Preeti Putcha

1.6k citations
14 papers · 1.2k · h-index 11

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Nerve injury and regeneration
    • Genetic Neurodegenerative Diseases
    • Nuclear Receptors and Signaling

Papers in

    • Histone Deacetylase Inhibitors Research 2
    • RNA modifications and cancer 2
    • Parkinson's Disease Mechanisms and Treatments 7
    • Botulinum Toxin and Related Neurological Disorders 2

Preeti Putcha

14 papers receiving 1.2k citations

Peers

Preeti Putcha
Comparison fields: 5 of 77
  • Neurology 724
  • Cellular and Molecular Neuroscience 334
  • Neurology 137
  • Cell Biology 256
  • Physiology 399
Replace Emilie Giaime with:
Emilie Giaime United States
Maxime W.C. Rousseaux United States
Francesca Longhena Italy
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Daniel Ysselstein United States
Ulf Dettmer United States
Eric S. Luth United States
Brigitte Nuscher Germany
Byoung Dae Lee South Korea
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Citations per field
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Emilie Giaime · 1×
Citations per year

Countries citing papers authored by Preeti Putcha

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Putcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008325
2 2010247
3 2009152
4 2008142
5 2008107
6 201577
7 200956
8 200943
9 201538
10 201435
11 201511
12 20127
13 20181
14 20141

About Preeti Putcha

Preeti Putcha is a scholar working on Molecular Biology, Neurology, Physiology, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Computational Drug Discovery Methods (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA modifications and cancer (2 papers) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (724 citations), Cellular and Molecular Neuroscience (334 citations), Neurology (137 citations), Cell Biology (256 citations) and Physiology (399 citations). Preeti Putcha has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Pamela J. McLean, Bradley T. Hyman, Julie E. Tetzlaff, Tiago F. Outeiro, Mirjam Koker, Filipe L.F. Carvalho, Robert Spoelgen, Karin M. Danzer, Charles Glabe and Tadafumi Hashimoto. Their work appears in journals such as PLoS ONE, Cancer Research, Genes & Development, Journal of Pharmacology and Experimental Therapeutics and BioMed Research International.

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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