Panagiotis Moulos

2.2k total citations
50 papers, 1.4k citations indexed

About

Panagiotis Moulos is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Panagiotis Moulos has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Panagiotis Moulos's work include Gene expression and cancer classification (8 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (6 papers). Panagiotis Moulos is often cited by papers focused on Gene expression and cancer classification (8 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (6 papers). Panagiotis Moulos collaborates with scholars based in Greece, France and United Kingdom. Panagiotis Moulos's co-authors include Pantelis Hatzis, Hendrik G. Stunnenberg, Kees‐Jan Françoijs, Iannis Talianidis, Rasmus Siersbæk, Thomas Åskov Pedersen, Susanne Mandrup, Ronni Nielsen, Sergei Denissov and Michael Børgesen and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and The EMBO Journal.

In The Last Decade

Panagiotis Moulos

45 papers receiving 1.4k citations

Peers

Panagiotis Moulos
Sean Eddy United States
Tomohide Takaya Japan
Yuhong Luo China
Elke Burgermeister Germany
Yasuhiro Yamazaki Japan
Michiel Adriaens Netherlands
Chang‐Yan Li China
Ting Cao China
Bradley S. Ferguson United States
Mengwei Li China
Sean Eddy United States
Panagiotis Moulos
Citations per year, relative to Panagiotis Moulos Panagiotis Moulos (= 1×) peers Sean Eddy

Countries citing papers authored by Panagiotis Moulos

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Moulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Moulos

This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Moulos. A scholar is included among the top collaborators of Panagiotis Moulos 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 Panagiotis Moulos. Panagiotis Moulos 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
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Kalafati, Ioanna Panagiota, Georgia Kourlaba, Panagiotis Moulos, et al.. (2024). A Dietary Intervention in Adults with Overweight or Obesity Leads to Weight Loss Irrespective of Macronutrient Composition. Nutrients. 16(17). 2842–2842. 2 indexed citations
3.
Zervoú, María, Panagiotis Moulos, Georgios Koutrotsios, et al.. (2023). In Vitro Fermentation of Pleurotus eryngii Mushrooms by Human Fecal Microbiota: Metataxonomic Analysis and Metabolomic Profiling of Fermentation Products. Journal of Fungi. 9(1). 128–128. 9 indexed citations
4.
Kalafati, Ioanna Panagiota, Maria Dimitriou, Alexandros Kokkinos, et al.. (2023). Robust Bioinformatics Approaches Result in the First Polygenic Risk Score for BMI in Greek Adults. Journal of Personalized Medicine. 13(2). 327–327. 3 indexed citations
5.
Izquierdo-Lara, Ray, Shringar Rao, Tsung Wai Kan, et al.. (2022). Catchet-MS identifies IKZF1-targeting thalidomide analogues as novel HIV-1 latency reversal agents. Nucleic Acids Research. 50(10). 5577–5598. 8 indexed citations
6.
Pavlopoulos, Georgios A., et al.. (2022). Protocol for unbiased, consolidated variant calling from whole exome sequencing data. STAR Protocols. 3(2). 101418–101418. 2 indexed citations
7.
Nikitopoulou, Ioanna, Panagiotis Moulos, Maria Evangelidou, et al.. (2021). Increased Autotaxin Levels in Severe COVID-19, Correlating with IL-6 Levels, Endothelial Dysfunction Biomarkers, and Impaired Functions of Dendritic Cells. International Journal of Molecular Sciences. 22(18). 10006–10006. 19 indexed citations
8.
Sisakht, Mahsa Mollapour, Panagiotis Moulos, Elisa De Crignis, et al.. (2021). A Two-Color Haploid Genetic Screen Identifies Novel Host Factors Involved in HIV-1 Latency. mBio. 12(6). e0298021–e0298021. 9 indexed citations
9.
Dimopoulos, Alexandros C., et al.. (2021). Combining Multiple RNA-Seq Data Analysis Algorithms Using Machine Learning Improves Differential Isoform Expression Analysis. Methods and Protocols. 4(4). 68–68. 3 indexed citations
10.
11.
Sfikakis, Petros P., Giannis Ampatziadis-Michailidis, Ourania Tsitsilonis, et al.. (2021). Blood Transcriptomes of Anti-SARS-CoV-2 Antibody-Positive Healthy Individuals Who Experienced Asymptomatic Versus Clinical Infection. Frontiers in Immunology. 12. 10 indexed citations
12.
Grammenoudi, Sofia, Panagiotis Moulos, Alexander L. Dent, et al.. (2020). The transcription factor BCL-6 controls early development of innate-like T cells. Nature Immunology. 21(9). 1058–1069. 20 indexed citations
13.
Moulos, Panagiotis, et al.. (2018). Refining a steroidogenic model: an analysis of RNA-seq datasets from insect prothoracic glands. BMC Genomics. 19(1). 537–537. 9 indexed citations
14.
Moulos, Panagiotis, et al.. (2016). Reassessing ecdysteroidogenic cells from the cell membrane receptors’perspective. Scientific Reports. 6(1). 20229–20229. 12 indexed citations
15.
Giakountis, Antonis, Panagiotis Moulos, Michalis E. Sarris, Pantelis Hatzis, & Iannis Talianidis. (2016). Smyd3-associated regulatory pathways in cancer. Seminars in Cancer Biology. 42. 70–80. 55 indexed citations
16.
Moulos, Panagiotis, George Chalepakis, Pantelis Hatzis, et al.. (2014). Spontaneous development of hepatocellular carcinoma with cancer stem cell properties in PR ‐ SET 7‐deficient livers. The EMBO Journal. 34(4). 430–447. 37 indexed citations
17.
Rao, Nagesha, Panagiotis Moulos, Kees‐Jan Françoijs, et al.. (2011). Coactivation of GR and NFKB alters the repertoire of their binding sites and target genes. Genome Research. 21(9). 1404–1416. 167 indexed citations
18.
Moulos, Panagiotis, Ioannis Valavanis, Julie Klein, et al.. (2011). Unifying the integration, analysis and interpretation of multi-omic datasets: Exploration of the disease networks of Obstructive Nephropathy in children. PubMed. 2011. 3716–3719. 2 indexed citations
19.
Chatziioannou, Aristotelis, et al.. (2010). GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies. IEEE Transactions on Information Technology in Biomedicine. 15(1). 83–92. 2 indexed citations
20.
Moulos, Panagiotis, Olga Papadodima, Aristotelis Chatziioannou, et al.. (2009). A transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas reveals molecular mechanisms targeting tumor cell growth and survival. BMC Medical Genomics. 2(1). 68–68. 27 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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