Amit Ray

2.0k citations
69 papers · 1.4k · h-index 18

Impact in

Papers in

    • Facial Trauma and Fracture Management 3
    • Receptor Mechanisms and Signaling 3
    • Extracellular vesicles in disease 3

Amit Ray

63 papers receiving 1.4k citations

Peers

Amit Ray
Comparison fields: 5 of 115
  • Psychiatry and Mental health 299
  • Cognitive Neuroscience 369
  • Cellular and Molecular Neuroscience 197
  • Genetics 104
  • Endocrinology, Diabetes and Metabolism 148
Replace Edoardo Ferlazzo with:
Edoardo Ferlazzo Italy
Kai Zhang China
S. Clémenceau France
Tomoyuki Akiyama Japan
Christopher E. Williams New Zealand
Ilya M. Nasrallah United States
Jungsu S. Oh South Korea
Gavin Fabinyi Australia
Robert Macaulay United States
Taketoshi Maehara Japan
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Citations per field
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Edoardo Ferlazzo · 1×
Citations per year

Countries citing papers authored by Amit Ray

Since Specialization
Citations

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

Fields of papers citing papers by Amit Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005313
2 201795
3 200694
4 200492
5 200489
6 199778
7 201270
8 200760
9 200245
10 201037
11 200533
12 199831
13 200328
14
Chronic exercise alters EEG power spectra in an animal model of depression.
199627
15 201025
16 200620
17 200217
18 200417
19 201415
20 200414

About Amit Ray

Amit Ray is a scholar working on Surgery, Molecular Biology, Genetics, Neurology and Pediatrics, Perinatology and Child Health, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Epilepsy research and treatment (6 papers), Receptor Mechanisms and Signaling (3 papers), EEG and Brain-Computer Interfaces (3 papers), Facial Trauma and Fracture Management (3 papers), Oral and Maxillofacial Pathology (3 papers), Bone Tumor Diagnosis and Treatments (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Psychiatry and Mental health (299 citations), Cognitive Neuroscience (369 citations), Cellular and Molecular Neuroscience (197 citations), Genetics (104 citations) and Endocrinology, Diabetes and Metabolism (148 citations). Amit Ray has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Susan Hawes‐Ebersole, James X. Tao, John S. Ebersole, J. Vafidis, Sanjay Kumar Singh, Yogendra Narain Singh, Wan Huang, Krister Karlsson, Qin Zhou and Alok Ranjan. Their work appears in journals such as Neuro-Oncology, Epilepsia, Expert Review of Neurotherapeutics, Eye and Polymer Bulletin.

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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