Maria Hatzoglou

10.7k citations
114 papers · 7.9k indexed · 1 hit paper · h-index 50
  • Cell Biology top 0.2%
    • Endoplasmic Reticulum Stress and Disease 32
  • Biochemistry top 0.5%
    • Amino Acid Enzymes and Metabolism 12
    • RNA regulation and disease 30
    • RNA and protein synthesis mechanisms 26
    • RNA Research and Splicing 22
    • RNA modifications and cancer 17
  • Aging top 2%
    • Adipose Tissue and Metabolism 10
    • Virus-based gene therapy research 9

Maria Hatzoglou

113 papers receiving 7.8k citations

Hit Papers

ER-stress-induced transcriptional regulation increases pr...1.3k20132026201720214008001.2k

Peers

Maria Hatzoglou
Comparison fields: 5 of 128
  • Cell Biology 2.1k
  • Biochemistry 713
  • Molecular Biology 5.4k
  • Cancer Research 1.1k
  • Aging 95
Replace Leon O. Murphy with:
Leon O. Murphy United States
Michael S. Kilberg United States
Juro Sakai Japan
Hideki Nishitoh Japan
Pierre Fafournoux France
Richard A. Rachubinski Canada
Besim Öğretmen United States
Robert A. Saxton United States
Didier Vertommen Belgium
Jacek Bielawski United States
Maria Hatzoglou relative to Leon O. Murphy United States Leon O. Murphy's profile →
Citations per field
00.5×1.5×2.2×
Leon O. Murphy · 1×
Citations per year

Countries citing papers authored by Maria Hatzoglou

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hatzoglou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20233
3 202037
4 202020
5 201910
6 20198
7 201718
8 2017117
9 201777
10 201529
11 2015135
12 2015195
13 2014123
14 200835
15 2005204
16 2004209
17 200289
18 200273
19 199972
20 19893

About Maria Hatzoglou

Maria Hatzoglou is a scholar working on Biochemistry, Cell Biology and Molecular Biology, having authored 114 papers that have together received 7.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (32 papers), RNA regulation and disease (30 papers), RNA and protein synthesis mechanisms (26 papers), RNA Research and Splicing (22 papers), RNA modifications and cancer (17 papers), Amino Acid Enzymes and Metabolism (12 papers), Adipose Tissue and Metabolism (10 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Cell Biology (2.1k citations), Biochemistry (713 citations) and Molecular Biology (5.4k citations). Maria Hatzoglou has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Anton A. Komar, Dawid Krokowski, Martin D. Snider, Randal J. Kaufman, İbrahim Yaman, James Fernandez, Celvie L. Yuan, Antonis E. Koromilas, Mithu Majumder and Jaeseok Han. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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