Christina Chatzi

41 total papers · 1.0k total citations
20 papers, 762 citations indexed

About

Christina Chatzi is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christina Chatzi has authored 20 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Developmental Neuroscience and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christina Chatzi's work include Neurogenesis and neuroplasticity mechanisms (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Retinal Development and Disorders (3 papers). Christina Chatzi is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Retinal Development and Disorders (3 papers). Christina Chatzi collaborates with scholars based in United States, United Kingdom and Greece. Christina Chatzi's co-authors include Gregg Duester, Thomas Brade, Thomas J. Cunningham, Sandeep Kumar, Xianling Zhao, Gary L. Westbrook, Sanbing Shen, Colin McCaig, Bing Lang and Jin Pu and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Development.

In The Last Decade

Christina Chatzi

19 papers receiving 757 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christina Chatzi	535	218	187	138	66	20	762
C. Oscar Pintado	328 0.6×	321 1.5×	159 0.9×	107 0.8×	60 0.9×	12	885
Yuanpei Xin	223 0.4×	307 1.4×	161 0.9×	75 0.5×	82 1.2×	27	910
Sylvie Boisseau	428 0.8×	329 1.5×	101 0.5×	98 0.7×	24 0.4×	29	851
Valerie Y. Hayes	267 0.5×	212 1.0×	179 1.0×	98 0.7×	23 0.3×	15	872
Atiqul Islam	254 0.5×	174 0.8×	101 0.5×	83 0.6×	42 0.6×	40	699
María Julia Cambiasso	243 0.5×	150 0.7×	418 2.2×	71 0.5×	50 0.8×	34	866
Michael W. Nestor	568 1.1×	287 1.3×	126 0.7×	122 0.9×	129 2.0×	31	839
Cynthia Vied	346 0.6×	115 0.5×	87 0.5×	80 0.6×	33 0.5×	31	635
Miriam Fernández	310 0.6×	225 1.0×	63 0.3×	65 0.5×	58 0.9×	29	720
Vikas Kumar	418 0.8×	269 1.2×	127 0.7×	98 0.7×	41 0.6×	21	727

Countries citing papers authored by Christina Chatzi

Since Specialization

Citations

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

Fields of papers citing papers by Christina Chatzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Chatzi

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

All Works

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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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