Ann Massie

4.0k total citations · 2 hit papers
87 papers, 3.2k citations indexed

About

Ann Massie is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Ann Massie has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 13 papers in Neurology. Recurrent topics in Ann Massie's work include Neuroscience and Neuropharmacology Research (42 papers), Amino Acid Enzymes and Metabolism (12 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). Ann Massie is often cited by papers focused on Neuroscience and Neuropharmacology Research (42 papers), Amino Acid Enzymes and Metabolism (12 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). Ann Massie collaborates with scholars based in Belgium, United States and Japan. Ann Massie's co-authors include Ilse Smolders, Jan Lewerenz, Eduard Bentea, Yvette Michotte, Sandra J. Hewett, Pamela Maher, Axel Methner, Cathy Jensen, Maria P. Lambros and Peter W. Kalivas and has published in prestigious journals such as Nature, Journal of Neuroscience and Blood.

In The Last Decade

Ann Massie

85 papers receiving 3.2k citations

Hit Papers

The Cystine/Glutamate Antiporter System x c − in Health a... 2012 2026 2016 2021 2012 2022 250 500 750

Peers

Ann Massie
Comparison fields: 5 of 116
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 1.2k
  • Biochemistry 498
  • Neurology 421
  • Pulmonary and Respiratory Medicine 393
Replace Kohji Sato with:
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Guillermina Almazán Canada
Heike Heuer Germany
Petr Tvrdík United States
Eiichiro Nagata Japan
Tong H. Joh United States
Yutaka Kōyama Japan
Juana M. Pasquini Argentina
Dagmar Galter Sweden
Kohji Sato Japan View profile →
Citations per field, relative to Ann Massie
Ann Massie · 1×
Citations per year, relative to Ann Massie
Ann Massie · 1×

Countries citing papers authored by Ann Massie

Since Specialization
Citations

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

Fields of papers citing papers by Ann Massie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Massie

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 6
4 12
5 12
6 2
7
Targeting SLC7A11 improves efferocytosis by dendritic cells and wound healing in diabetes breakdown →
210
8 3
9 2
10 9
11 26
12 11
13 27
14 26
15
Modeling Parkinson’s disease by inhibiting the proteasome system in the mouse substantia nigra
2
16 60
17
POSTER: The study of neuroprotective drugs in the striatal and the MFB 6-hydroxydopamine rat model for Parkinson's disease
1
18 12
19
Temporal synchronization in the auditory periphery of macaque monkeys.
1
20 8

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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