Nina Perusinghe

994 citations
20 papers · 877 · h-index 16

Impact in

Papers in

    • Connexins and lens biology 4
    • Heat shock proteins research 2
    • Mitochondrial Function and Pathology 2
    • Renal and related cancers 2
    • Cancer Cells and Metastasis 8
    • Cancer-related Molecular Pathways 2

Nina Perusinghe

20 papers receiving 839 citations

Peers

Nina Perusinghe
Comparison fields: 5 of 72
  • Oncology 322
  • Immunology and Allergy 60
  • Cancer Research 137
  • Hepatology 64
  • Molecular Biology 523
Replace Amanda J. Atherton with:
Amanda J. Atherton United Kingdom
Tahereh Kamalati United Kingdom
F. Müller-Pillasch Germany
Ylva Paulsson Sweden
Felix H. Brembeck Germany
Petra Vermassen Belgium
E. Di Marco Italy
Shannon L. Stroschein United States
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Citations per field
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Citations per year

Countries citing papers authored by Nina Perusinghe

Since Specialization
Citations

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

Fields of papers citing papers by Nina Perusinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1995152
2
Cell proliferation in the human mammary epithelium. Differential contribution by epithelial and myoepithelial cells.
198674
3 200972
4 198371
5 200065
6 199665
7 199460
8 199953
9 200752
10 200042
11 198436
12 199034
13 199228
14 201020
15 199118
16
An immunocytochemical and ultrastructural study of heterogeneity in the human breast carcinoma cell line PMC42.
198516
17 20096
18 19926
19 19874
20 20003

About Nina Perusinghe

Nina Perusinghe is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Allergy and Cancer Research, having authored 20 papers that have together received 877 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Connexins and lens biology (4 papers), Cell Adhesion Molecules Research (3 papers), Heat shock proteins research (2 papers), Digestive system and related health (2 papers), Mitochondrial Function and Pathology (2 papers), Renal and related cancers (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (322 citations), Immunology and Allergy (60 citations), Cancer Research (137 citations), Hepatology (64 citations) and Molecular Biology (523 citations). Nina Perusinghe has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include William Evans, Padraic Monaghan, Barry A. Gusterson, Paul Monaghan, Michael J. Warburton, Philip S. Rudland, Catherine Clarke, James Smith, Michael J. O’Hare and Birunthi Niranjan. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Experimental Cell Research, Journal of Cellular Physiology, Clinical Cancer Research and Oncogene.

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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