Thanos P. Mourikis

3.2k total citations
9 papers, 318 citations indexed

About

Thanos P. Mourikis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Thanos P. Mourikis has authored 9 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Thanos P. Mourikis's work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (2 papers). Thanos P. Mourikis is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (2 papers). Thanos P. Mourikis collaborates with scholars based in United Kingdom, United States and France. Thanos P. Mourikis's co-authors include Francesca D. Ciccarelli, Ömer An, Giovanni Marco Dall’Olio, Matteo Cereda, Saioa López, Sally M. Dewhurst, Nicholas McGranahan, Stuart Horswell, Nicolai J. Birkbak and Michelle Dietzen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Thanos P. Mourikis

9 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanos P. Mourikis United Kingdom 7 164 150 90 54 49 9 318
Agnese A. Pollice United States 11 207 1.3× 131 0.9× 122 1.4× 67 1.2× 43 0.9× 15 390
Norman Pratt United Kingdom 11 185 1.1× 97 0.6× 73 0.8× 87 1.6× 108 2.2× 17 372
Lovisa Österberg Sweden 11 175 1.1× 121 0.8× 72 0.8× 47 0.9× 29 0.6× 12 301
Subrata Manna United States 8 179 1.1× 106 0.7× 124 1.4× 84 1.6× 31 0.6× 12 358
Xiaobing Miao China 12 237 1.4× 96 0.6× 100 1.1× 17 0.3× 32 0.7× 22 356
You Lu China 7 234 1.4× 65 0.4× 117 1.3× 47 0.9× 71 1.4× 12 343
Ming‐Hsin Yeh Taiwan 10 223 1.4× 144 1.0× 126 1.4× 50 0.9× 49 1.0× 12 359
Nilesh Gardi India 12 204 1.2× 103 0.7× 96 1.1× 35 0.6× 32 0.7× 28 329
Brendon Ladd United States 11 489 3.0× 106 0.7× 109 1.2× 63 1.2× 74 1.5× 19 584
Edison Tak‐Bun Liu Singapore 7 246 1.5× 85 0.6× 117 1.3× 33 0.6× 27 0.6× 7 363

Countries citing papers authored by Thanos P. Mourikis

Since Specialization
Citations

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

Fields of papers citing papers by Thanos P. Mourikis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanos P. Mourikis. 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 Thanos P. Mourikis. The network helps show where Thanos P. Mourikis may publish in the future.

Co-authorship network of co-authors of Thanos P. Mourikis

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

All Works

9 of 9 papers shown
1.
Opzoomer, James W., Kevin Blighe, Thanos P. Mourikis, et al.. (2021). ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data. eLife. 10. 10 indexed citations
2.
Costantini, Benedetta, Syed A. Mian, Pilar Perez Abellan, et al.. (2020). Treg sensitivity to FasL and relative IL-2 deprivation drive idiopathic aplastic anemia immune dysfunction. Blood. 136(7). 885–897. 21 indexed citations
3.
Opzoomer, James W., Kevin Blighe, Benedetta Apollonio, et al.. (2020). Immunocluster: A Computational Tool to Explore the Immune Profile and Cellular Heterogeneity of Hematological Diseases Using Liquid and Imaging Mass, and Flow Cytometry Data. Blood. 136(Supplement 1). 9–10. 1 indexed citations
4.
López, Saioa, Emilia L. Lim, Stuart Horswell, et al.. (2020). Interplay between whole-genome doubling and the accumulation of deleterious alterations in cancer evolution. Nature Genetics. 52(3). 283–293. 129 indexed citations
5.
Silva, Joana Ferreira da, Thanos P. Mourikis, Peter Májek, et al.. (2019). Mapping the Human Kinome in Response to DNA Damage. Cell Reports. 26(3). 555–563.e6. 16 indexed citations
6.
Cereda, Matteo, Thanos P. Mourikis, & Francesca D. Ciccarelli. (2016). Genetic Redundancy, Functional Compensation, and Cancer Vulnerability. Trends in cancer. 2(4). 160–162. 15 indexed citations
7.
Cereda, Matteo, Gennaro Gambardella, Lorena Benedetti, et al.. (2016). Patients with genetically heterogeneous synchronous colorectal cancer carry rare damaging germline mutations in immune-related genes. Nature Communications. 7(1). 12072–12072. 43 indexed citations
8.
Smith, Alexander, et al.. (2016). Mass Cytometry Reveals PD1 Upregulation Is an Early Step in MDS Disease Progression. Blood. 128(22). 4296–4296. 6 indexed citations
9.
An, Ömer, Giovanni Marco Dall’Olio, Thanos P. Mourikis, & Francesca D. Ciccarelli. (2015). NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings. Nucleic Acids Research. 44(D1). D992–D999. 77 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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