George Simos

6.5k citations
97 papers · 5.5k · h-index 45

Impact in

    • Cancer, Hypoxia, and Metabolism
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • Mitochondrial Function and Pathology
    • RNA regulation and disease

Papers in

    • RNA modifications and cancer 34
    • RNA Research and Splicing 30
    • RNA and protein synthesis mechanisms 23
    • Nuclear Structure and Function 18
    • Metabolism, Diabetes, and Cancer 7
    • Ubiquitin and proteasome pathways 6
    • Cancer, Hypoxia, and Metabolism 44

George Simos

96 papers receiving 5.4k citations

Peers

George Simos
Comparison fields: 5 of 115
  • Cancer Research 1.4k
  • Molecular Biology 4.1k
  • Biochemistry 175
  • Cell Biology 371
  • Oncology 457
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George Simos relative to Tetsuo Mashima Japan Tetsuo Mashima's profile →
Citations per field
00.5×
Tetsuo Mashima · 1×
Citations per year

Countries citing papers authored by George Simos

Since Specialization
Citations

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

Fields of papers citing papers by George Simos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside George Simos, 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 George Simos Line = papers co-authored together George Simos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 1998230
3 2006230
4 1998209
5 1996204
6 1998162
7 1996160
8 2000151
9 1999142
10 1996135
11 1998123
12 2012119
13 2011116
14 2001109
15 1998105
16 1998105
17 2006101
18 1991100
19 201095
20 199687

About George Simos

George Simos is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Cell Biology, having authored 97 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (44 papers), RNA modifications and cancer (34 papers), RNA Research and Splicing (30 papers), RNA and protein synthesis mechanisms (23 papers), Nuclear Structure and Function (18 papers), Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (4.1k citations), Biochemistry (175 citations), Cell Biology (371 citations) and Oncology (457 citations). George Simos has collaborated with scholars based in Greece, Germany and Canada. Frequent co-authors include Ilias Mylonis, Ed Hurt, Efrosyni Paraskeva, Spyros D. Georgatos, Georgia Chachami, Helge Großhans, Eduard C. Hurt, Henri Grosjean, Franco Fasiolo and Alexandra Segref. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Biochemical and Biophysical Research Communications, Journal of Cell Science and FEBS Letters.

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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