Chrysanthi Ainali

44 total papers · 2.7k total citations
10 papers, 160 citations indexed

About

Chrysanthi Ainali is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Chrysanthi Ainali has authored 10 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Chrysanthi Ainali's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Computational Drug Discovery Methods (2 papers). Chrysanthi Ainali is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Computational Drug Discovery Methods (2 papers). Chrysanthi Ainali collaborates with scholars based in United Kingdom, United States and Greece. Chrysanthi Ainali's co-authors include Sophia Tsoka, Frank O. Nestlé, Gayathri Perera, Andrew E. Williams, Christos Ouzounis, Jóhann E. Guðjónsson, Najl V. Valeyev, Lazaros G. Papageorgiou, Lingjian Yang and Wenjun Ouyang and has published in prestigious journals such as Science Translational Medicine, BMC Bioinformatics and BMC Genomics.

In The Last Decade

Chrysanthi Ainali

10 papers receiving 157 citations

Author Peers

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

Author						Papers	Cites
Chrysanthi Ainali	73	57	42	35	22	10	160
Gerard Hernández-Mir	130 1.8×	94 1.6×	12 0.3×	40 1.1×	17 0.8×	13	268
Caihong Zhu	121 1.7×	49 0.9×	39 0.9×	26 0.7×	70 3.2×	10	182
Kevin Lau	19 0.3×	189 3.3×	27 0.6×	30 0.9×	16 0.7×	11	249
Truong San Phan	86 1.2×	71 1.2×	27 0.6×	57 1.6×	12 0.5×	12	226
Dana J. Fraser	20 0.3×	54 0.9×	26 0.6×	31 0.9×	15 0.7×	8	194
Deimantė Šimaitė	33 0.5×	114 2.0×	62 1.5×	15 0.4×	9 0.4×	8	232
Sandy Eldridge	16 0.2×	80 1.4×	14 0.3×	92 2.6×	13 0.6×	13	255
Nathalia Gazaniga	52 0.7×	75 1.3×	7 0.2×	29 0.8×	7 0.3×	9	179
Xiangling Xiao	37 0.5×	149 2.6×	12 0.3×	77 2.2×	11 0.5×	10	252
Giovanni Gambi	41 0.6×	129 2.3×	6 0.1×	48 1.4×	23 1.0×	8	175

Countries citing papers authored by Chrysanthi Ainali

Since Specialization

Citations

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

Fields of papers citing papers by Chrysanthi Ainali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chrysanthi Ainali

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