Chrysanthi Samara

21 total papers · 1.9k total citations
10 papers, 490 citations indexed

About

Chrysanthi Samara is a scholar working on Aging, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Chrysanthi Samara has authored 10 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aging, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Chrysanthi Samara's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), 3D Printing in Biomedical Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Chrysanthi Samara is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), 3D Printing in Biomedical Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Chrysanthi Samara collaborates with scholars based in Greece, United States and Switzerland. Chrysanthi Samara's co-authors include Nektarios Tavernarakis, Popi Syntichaki, Marta Artal‐Sanz, Mehmet Fatih Yanik, Stephanie Norton, Christopher B. Rohde, Stephen J. Haggarty, Olivier Poirot, Roman Chrast and Laure Vallotton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Current Biology.

In The Last Decade

Chrysanthi Samara

10 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Chrysanthi Samara	223	177	149	99	79	10	490
Sasha De Henau	271 1.2×	152 0.9×	92 0.6×	103 1.0×	27 0.3×	16	442
Phillip A. Frankino	257 1.2×	161 0.9×	60 0.4×	153 1.5×	22 0.3×	13	483
Mário F. Neto	281 1.3×	131 0.7×	33 0.2×	82 0.8×	89 1.1×	12	490
Cathy Vitelli	348 1.6×	109 0.6×	39 0.3×	39 0.4×	93 1.2×	8	532
Karla J. Opperman	239 1.1×	182 1.0×	28 0.2×	91 0.9×	113 1.4×	20	404
Berrak Uğur	298 1.3×	67 0.4×	35 0.2×	116 1.2×	150 1.9×	10	539
Thomas Heimbucher	336 1.5×	187 1.1×	42 0.3×	61 0.6×	23 0.3×	15	509
Catarina Mörck	164 0.7×	277 1.6×	43 0.3×	47 0.5×	52 0.7×	13	421
Julia Kaye	365 1.6×	79 0.4×	20 0.1×	56 0.6×	128 1.6×	13	502
David Li‐Kroeger	290 1.3×	32 0.2×	58 0.4×	70 0.7×	124 1.6×	17	480

Countries citing papers authored by Chrysanthi Samara

Since Specialization

Citations

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

Fields of papers citing papers by Chrysanthi Samara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chrysanthi Samara

This figure shows the co-authorship network connecting the top 25 collaborators of Chrysanthi Samara. A scholar is included among the top collaborators of Chrysanthi Samara 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 Chrysanthi Samara. Chrysanthi Samara 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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