G. Skliris

1.5k citations
25 papers · 1.3k · h-index 20

Impact in

  • Genetics top 2%
    • Estrogen and related hormone effects
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cytokine Signaling Pathways and Interactions
    • Cancer Cells and Metastasis

Papers in

    • Estrogen and related hormone effects 16
    • RNA Research and Splicing 3
    • Molecular Biology Techniques and Applications 2

G. Skliris

25 papers receiving 1.3k citations

Peers

G. Skliris
Comparison fields: 5 of 90
  • Genetics 718
  • Oncology 540
  • Cancer Research 291
  • Immunology 205
  • Neurology 78
Replace Jean Coll with:
Jean Coll France
Louis P. Deiss United States
Carmela DeLuca Canada
Patrick Augereau France
Joseph T. Tseng Taiwan
Antoine Tinel Switzerland
Roland K. Ball Switzerland
Michal Štros Czechia
Esther W. Hou United States
Oekyung Kim United States
G. Skliris relative to Jean Coll France Jean Coll's profile →
Citations per field
00.5×9.8×
Jean Coll · 1×
Citations per year

Countries citing papers authored by G. Skliris

Since Specialization
Citations

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

Fields of papers citing papers by G. Skliris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Skliris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Skliris Line = papers co-authored together G. Skliris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003168
2 2002125
3 2002115
4 2006112
5 200192
6 200979
7 200174
8 200873
9 200669
10 200652
11 199941
12 199837
13 200834
14 200832
15 200632
16 200530
17 200628
18 200827
19 200926
20 199922

About G. Skliris

G. Skliris is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (16 papers), HER2/EGFR in Cancer Research (8 papers), Aquaculture disease management and microbiota (4 papers), Breast Cancer Treatment Studies (3 papers), RNA Research and Splicing (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Plant Virus Research Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Genetics (718 citations), Oncology (540 citations), Cancer Research (291 citations), Immunology (205 citations) and Neurology (78 citations). G. Skliris has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Leigh C. Murphy, P J Carder, Valerie Speirs, Peter H. Watson, Randolph H. Richards, Etienne Leygue, Mark Lansdown, Alicia Parkes, Ladislav Tomes and Gregory Weitsman. Their work appears in journals such as Breast Cancer Research and Treatment, Virus Research, British Journal of Cancer, The Journal of Pathology and Journal of Clinical Oncology.

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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