Polynikis Kaimakis

1.8k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Polynikis Kaimakis is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Polynikis Kaimakis has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Polynikis Kaimakis's work include Zebrafish Biomedical Research Applications (9 papers), Epigenetics and DNA Methylation (5 papers) and Genomics and Rare Diseases (2 papers). Polynikis Kaimakis is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Epigenetics and DNA Methylation (5 papers) and Genomics and Rare Diseases (2 papers). Polynikis Kaimakis collaborates with scholars based in Netherlands, United Kingdom and United States. Polynikis Kaimakis's co-authors include Elaine Dzierzak, Berthold Göttgens, Willem H. Ouwehand, Marella de Bruijn, Judith Schütte, John E. Pimanda, Kathy Knezevic, Nicola K. Wilson, Sarah Kinston and Samuel D. Foster and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.

In The Last Decade

Polynikis Kaimakis

16 papers receiving 1.3k citations

Hit Papers

Combinatorial Transcriptional Control In Blood Stem/Proge... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Polynikis Kaimakis Netherlands 13 764 532 391 291 281 16 1.3k
Kathy Knezevic Australia 19 1.4k 1.9× 678 1.3× 497 1.3× 355 1.2× 120 0.4× 31 1.9k
Jianlong Sun United States 12 930 1.2× 545 1.0× 307 0.8× 423 1.5× 145 0.5× 24 1.5k
Meghan E. Boyer United States 19 1.3k 1.7× 437 0.8× 166 0.4× 228 0.8× 249 0.9× 23 1.6k
Joanna Tober United States 14 676 0.9× 410 0.8× 631 1.6× 437 1.5× 97 0.3× 19 1.2k
Valérie Lemarchandel France 13 648 0.8× 367 0.7× 179 0.5× 246 0.8× 186 0.7× 17 1.2k
Christophe Lancrin Italy 14 893 1.2× 409 0.8× 767 2.0× 372 1.3× 90 0.3× 22 1.4k
Samir Taoudi Australia 16 733 1.0× 546 1.0× 927 2.4× 439 1.5× 117 0.4× 23 1.4k
Dominique Dumènil France 20 705 0.9× 555 1.0× 206 0.5× 430 1.5× 206 0.7× 56 1.5k
Chris S. Vink United Kingdom 18 632 0.8× 379 0.7× 659 1.7× 483 1.7× 72 0.3× 24 1.1k
Tong Yin China 7 836 1.1× 412 0.8× 114 0.3× 254 0.9× 133 0.5× 19 1.3k

Countries citing papers authored by Polynikis Kaimakis

Since Specialization
Citations

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

Fields of papers citing papers by Polynikis Kaimakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polynikis Kaimakis

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

All Works

16 of 16 papers shown
1.
Bertacchi, Michele, Agnès Gruart, Polynikis Kaimakis, et al.. (2019). Mouse Nr2f1 haploinsufficiency unveils new pathological mechanisms of a human optic atrophy syndrome. EMBO Molecular Medicine. 11(8). e10291–e10291. 22 indexed citations
2.
Mercurio, Sara, Luisa Sánchez‐Arrones, Francesca Inverardi, et al.. (2019). Sox2 Acts in Thalamic Neurons to Control the Development of Retina-Thalamus-Cortex Connectivity. iScience. 15. 257–273. 24 indexed citations
3.
Esteve, Pilar, Inmaculada Crespo, Polynikis Kaimakis, África Sandonís, & Paola Bovolenta. (2018). Sfrp1 Modulates Cell-signaling Events Underlying Telencephalic Patterning, Growth and Differentiation. Cerebral Cortex. 29(3). 1059–1074. 11 indexed citations
4.
Kaimakis, Polynikis, Helen R. Taylor, Lesley M. Forrester, et al.. (2018). Rapid Mast Cell Generation from Gata2 Reporter Pluripotent Stem Cells. Stem Cell Reports. 11(4). 1009–1020. 12 indexed citations
5.
Kaimakis, Polynikis, et al.. (2017). In Vitro Differentiation of Gata2 and Ly6a Reporter Embryonic Stem Cells Corresponds to In Vivo Waves of Hematopoietic Cell Generation. Stem Cell Reports. 10(1). 151–165. 6 indexed citations
6.
Eich, Christina, Jochen Arlt, Chris S. Vink, et al.. (2017). In vivo single cell analysis reveals Gata2 dynamics in cells transitioning to hematopoietic fate. The Journal of Experimental Medicine. 215(1). 233–248. 35 indexed citations
7.
Kaimakis, Polynikis, Emma de Pater, Christina Eich, et al.. (2016). Functional and molecular characterization of mouse Gata2-independent hematopoietic progenitors. Blood. 127(11). 1426–1437. 27 indexed citations
8.
Imanirad, Parisa, Parham Solaimani Kartalaei, Mihaela Crisan, et al.. (2013). HIF1α is a regulator of hematopoietic progenitor and stem cell development in hypoxic sites of the mouse embryo. Stem Cell Research. 12(1). 24–35. 64 indexed citations
9.
Pater, Emma de, Polynikis Kaimakis, Chris S. Vink, et al.. (2013). Gata2 is required for HSC generation and survival. The Journal of Experimental Medicine. 210(13). 2843–2850. 173 indexed citations
10.
Pater, Emma de, Polynikis Kaimakis, Chris S. Vink, et al.. (2013). GATA2 is required for HSC generation and survival. Experimental Hematology. 41(8). S18–S18. 17 indexed citations
11.
Kaimakis, Polynikis, Mihaela Crisan, & Elaine Dzierzak. (2012). The biochemistry of hematopoietic stem cell development. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(2). 2395–2403. 32 indexed citations
12.
Wilson, Nicola K., Samuel D. Foster, Xiaonan Wang, et al.. (2010). Combinatorial Transcriptional Control In Blood Stem/Progenitor Cells: Genome-wide Analysis of Ten Major Transcriptional Regulators. Cell stem cell. 7(4). 532–544. 523 indexed citations breakdown →
13.
Robin, Catherine, Karine Bollérot, Sandra Mendes, et al.. (2009). Human Placenta Is a Potent Hematopoietic Niche Containing Hematopoietic Stem and Progenitor Cells throughout Development. Cell stem cell. 5(4). 385–395. 155 indexed citations
14.
Giardine, Belinda, Sjozèf van Baal, Polynikis Kaimakis, et al.. (2007). HbVar database of human hemoglobin variants and thalassemia mutations: 2007 update. Human Mutation. 28(2). 206–206. 163 indexed citations
15.
Papachatzopoulou, Adamantia, Polynikis Kaimakis, Farzin Pourfarzad, et al.. (2007). Increased γ‐globin gene expression in β‐thalassemia intermedia patients correlates with a mutation in 3′HS1. American Journal of Hematology. 82(11). 1005–1009. 16 indexed citations
16.
Baal, Sjozèf van, Polynikis Kaimakis, Harry Cuppens, et al.. (2006). FINDbase: a relational database recording frequencies of genetic defects leading to inherited disorders worldwide. Nucleic Acids Research. 35(suppl_1). D690–D695. 34 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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