Dina Levi

2.8k total citations
10 papers, 138 citations indexed

About

Dina Levi is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Dina Levi has authored 10 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Dina Levi's work include Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (4 papers) and Single-cell and spatial transcriptomics (3 papers). Dina Levi is often cited by papers focused on Diabetes and associated disorders (5 papers), T-cell and B-cell Immunology (4 papers) and Single-cell and spatial transcriptomics (3 papers). Dina Levi collaborates with scholars based in Canada, United Kingdom and Netherlands. Dina Levi's co-authors include Constantin Polychronakos, Aziz Alami Chentoufi, Michael Palumbo, Vandna Shah, Michael A. Simpson, Cheryl Gillett, Elinor J. Sawyer, Andrew M. Hanby, Ian Tomlinson and Philip Hobson and has published in prestigious journals such as Nature Communications, Diabetes and British Journal of Cancer.

In The Last Decade

Dina Levi

10 papers receiving 134 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dina Levi Canada	6	51	43	38	34	32	10	138
Lisa Elefanti Italy	7	65 1.3×	9 0.2×	8 0.2×	15 0.4×	28 0.9×	13	108
Daniela Zaffaroni Italy	9	103 2.0×	80 1.9×	10 0.3×	7 0.2×	22 0.7×	12	165
Melissa E. Ko United States	4	58 1.1×	26 0.6×	10 0.3×	9 0.3×	18 0.6×	7	111
Wenbo Guo China	8	146 2.9×	4 0.1×	13 0.3×	36 1.1×	50 1.6×	21	209
Michela Perani United Kingdom	4	107 2.1×	15 0.3×	3 0.1×	18 0.5×	18 0.6×	5	164
Oscar Pellón-Cárdenas United States	9	78 1.5×	26 0.6×	12 0.3×	11 0.3×	39 1.2×	9	139
Maura Sticco-Ivins United States	5	72 1.4×	20 0.5×	38 1.0×	74 2.2×	21 0.7×	6	198
Maria C. Lecca Netherlands	5	32 0.6×	18 0.4×	21 0.6×	8 0.2×	33 1.0×	7	92
Veronica Saenz-Vash Switzerland	5	181 3.5×	27 0.6×	23 0.6×	14 0.4×	28 0.9×	5	223
Foo Wei Ten Germany	3	86 1.7×	24 0.6×	65 1.7×	20 0.6×	54 1.7×	4	199

Countries citing papers authored by Dina Levi

Since Specialization

Citations

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

Fields of papers citing papers by Dina Levi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Levi

This figure shows the co-authorship network connecting the top 25 collaborators of Dina Levi. A scholar is included among the top collaborators of Dina Levi 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 Dina Levi. Dina Levi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Magness, Alastair, Emma Colliver, Katey S.S. Enfield, et al.. (2024). Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX. Nature Communications. 15(1). 5135–5135. 2 indexed citations

2.

Maldegem, Febe van, Harshil Patel, Mihaela Angelova, et al.. (2021). Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry. Nature Communications. 12(1). 5906–5906. 41 indexed citations

3.

Russell, Emma, Ana Agua‐Doce, Dina Levi, et al.. (2020). Adapting to the Coronavirus Pandemic: Building and Incorporating a Diagnostic Pipeline in a Shared Resource Laboratory. Cytometry Part A. 99(1). 90–99. 2 indexed citations

4.

Levi, Dina, Vandna Shah, Cheryl Gillett, et al.. (2018). MED12, TERT promoter and RBM15 mutations in primary and recurrent phyllodes tumours. British Journal of Cancer. 118(2). 277–284. 28 indexed citations

5.

Shah, Vandna, Dina Levi, Cheryl Gillett, et al.. (2017). PIK3CA mutations are common in lobular carcinoma in situ, but are not a biomarker of progression. Breast Cancer Research. 19(1). 7–7. 12 indexed citations

6.

Levi, Dina & Constantin Polychronakos. (2013). Expression profile of a clonal insulin-expressing epithelial cell in the thymus. Molecular Immunology. 56(4). 804–810. 2 indexed citations

7.

Levi, Dina & Constantin Polychronakos. (2013). Self-antigen expression in thymic epithelial cells in Ifn-γ or Tnf-α deficiency. Cytokine. 62(3). 433–438. 3 indexed citations

8.

Yang, Xiuying, et al.. (2012). Screening for novel lead compounds increasing insulin expression in medullary thymic epithelial cells. European Journal of Pharmacology. 688(1-3). 84–89. 5 indexed citations

9.

Levi, Dina & Constantin Polychronakos. (2009). Regulation of insulin gene expression by cytokines and cell–cell interactions in mouse medullary thymic epithelial cells. Diabetologia. 52(10). 2151–2158. 13 indexed citations

10.

Palumbo, Michael, Dina Levi, Aziz Alami Chentoufi, & Constantin Polychronakos. (2006). Isolation and Characterization of Proinsulin-Producing Medullary Thymic Epithelial Cell Clones. Diabetes. 55(9). 2595–2601. 30 indexed citations

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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