Nikolaos Barkas

4.0k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Nikolaos Barkas is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Nikolaos Barkas has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Hematology and 4 papers in Genetics. Recurrent topics in Nikolaos Barkas's work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). Nikolaos Barkas is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). Nikolaos Barkas collaborates with scholars based in United Kingdom, United States and Sweden. Nikolaos Barkas's co-authors include Peter V. Kharchenko, Adam J. Mead, Sten Eirik W. Jacobsen, Alice Giustacchini, Alba Rodríguez-Meira, Benjamin Povinelli, Supat Thongjuea, Viktor Petukhov, Neil Ashley and Daria Nikolaeva and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Nikolaos Barkas

20 papers receiving 1.3k citations

Hit Papers

Analysis of 6.4 million SARS-CoV-2 genomes identifies mut... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolaos Barkas United Kingdom 12 858 316 308 177 152 22 1.3k
Susanne Reinhardt Germany 19 517 0.6× 73 0.2× 110 0.4× 375 2.1× 52 0.3× 47 1.2k
Edwin D. Hawkins Australia 25 854 1.0× 274 0.9× 156 0.5× 1.2k 6.8× 26 0.2× 54 2.2k
Élodie Gautier France 10 449 0.5× 178 0.6× 99 0.3× 300 1.7× 73 0.5× 19 1.1k
Franziska Paul Israel 10 1.4k 1.6× 137 0.4× 336 1.1× 801 4.5× 18 0.1× 15 2.0k
Fiona Hamey United Kingdom 12 1.5k 1.7× 353 1.1× 257 0.8× 655 3.7× 12 0.1× 19 2.0k
Daniel Bottomly United States 18 856 1.0× 554 1.8× 166 0.5× 146 0.8× 19 0.1× 58 1.5k
May M. Paing United States 15 858 1.0× 323 1.0× 115 0.4× 244 1.4× 22 0.1× 18 1.4k
Lesley Vanes United Kingdom 21 897 1.0× 203 0.6× 114 0.4× 942 5.3× 42 0.3× 26 2.2k
Rahul Karnik United States 14 1.6k 1.8× 122 0.4× 259 0.8× 74 0.4× 21 0.1× 25 1.8k
Christin S. Kuo United States 10 936 1.1× 39 0.1× 141 0.5× 261 1.5× 60 0.4× 14 1.7k

Countries citing papers authored by Nikolaos Barkas

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaos Barkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaos Barkas

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaos Barkas. A scholar is included among the top collaborators of Nikolaos Barkas 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 Nikolaos Barkas. Nikolaos Barkas 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.
Gustafsson, Karin, Johanna Hofmann, Kameron Kooshesh, et al.. (2025). Mesenchymal thymic niche cells enable regeneration of the adult thymus and T cell immunity. Nature Biotechnology.
2.
Malik, Mohd Yaseen, Nikolaos Barkas, Kerstin N. Timm, et al.. (2024). Impaired striatal glutathione–ascorbate metabolism induces transient dopamine increase and motor dysfunction. Nature Metabolism. 6(11). 2100–2117. 2 indexed citations
3.
Normandin, Erica, Melissa A. Rudy, Nikolaos Barkas, et al.. (2023). High-depth sequencing characterization of viral dynamics across tissues in fatal COVID-19 reveals compartmentalized infection. Nature Communications. 14(1). 574–574. 12 indexed citations
4.
Jankowiak, Martin, Nikolaos Barkas, S. F. Schaffner, et al.. (2022). Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness. Science. 376(6599). 1327–1332. 162 indexed citations breakdown →
5.
Fast, Eva M., Edroaldo Lummertz da Rocha, Song Yang, et al.. (2021). External signals regulate continuous transcriptional states in hematopoietic stem cells. eLife. 10. 15 indexed citations
6.
Kupari, Jussi, Dmitry Usoskin, Marc Parisien, et al.. (2021). Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain. Nature Communications. 12(1). 1510–1510. 110 indexed citations
7.
Barkas, Nikolaos, Maurício Machaim Franco, Michael Cowley, et al.. (2021). Imprinted Gene Expression and Function of the Dopa Decarboxylase Gene in the Developing Heart. Frontiers in Cell and Developmental Biology. 9. 676543–676543. 10 indexed citations
8.
Cowley, Michael, et al.. (2020). Transcription of intragenic CpG islands influences spatiotemporal host gene pre-mRNA processing. Nucleic Acids Research. 48(15). 8349–8359. 10 indexed citations
9.
Rodríguez-Meira, Alba, Gemma Buck, Sally‐Ann Clark, et al.. (2019). Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing. Molecular Cell. 73(6). 1292–1305.e8. 204 indexed citations
10.
Barkas, Nikolaos, Viktor Petukhov, Daria Nikolaeva, et al.. (2019). Joint analysis of heterogeneous single-cell RNA-seq dataset collections. Nature Methods. 16(8). 695–698. 166 indexed citations
11.
Barkas, Nikolaos, et al.. (2019). Myocardial differentiation is dependent upon endocardial signaling during early cardiogenesis in vitro. Development. 146(9). 22 indexed citations
12.
Booth, Christopher A.G., Nikolaos Barkas, Wen Hao Neo, et al.. (2018). Ezh2 and Runx1 Mutations Collaborate to Initiate Lympho-Myeloid Leukemia in Early Thymic Progenitors. Cancer Cell. 33(2). 274–291.e8. 39 indexed citations
13.
Fan, Jean, Hae‐Ock Lee, Soohyun Lee, et al.. (2018). Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Genome Research. 28(8). 1217–1227. 126 indexed citations
14.
Povinelli, Benjamin, Quin F. Wills, Nikolaos Barkas, et al.. (2018). Integrated Single Cell Analysis Reveals Cell Cycle and Ontogeny Related Transcriptional Heterogeneity in Hscs. Experimental Hematology. 64. S95–S96. 1 indexed citations
15.
Povinelli, Benjamin, Quin F. Wills, Nikolaos Barkas, et al.. (2017). Unravelling Cell Cycle and Ontogeny Transcriptional Heterogeneity in Hematopoietic Stem Cells through Integrated Single Cell RNA-Seq. Blood. 130(Suppl_1). 769–769. 1 indexed citations
16.
Giustacchini, Alice, Supat Thongjuea, Nikolaos Barkas, et al.. (2017). Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia. Nature Medicine. 23(6). 692–702. 287 indexed citations
17.
Shtrepi, Louena, et al.. (2016). Acoustic characterization of the ancient theatre of Tyndaris: Evaluation and proposals for its reuse. PORTO Publications Open Repository TOrino (Politecnico di Torino). 8 indexed citations
18.
Barkas, Nikolaos. (2016). Sleep and Sleeplessness in Byzantium. Gorgias Press eBooks.
19.
Psaila, Bethan, Nikolaos Barkas, Deena Iskander, et al.. (2016). Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways. Genome biology. 17(1). 83–83. 98 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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