Savvas Kinalis

29 total papers · 740 total citations
16 papers, 458 citations indexed

About

Savvas Kinalis is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Savvas Kinalis has authored 16 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 7 papers in Cancer Research. Recurrent topics in Savvas Kinalis's work include Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). Savvas Kinalis is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). Savvas Kinalis collaborates with scholars based in Denmark, Sweden and Switzerland. Savvas Kinalis's co-authors include Frederik Otzen Bagger, Nicolas Rapin, Finn Cilius Nielsen, Christina W. Yde, Oľga Østrup, Maria Rossing, Ole Winther, Miglė Gabrielaitė, Ulrik Lassen and Eric Santoni‐Rugiu and has published in prestigious journals such as Nucleic Acids Research, Blood and Clinical Cancer Research.

In The Last Decade

Savvas Kinalis

16 papers receiving 455 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Savvas Kinalis 235 152 124 89 86 16 458
Cristina Largo 268 1.1× 119 0.8× 97 0.8× 91 1.0× 96 1.1× 12 479
Susana Lisboa 241 1.0× 97 0.6× 89 0.7× 91 1.0× 45 0.5× 25 431
W.L. Neuman 251 1.1× 131 0.9× 61 0.5× 93 1.0× 101 1.2× 18 476
Nina Friesgaard Øbro 247 1.1× 211 1.4× 154 1.2× 54 0.6× 67 0.8× 12 465
N Aoki 175 0.7× 239 1.6× 57 0.5× 85 1.0× 47 0.5× 13 453
Manuela Puopolo 272 1.2× 70 0.5× 120 1.0× 164 1.8× 95 1.1× 11 521
Romina Royo 383 1.6× 55 0.4× 158 1.3× 48 0.5× 70 0.8× 15 515
F Desangles 339 1.4× 205 1.3× 106 0.9× 77 0.9× 83 1.0× 18 551
Hélène Dreau 153 0.7× 103 0.7× 122 1.0× 63 0.7× 89 1.0× 26 491
Ashwini Yenamandra 361 1.5× 99 0.7× 64 0.5× 107 1.2× 61 0.7× 21 517

Countries citing papers authored by Savvas Kinalis

Since Specialization
Citations

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

Fields of papers citing papers by Savvas Kinalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savvas Kinalis

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

All Works

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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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