Raja Bhattacharyya

849 citations
21 papers · 675 · h-index 14

Impact in

  • Physiology top 10%
    • Alzheimer's disease research and treatments
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Mitochondrial Function and Pathology 4
    • Alzheimer's disease research and treatments 11
    • Erythrocyte Function and Pathophysiology 2

Raja Bhattacharyya

21 papers receiving 671 citations

Peers

Raja Bhattacharyya
Comparison fields: 5 of 59
  • Physiology 264
  • Cell Biology 143
  • Molecular Biology 415
  • Cellular and Molecular Neuroscience 103
  • Biological Psychiatry 13
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Citations per year

Countries citing papers authored by Raja Bhattacharyya

Since Specialization
Citations

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

Fields of papers citing papers by Raja Bhattacharyya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013143
2 200069
3 200561
4 201057
5 202155
6 200353
7 200950
8 200733
9 201031
10 201626
11 200918
12 202416
13 199916
14 202214
15 200312
16 20246
17 19996
18 20133
19 20223
20 20252

About Raja Bhattacharyya

Raja Bhattacharyya is a scholar working on Molecular Biology, Physiology, Cell Biology, Oncology and Surgery, having authored 21 papers that have together received 675 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Mitochondrial Function and Pathology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Physiology (264 citations), Cell Biology (143 citations), Molecular Biology (415 citations), Cellular and Molecular Neuroscience (103 citations) and Biological Psychiatry (13 citations). Raja Bhattacharyya has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Philip Wedegaertner, Dora M. Kovacs, Rudolph E. Tanzi, Kamel Khalili, Evan Noch, Raymond B. Penn, Charlotte K. Billington, Reynold A. Panettieri, Tung O. Chan and Kok Choi Kong. Their work appears in journals such as Biochemical Journal, Journal of Neuroscience, Molecular Neurodegeneration, The FASEB Journal and Cell 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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