George Stamatoyannopoulos

19.2k total citations
174 papers, 6.9k citations indexed

About

George Stamatoyannopoulos is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, George Stamatoyannopoulos has authored 174 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 79 papers in Genetics and 53 papers in Genetics. Recurrent topics in George Stamatoyannopoulos's work include Hemoglobinopathies and Related Disorders (77 papers), CRISPR and Genetic Engineering (42 papers) and Virus-based gene therapy research (28 papers). George Stamatoyannopoulos is often cited by papers focused on Hemoglobinopathies and Related Disorders (77 papers), CRISPR and Genetic Engineering (42 papers) and Virus-based gene therapy research (28 papers). George Stamatoyannopoulos collaborates with scholars based in United States, Greece and Germany. George Stamatoyannopoulos's co-authors include Thalia Papayannopoulou, Qiliang Li, Kenneth R. Peterson, David W. Emery, Xiangdong Fang, Evangelia Yannaki, André Lieber, Douglas R. Higgs, James Douglas Engel and Haruhiko Asano and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

George Stamatoyannopoulos

171 papers receiving 6.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Stamatoyannopoulos United States 46 4.2k 2.9k 1.9k 1.8k 1.1k 174 6.9k
Bernard G. Forget United States 51 4.0k 0.9× 2.8k 1.0× 1.0k 0.6× 1.8k 1.0× 839 0.8× 162 7.5k
Eric E. Bouhassira United States 41 3.7k 0.9× 1.6k 0.6× 1.2k 0.6× 1.7k 0.9× 348 0.3× 106 6.5k
SH Orkin United States 32 3.4k 0.8× 1.3k 0.5× 992 0.5× 1.7k 0.9× 243 0.2× 50 6.0k
Arthur Bank United States 31 2.0k 0.5× 1.3k 0.5× 1.0k 0.5× 906 0.5× 369 0.3× 107 3.8k
Caroline Le Van Kim France 44 1.6k 0.4× 1.4k 0.5× 936 0.5× 3.7k 2.1× 880 0.8× 153 6.5k
Anna Jauch Germany 43 5.2k 1.2× 789 0.3× 1.6k 0.9× 1.8k 1.0× 196 0.2× 194 7.7k
Ramana Tantravahi United States 36 2.5k 0.6× 658 0.2× 993 0.5× 2.4k 1.4× 368 0.3× 79 5.8k
Stefan K. Bohlander Germany 52 5.4k 1.3× 1.3k 0.5× 976 0.5× 4.2k 2.4× 222 0.2× 184 9.2k
Kenzaburo Tani Japan 38 2.4k 0.6× 569 0.2× 1.1k 0.6× 1.2k 0.7× 199 0.2× 225 5.4k
Xiuli An United States 44 2.7k 0.6× 1.4k 0.5× 330 0.2× 1.4k 0.8× 359 0.3× 155 6.4k

Countries citing papers authored by George Stamatoyannopoulos

Since Specialization
Citations

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

Fields of papers citing papers by George Stamatoyannopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Stamatoyannopoulos

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

All Works

20 of 20 papers shown
1.
Psatha, Nikoletta, Pavel Sova, Grigorios Georgolopoulos, et al.. (2025). Large-scale discovery of potent, compact and erythroid specific enhancers for gene therapy vectors. Nature Communications. 16(1). 4325–4325.
2.
Drineas, Petros, Fotis Tsetsos, Anna Plantinga, et al.. (2019). Genetic history of the population of Crete. Annals of Human Genetics. 83(6). 373–388. 3 indexed citations
3.
Lieber, André, Hongjie Wang, Nikoletta Psatha, et al.. (2017). In Vivo HSC Transduction and Selection Results in Long-Term, High-Level Expression of Human Gamma Globin in Peripheral Blood Erythrocytes of Mice. Blood. 130. 4616–4616. 1 indexed citations
4.
Stamatoyannopoulos, George, Athanasios Teodosiadis, Fotis Tsetsos, et al.. (2017). Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks. European Journal of Human Genetics. 25(5). 637–645. 11 indexed citations
5.
6.
Xiong, Qian, Zhaojun Zhang, Kai‐Hsin Chang, et al.. (2013). Comprehensive characterization of erythroid-specific enhancers in the genomic regions of human Krüppel-like factors. BMC Genomics. 14(1). 587–587. 18 indexed citations
7.
Yannaki, Evangelia, Thalia Papayannopoulou, Erica C. Jonlin, et al.. (2011). Hematopoietic Stem Cell Mobilization for Gene Therapy of Adult Patients With Severe β-Thalassemia: Results of Clinical Trials Using G-CSF or Plerixafor in Splenectomized and Nonsplenectomized Subjects. Molecular Therapy. 20(1). 230–238. 52 indexed citations
8.
9.
Zhan, Mei, et al.. (2007). MicroRNA expression dynamics during murine and human erythroid differentiation. Experimental Hematology. 35(7). 1015–1025. 131 indexed citations
10.
11.
Yannaki, Evangelia, Julie Tubb, Mari Aker, George Stamatoyannopoulos, & David W. Emery. (2002). Topological Constraints Governing the Use of the Chicken HS4 Chromatin Insulator in Oncoretrovirus Vectors. Molecular Therapy. 5(5). 589–598. 63 indexed citations
12.
Asano, Haruhiko & George Stamatoyannopoulos. (1998). Activation of β-Globin Promoter by Erythroid Kruppel-Like Factor. Molecular and Cellular Biology. 18(1). 102–109. 38 indexed citations
13.
Blau, C. Anthony & George Stamatoyannopoulos. (1996). Preemptive therapy for genetic disease. Nature Medicine. 2(2). 161–162. 10 indexed citations
14.
Peterson, Kenneth R. & George Stamatoyannopoulos. (1993). Role of Gene Order in Developmental Control of Human γ- and β-Globin Gene Expression. Molecular and Cellular Biology. 13(8). 4836–4843. 98 indexed citations
15.
Stamatoyannopoulos, George, B Josephson, Jun‐Wu Zhang, & Qiliang Li. (1993). Developmental Regulation of Human γ-Globin Genes in Transgenic Mice. Molecular and Cellular Biology. 13(12). 7636–7644. 28 indexed citations
16.
Stamatoyannopoulos, George & Arthur W. Nienhuis. (1989). Hemoglobin switching : proceedings of the Sixth Conference on Hemoglobin Switching, held in Airlie, Virginia, September 24-27, 1988. 1 indexed citations
17.
Gelinas, Richard, et al.. (1985). G to A substitution in the distal CCAAT box of the Aγ-globin gene in Greek hereditary persistence of fetal haemoglobin. Nature. 313(6000). 323–325. 175 indexed citations
18.
Kurnit, David M., Steven Matthysse, Thalia Papayannopoulou, & George Stamatoyannopoulos. (1985). Stochastic branching model for hemopoietic progenitor cell differentiation. Journal of Cellular Physiology. 123(1). 55–63. 23 indexed citations
19.
Stamatoyannopoulos, George & Arthur W. Nienhuis. (1981). Hemoglobins in development and differentiation. 12 indexed citations
20.
Stamatoyannopoulos, George, et al.. (1968). Hemoglobin Rainier (β 145 Tyrosine → Histidine): Alkali-Resistant Hemoglobin with Increased Oxygen Affinity. Science. 159(3816). 741–743. 32 indexed citations

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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