Latha Devi

19 papers receiving 3.0k citations

Latha Devi's Hit Papers

Mitochondrial Import and Accumulation of α-Synuclein Impair Complex I in Human Dopaminergic Neuronal Cultures and Parkinson Disease Brain 2008 · 876 citations
8760+6+13Years since publication250500750

Peers

Latha Devi
Comparison fields: 5 of 92
  • Biological Psychiatry 176
  • Physiology 1.6k
  • Neurology 721
  • Cellular and Molecular Neuroscience 858
  • Neurology 362
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Citations per year

Countries citing papers authored by Latha Devi

Since Specialization
Citations

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

Fields of papers citing papers by Latha Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Latha Devi, 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 Latha Devi Line = papers co-authored together Latha Devi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Mitochondrial Import and Accumulation of α-Synuclein Impair Complex I in Human Dopaminergic Neuronal Cultures and Parkinson Disease Brain
Hit paper breakdown →
2008876
2
Accumulation of Amyloid Precursor Protein in the Mitochondrial Import Channels of Human Alzheimer’s Disease Brain Is Associated with Mitochondrial Dysfunction
Hit paper breakdown →
2006666
3 2011235
4 2014142
5 2012137
6 2009120
7 2010117
8 2010114
9 2010110
10 2011109
11 200778
12 200971
13 201357
14 201343
15 200338
16 201529
17 201529
18 201627
19 200722

About Latha Devi

Latha Devi is a scholar working on Physiology, Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 19 papers that have together received 3.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (4 papers), Memory and Neural Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (176 citations), Physiology (1.6k citations), Neurology (721 citations), Cellular and Molecular Neuroscience (858 citations) and Neurology (362 citations). Latha Devi has collaborated with scholars based in United States and India. Frequent co-authors include Masuo Ohno, Hindupur K. Anandatheerthavarada, Narayan G. Avadhani, Badanavalu M. Prabhu, Vijayendran Raghavendran, Domenico F. Galati, Melissa J. Alldred, Stephen D. Ginsberg, Ryoichi Kimura and Latha Diwakar. Their work appears in journals such as PLoS ONE, Molecular Brain, Current Alzheimer Research, Journal of Neuroscience and Brain Research.

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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