Nina Perusinghe

994 citations
20 papers · 820 indexed · h-index 15

Nina Perusinghe

20 papers receiving 800 citations

Peers

Nina Perusinghe
Comparison fields: 5 of 74
  • Molecular Biology 507
  • Oncology 317
  • Cancer Research 141
  • Genetics 133
  • Cell Biology 75
Replace Virginia Yao with:
Virginia Yao United States
Amanda J. Atherton United Kingdom
Ylva Paulsson Sweden
Petra Vermassen Belgium
Ryosuke Osada Japan
Tracy G. Ram United States
Carolyn V. Ustach United States
Ursula Zimber‐Strobl Switzerland
Chuan‐Wei Jang United States
Tong Yin China
Nina Perusinghe relative to Virginia Yao United States Virginia Yao's profile →
Citations per field
00.5×2.7×
Virginia Yao · 1×
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-authorship network of co-authors of Nina Perusinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Perusinghe. A scholar is included among the top collaborators of Nina Perusinghe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Perusinghe. Nina Perusinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 5
3 71
4 51
5 62
6 33
7 3
8 52
9 62
10 145
11 59
12 6
13 24
14 16
15 30
16 4
17
Cell proliferation in the human mammary epithelium. Differential contribution by epithelial and myoepithelial cells.
73
18
An immunocytochemical and ultrastructural study of heterogeneity in the human breast carcinoma cell line PMC42.
12
19 30
20 63

About Nina Perusinghe

Nina Perusinghe is a scholar working on Immunology and Allergy, Oncology and Hepatology, having authored 20 papers that have together received 820 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Connexins and lens biology (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Oncology (317 citations), Immunology and Allergy (57 citations) and Cancer Research (141 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 Lakjaya Buluwela. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Development.

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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