Patricia Greenstein

771 citations
14 papers · 408 indexed · h-index 8
Topics
Mitochondrial Function and Pathology (6 papers)Genetic Neurodegenerative Diseases (6 papers)Metabolism and Genetic Disorders (4 papers)

In The Last Decade

Patricia Greenstein

14 papers receiving 393 citations

Peers

Patricia Greenstein
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 229
  • Molecular Biology 207
  • Neurology 150
  • Neurology 106
  • Clinical Biochemistry 80
Replace Ignacio Rubio‐Agusti with:
Ignacio Rubio‐Agusti United Kingdom
Yukari Imon Japan
Marina Magalhães Portugal
Yanetza González-Zaldívar Cuba
Claude Mignard France
José Gazulla Spain
Farzad Sina Iran
Viorica Chelban United Kingdom
Rou-Shayn Chen Taiwan
A. Münchau Germany
Patricia Greenstein relative to Ignacio Rubio‐Agusti United Kingdom Ignacio Rubio‐Agusti's profile →
Citations per field
00.5×1.5×1.9×
Ignacio Rubio‐Agusti · 1×
Citations per year

Countries citing papers authored by Patricia Greenstein

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Greenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Greenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Greenstein. A scholar is included among the top collaborators of Patricia Greenstein 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 Patricia Greenstein. Patricia Greenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 1
3 7
4 47
5 8
6 88
7 18
8 36
9 1
10 85
11
Illusion of stroke: intravascular lymphomatosis.
2
12 84
13 27
14 2

About Patricia Greenstein

Patricia Greenstein is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 408 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Neurology (106 citations), Cellular and Molecular Neuroscience (229 citations) and Clinical Biochemistry (80 citations). Patricia Greenstein has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Susan Perlman, Theresa A. Zesiewicz, Brad Manor, Álvaro Pascual‐Leone, Israt Jahan, Lynn Wecker, Amber Miller, Paula Davila-Pérez, Sara Shanske and Tanja Taivassalo. Their work appears in journals such as Neurology, Clinical Neurophysiology and JAMA Neurology.

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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