Anna N. Melidoni

2.9k total citations
10 papers, 177 citations indexed

About

Anna N. Melidoni is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Anna N. Melidoni has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Surgery. Recurrent topics in Anna N. Melidoni's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Anna N. Melidoni is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Anna N. Melidoni collaborates with scholars based in United Kingdom, Greece and United States. Anna N. Melidoni's co-authors include Michael R. Dyson, John McCafferty, Ronny Falk, Joyce L. Young, Anna Falk, Ian Phillips, Elizabeth A. Shephard, Diana Hernandez, Sam Wormald and Marine Dumousseau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Reviews Molecular Cell Biology.

In The Last Decade

Anna N. Melidoni

10 papers receiving 171 citations

Peers

Anna N. Melidoni

MB

RNMI

ONCOL

PHYSI

CB

Sandrine Ferrand Switzerland

Emi Mishiro‐Sato Japan

Xi Jiang China

Taylor L. Voelker United States

Ramy Malty Canada

Jonathan Martínez‐Fábregas Spain

David Kotol Sweden

Mengyun Xu China

Sabrina Schumacher Germany

Pedro Felipe Malacarne Germany

Sandrine Ferrand Switzerland

Anna N. Melidoni

163 ×1.1

MB

21 ×1.0

RNMI

39 ×1.9

ONCOL

14 ×0.7

PHYSI

11 ×0.9

CB

Citations per year, relative to Anna N. Melidoni Anna N. Melidoni (= 1×) peers Sandrine Ferrand

Countries citing papers authored by Anna N. Melidoni

Since Specialization

Citations

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

Fields of papers citing papers by Anna N. Melidoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna N. Melidoni. 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 Anna N. Melidoni. The network helps show where Anna N. Melidoni may publish in the future.

Co-authorship network of co-authors of Anna N. Melidoni

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

All Works

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10 of 10 papers shown

1.

Melidoni, Anna N., et al.. (2023). VE-CADHERIN is expressed transiently in early ISL1+ cardiovascular progenitor cells and facilitates cardiac differentiation. Stem Cell Reports. 18(9). 1827–1840. 1 indexed citations

2.

Melidoni, Anna N.. (2022). Machine learning identifies mitophagy inducers that ameliorate pathology in animal models of Alzheimer’s disease. Lab Animal. 51(3). 79–79. 1 indexed citations

3.

Melidoni, Anna N.. (2021). Towards a stem-cell therapy for diabetes. 1 indexed citations

4.

Melidoni, Anna N.. (2020). Small extracellular vesicles combat senescence. Nature Reviews Molecular Cell Biology. 21(9). 498–499. 3 indexed citations

5.

Melidoni, Anna N., Diana Hernandez, Bilal Omar, et al.. (2015). The phenotype of a knockout mouse identifies flavin-containing monooxygenase 5 (FMO5) as a regulator of metabolic ageing. Biochemical Pharmacology. 96(3). 267–277. 39 indexed citations

6.

Melidoni, Anna N., Michael R. Dyson, & John McCafferty. (2015). Selection of Antibodies Interfering with Cell Surface Receptor Signaling Using Embryonic Stem Cell Differentiation. Methods in molecular biology. 1341. 111–132. 4 indexed citations

7.

Meldal, Birgit, Maria C. Costanzo, Jose M Dana, et al.. (2014). The complex portal - an encyclopaedia of macromolecular complexes. Nucleic Acids Research. 43(D1). D479–D484. 59 indexed citations

8.

Melidoni, Anna N., Michael R. Dyson, Sam Wormald, & John McCafferty. (2013). Selecting antagonistic antibodies that control differentiation through inducible expression in embryonic stem cells. Proceedings of the National Academy of Sciences. 110(44). 17802–17807. 15 indexed citations

9.

Falk, Ronny, Anna Falk, Michael R. Dyson, et al.. (2012). Generation of anti-Notch antibodies and their application in blocking Notch signalling in neural stem cells. Methods. 58(1). 69–78. 50 indexed citations

10.

Hernandez, Diana, Anna N. Melidoni, Ian Phillips, & Elizabeth A. Shephard. (2006). Microinjection of Targeted Embryonic Stem Cells and Establishment of Knockout Mouse Lines for <i>Fmo</i> Genes. Humana Press eBooks. 320. 329–342. 4 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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