Dane Vassiliadis

1.9k total citations
8 papers, 128 citations indexed

About

Dane Vassiliadis is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Dane Vassiliadis has authored 8 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biomedical Engineering. Recurrent topics in Dane Vassiliadis's work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Biofuel production and bioconversion (2 papers). Dane Vassiliadis is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Biofuel production and bioconversion (2 papers). Dane Vassiliadis collaborates with scholars based in Australia, Macao and Japan. Dane Vassiliadis's co-authors include Mark A. Dawson, Brendon J. Monahan, Katie Fennell, Alex Andrianopoulos, Koon Ho Wong, Enid Y.N. Lam, Sebastian Hollizeck, Yih-Chih Chan, Qing Wang and Andrew A. Guirguis and has published in prestigious journals such as Nature, Blood and Cancer Research.

In The Last Decade

Dane Vassiliadis

7 papers receiving 127 citations

Peers

Dane Vassiliadis
Comparison fields: 5 of 40
  • Molecular Biology 95
  • Cancer Research 46
  • Oncology 24
  • Immunology 18
  • Endocrinology 16
Replace Jeff Wintersinger with:
Jeff Wintersinger Canada
Patrick Connerty Australia
Ciara Cleary Austria
Sam de Blank Netherlands
Chenghua Cui China
Ilana Livyatan Israel
Palak C. Genge United States
Courteney K. Lai Germany
Giuseppina Pisignano United Kingdom
Cara Lord United States
Jeff Wintersinger Canada View profile →
Citations per field, relative to Dane Vassiliadis
Dane Vassiliadis · 1×
Citations per year, relative to Dane Vassiliadis
Dane Vassiliadis · 1×

Countries citing papers authored by Dane Vassiliadis

Since Specialization
Citations

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

Fields of papers citing papers by Dane Vassiliadis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dane Vassiliadis

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 4
2 1
3 0
4 11
5 76
6 17
7 2
8 17

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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