Emmanuel Dialynas

1.4k total citations · 1 hit paper
14 papers, 671 citations indexed

About

Emmanuel Dialynas is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Emmanuel Dialynas has authored 14 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Emmanuel Dialynas's work include Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (5 papers) and Insect symbiosis and bacterial influences (3 papers). Emmanuel Dialynas is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (5 papers) and Insect symbiosis and bacterial influences (3 papers). Emmanuel Dialynas collaborates with scholars based in Greece, United Kingdom and Italy. Emmanuel Dialynas's co-authors include Pantelis Topalis, Daniel Lawson, Scott Emrich, Robert M. MacCallum, Frank H. Collins, Nicholas Ho, Gregory R. Madey, Gloria I. Giraldo-Calderón, G. Maslen and Sandra Gesing and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and BMC Genomics.

In The Last Decade

Emmanuel Dialynas

13 papers receiving 664 citations

Hit Papers

VectorBase: an updated bioinformatics resource for invert... 2014 2026 2018 2022 2014 100 200 300 400
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.

  1. VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases
    2014 412 citations Gloria I. Giraldo-Calderón, Scott Emrich et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Dialynas Greece 9 398 268 248 141 86 14 671
Pantelis Topalis Greece 14 605 1.5× 299 1.1× 283 1.1× 210 1.5× 122 1.4× 30 977
Gloria I. Giraldo-Calderón United States 8 277 0.7× 341 1.3× 274 1.1× 125 0.9× 83 1.0× 11 667
Emmanuel Mongin United Kingdom 9 529 1.3× 258 1.0× 230 0.9× 276 2.0× 141 1.6× 10 897
Seth Redmond United States 15 550 1.4× 655 2.4× 239 1.0× 177 1.3× 171 2.0× 18 1.2k
José Henrique M. Oliveira Brazil 16 152 0.4× 496 1.9× 462 1.9× 306 2.2× 59 0.7× 21 915
Catherine K. Foo United States 7 734 1.8× 145 0.5× 227 0.9× 213 1.5× 463 5.4× 8 1.3k
Chunfeng Li China 15 254 0.6× 41 0.2× 386 1.6× 183 1.3× 47 0.5× 46 689
Vitali Proutski United Kingdom 8 128 0.3× 273 1.0× 92 0.4× 19 0.1× 32 0.4× 14 463
Jose E. Pietri United States 15 111 0.3× 182 0.7× 473 1.9× 153 1.1× 117 1.4× 48 789
Ann T. Tate United States 13 91 0.2× 157 0.6× 231 0.9× 245 1.7× 132 1.5× 30 552

Countries citing papers authored by Emmanuel Dialynas

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Dialynas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Dialynas

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

All Works

14 of 14 papers shown
1.
Damianaki, Athina, Matthieu D. Lavigne, Emmanuel Dialynas, et al.. (2024). Characterization of myeloid‐derived suppressor cells in the peripheral blood and bone marrow of patients with chronic idiopathic neutropenia. HemaSphere. 8(9). e70005–e70005.
2.
Dialynas, Emmanuel, Vassiliki Theodorou, Yan Zhou, et al.. (2021). Erf Affects Commitment and Differentiation of Osteoprogenitor Cells in Cranial Sutures via the Retinoic Acid Pathway. Molecular and Cellular Biology. 41(8). e0014921–e0014921. 7 indexed citations
3.
Mitraka, Elvira, Pantelis Topalis, Vicky Dritsou, Emmanuel Dialynas, & Christos Louis. (2015). Describing the Breakbone Fever: IDODEN, an Ontology for Dengue Fever. PLoS neglected tropical diseases. 9(2). e0003479–e0003479. 13 indexed citations
4.
Dritsou, Vicky, Elena Deligianni, Emmanuel Dialynas, et al.. (2014). Non-coding RNA gene families in the genomes of anopheline mosquitoes. BMC Genomics. 15(1). 1038–1038. 8 indexed citations
5.
Dritsou, Vicky, Pantelis Topalis, Elvira Mitraka, Emmanuel Dialynas, & Christos Louis. (2014). miRNAO: An Ontology Unfolding the Domain of microRNAs.. 989–1000. 1 indexed citations
6.
Giraldo-Calderón, Gloria I., Scott Emrich, Robert M. MacCallum, et al.. (2014). VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases. Nucleic Acids Research. 43(D1). D707–D713. 412 indexed citations breakdown →
7.
Topalis, Pantelis, Elvira Mitraka, Vicky Dritsou, Emmanuel Dialynas, & Christos Louis. (2013). IDOMAL: the malaria ontology revisited. Journal of Biomedical Semantics. 4(1). 16–16. 15 indexed citations
8.
Mitraka, Elvira, Pantelis Topalis, Emmanuel Dialynas, Vicky Dritsou, & Christos Louis. (2012). IDODEN: An Ontology for Dengue.. 3 indexed citations
9.
Mégy, Karyn, Scott Emrich, Daniel Lawson, et al.. (2011). VectorBase: improvements to a bioinformatics resource for invertebrate vector genomics. Nucleic Acids Research. 40(D1). D729–D734. 120 indexed citations
10.
Topalis, Pantelis, Elvira Mitraka, Elena Deligianni, et al.. (2010). IDOMAL: an ontology for malaria. Malaria Journal. 9(1). 230–230. 26 indexed citations
11.
Topalis, Pantelis, Emmanuel Dialynas, Elvira Mitraka, et al.. (2010). A set of ontologies to drive tools for the control of vector-borne diseases. Journal of Biomedical Informatics. 44(1). 42–47. 19 indexed citations
12.
Dialynas, Emmanuel, Pantelis Topalis, John Vontas, & Christos Louis. (2009). MIRO and IRbase: IT Tools for the Epidemiological Monitoring of Insecticide Resistance in Mosquito Disease Vectors. PLoS neglected tropical diseases. 3(6). e465–e465. 26 indexed citations
13.
Topalis, Pantelis, Emmanuel Dialynas, Daniel E. Sonenshine, et al.. (2008). Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase. Insect Molecular Biology. 17(1). 87–89. 15 indexed citations
14.
Topalis, Pantelis, Anastasios C. Koutsos, Emmanuel Dialynas, et al.. (2005). SHORT NOTE: AnoBase: a genetic and biological database of anophelines. Insect Molecular Biology. 14(6). 591–597. 6 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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