G. Skliris

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

Impact in

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

Papers in

G. Skliris

25 papers receiving 1.3k citations

Peers

G. Skliris
Comparison fields: 5 of 86
  • Genetics 640
  • Oncology 423
  • Cancer Research 224
  • Immunology 201
  • Neurology 77
Replace Jean Coll with:
Jean Coll France
Patrick Augereau France
Carmela DeLuca Canada
Louis P. Deiss United States
Roland K. Ball Switzerland
Michal Štros Czechia
Antoine Tinel Switzerland
Oekyung Kim United States
Rebecca Smith United States
Shuwei Li United States
G. Skliris relative to Jean Coll France Jean Coll's profile →
Citations per field
00.5×11×
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 2003169
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 200629
18 200827
19 200926
20 199922

About G. Skliris

G. Skliris is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Aquatic Science, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (15 papers), HER2/EGFR in Cancer Research (6 papers), Aquaculture disease management and microbiota (4 papers), Retinoids in leukemia and cellular processes (2 papers), Aquaculture Nutrition and Growth (2 papers), Breast Cancer Treatment Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Genetics (640 citations), Oncology (423 citations), Cancer Research (224 citations), Immunology (201 citations) and Neurology (77 citations). G. Skliris has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Leigh C. Murphy, Valerie Speirs, P J Carder, Peter H. Watson, Randolph H. Richards, Etienne Leygue, Alicia Parkes, Mark Lansdown, Ladislav Tomes and Gregory Weitsman. Their work appears in journals such as Breast Cancer Research and Treatment, The Journal of Pathology, Journal of Clinical Oncology, The Journal of Steroid Biochemistry and Molecular Biology and Virus Research.

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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