Charalampos Lazaris

1.9k total citations · 1 hit paper
14 papers, 947 citations indexed

About

Charalampos Lazaris is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Charalampos Lazaris has authored 14 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Charalampos Lazaris's work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers) and Epigenetics and DNA Methylation (2 papers). Charalampos Lazaris is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers) and Epigenetics and DNA Methylation (2 papers). Charalampos Lazaris collaborates with scholars based in United States, Greece and Denmark. Charalampos Lazaris's co-authors include Iannis Aifantis, Aristotelis Tsirigos, Panagiotis Ntziachristos, Jonathan E. Henninger, Ibrahim I. Cissé, Ming Zheng, Nancy M. Hannett, Tong Ihn Lee, Richard A. Young and Gary LeRoy and has published in prestigious journals such as Cell, Nature Medicine and Nature Communications.

In The Last Decade

Charalampos Lazaris

14 papers receiving 937 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RNA-Mediated Feedback Control of Transcriptional Condensates

2020 365 citations Jonathan E. Henninger, Ozgur Oksuz et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charalampos Lazaris United States	11	782	98	88	76	75	14	947
Jean‐Yves Thuret France	15	843 1.1×	149 1.5×	126 1.4×	90 1.2×	80 1.1×	22	1.0k
Sara Kantrow United States	12	646 0.8×	82 0.8×	248 2.8×	95 1.3×	118 1.6×	25	915
Giuseppina Giglia‐Mari France	10	940 1.2×	97 1.0×	264 3.0×	157 2.1×	46 0.6×	21	1.1k
David T. McSwiggen United States	9	1.2k 1.6×	88 0.9×	83 0.9×	69 0.9×	63 0.8×	16	1.4k
S. Matsumoto Japan	10	1.0k 1.3×	69 0.7×	251 2.9×	62 0.8×	43 0.6×	16	1.1k
Arkaitz Ibarra United States	11	1.0k 1.3×	155 1.6×	127 1.4×	143 1.9×	34 0.5×	13	1.2k
Giuseppina Giglia‐Mari France	16	1.1k 1.5×	73 0.7×	261 3.0×	242 3.2×	61 0.8×	20	1.3k
Chongwoo A. Kim United States	14	838 1.1×	81 0.8×	97 1.1×	43 0.6×	55 0.7×	20	1.0k
Luis M. Criado Spain	13	676 0.9×	68 0.7×	336 3.8×	143 1.9×	158 2.1×	18	1.0k
Chenghao Xuan China	18	887 1.1×	57 0.6×	177 2.0×	222 2.9×	87 1.2×	35	1.1k

Countries citing papers authored by Charalampos Lazaris

Since Specialization

Citations

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

Fields of papers citing papers by Charalampos Lazaris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charalampos Lazaris

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

All Works

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14 of 14 papers shown

Charokopos, Nikolaos, Ιάσων Θωμάς, Anne-Lise de Lastic, et al.. (2023). Shifting gears: Study of immune system parameters of male habitual marathon runners. Frontiers in Immunology. 13. 1009065–1009065. 2 indexed citations

Dall’Agnese, Alessandra, Jesse M. Platt, Ming Zheng, et al.. (2022). The dynamic clustering of insulin receptor underlies its signaling and is disrupted in insulin resistance. Nature Communications. 13(1). 7522–7522. 33 indexed citations

Geiler‐Samerotte, Kerry, Shuang Li, Charalampos Lazaris, et al.. (2020). Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping. PLoS Biology. 18(8). e3000836–e3000836. 26 indexed citations

Henninger, Jonathan E., Ozgur Oksuz, Krishna Shrinivas, et al.. (2020). RNA-Mediated Feedback Control of Transcriptional Condensates. Cell. 184(1). 207–225.e24. 365 indexed citations breakdown →

Lazaris, Charalampos, Iannis Aifantis, & Aristotelis Tsirigos. (2020). On Epigenetic Plasticity and Genome Topology. Trends in cancer. 6(3). 177–180. 4 indexed citations

Kourtis, Nikos, Charalampos Lazaris, Kathryn Hockemeyer, et al.. (2018). Oncogenic hijacking of the stress response machinery in T cell acute lymphoblastic leukemia. Nature Medicine. 24(8). 1157–1166. 58 indexed citations

Gong, Yixiao, Charalampos Lazaris, Theodore Sakellaropoulos, et al.. (2018). Stratification of TAD boundaries reveals preferential insulation of super-enhancers by strong boundaries. Nature Communications. 9(1). 542–542. 94 indexed citations

Lazaris, Charalampos, et al.. (2017). HiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking. BMC Genomics. 18(1). 22–22. 49 indexed citations

Sun, Amy, Laura K. Fogli, Miriam Eckstein, et al.. (2017). Role of Dysregulated Cytokine Signaling and Bacterial Triggers in the Pathogenesis of Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 138(5). 1116–1125. 64 indexed citations

10.

Strikoudis, Alexandros, Charalampos Lazaris, Panagiotis Ntziachristos, Aristotelis Tsirigos, & Iannis Aifantis. (2017). Opposing functions of H2BK120 ubiquitylation and H3K79 methylation in the regulation of pluripotency by the Paf1 complex. Cell Cycle. 16(24). 2315–2322. 13 indexed citations

11.

Strikoudis, Alexandros, Charalampos Lazaris, Thomas Trimarchi, et al.. (2016). Regulation of transcriptional elongation in pluripotency and cell differentiation by the PHD-finger protein Phf5a. Nature Cell Biology. 18(11). 1127–1138. 54 indexed citations

12.

King, Bryan H., Francesco Boccalatte, Elmar Wolf, et al.. (2016). The ubiquitin ligase Huwe1 regulates the maintenance and lymphoid commitment of hematopoietic stem cells. Nature Immunology. 17(11). 1312–1321. 59 indexed citations

13.

Kourtis, Nikos, Rana S. Moubarak, Beatriz Aranda-Orgillés, et al.. (2015). FBXW7 modulates cellular stress response and metastatic potential through HSF1 post-translational modification. Nature Cell Biology. 17(3). 322–332. 125 indexed citations

14.

Richardet, Eduardo, et al.. (1993). Phase study: Mavelbine (N) + etoposide (E) + cisplatin (C) in non operable non small cell lung cancer (NSCLC). European Journal of Cancer. 29. S161–S161. 1 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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