroscience (694 citations), Pediatrics, Perinatology and Child Health (658 citations), Cell Biology (517 citations) and Genetics (687 citations). Volney Sheen has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Jie Lu, Gewei Lian, Jeffrey D. Macklis, Christopher A. Walsh, Christopher A. Walsh, Jason Neal, Jonathan L. Hecht, Youzhen Wang, Ramin Atefy and Adria Bodell. Their work appears in journals such as Human Molecular Genetics, Neurology, Experimental Neurology, Journal of Neuroscience and Biomacromolecules.

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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