Manisha Ray

945 citations
6 papers · 49 · h-index 4

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 3
    • Receptor Mechanisms and Signaling 2
    • Lipid Membrane Structure and Behavior 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Autism Spectrum Disorder Research 1

Manisha Ray

6 papers receiving 49 citations

Peers

Manisha Ray
Comparison fields: 5 of 35
  • Developmental Neuroscience 4
  • Neurology 6
  • Aging 1
  • Pathology and Forensic Medicine 9
  • Molecular Biology 35
Replace Miguel A. Ibarra-Arellano with:
Miguel A. Ibarra-Arellano Germany
Lyujie Fang China
Timothy Earr France
Russell Joynson United Kingdom
Michelle Zuo Canada
Zhenggen Wu China
Miriam Zuccalà Italy
Urszula Łukasik Poland
Sterling C. Johnson United States
Sarah Martin Australia
Manisha Ray relative to Miguel A. Ibarra-Arellano Germany Miguel A. Ibarra-Arellano's profile →
Citations per field
00.5×
Miguel A. Ibarra-Arellano · 1×
Citations per year

Countries citing papers authored by Manisha Ray

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Manisha Ray, 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 Manisha Ray Line = papers co-authored together Manisha Ray links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201818
2 202216
3 20196
4 20236
5 20202
6 20241

About Manisha Ray

Manisha Ray is a scholar working on Molecular Biology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Genetics, having authored 6 papers that have together received 49 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (3 papers), Receptor Mechanisms and Signaling (2 papers), Lipid Membrane Structure and Behavior (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Developmental Neuroscience (4 citations), Neurology (6 citations), Aging (1 citation), Pathology and Forensic Medicine (9 citations) and Molecular Biology (35 citations). Manisha Ray has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Jerold Chun, Yasuyuki Kihara, Richard Rivera, Tony Ngo, Darryl J. Bornhop, Carter R. Palmer, Amanda Kussrow, Yunjiao Zhu, Allison Chen and Hirotaka Mizuno. Their work appears in journals such as The FASEB Journal, Cancer Research, The Journal of Physical Chemistry B, Journal of Lipid Research and Gene Reports.

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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