C. Papageorgiou

41 total papers · 475 total citations
22 papers, 330 citations indexed

About

C. Papageorgiou is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, C. Papageorgiou has authored 22 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in C. Papageorgiou's work include Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Genetic Neurodegenerative Diseases (3 papers). C. Papageorgiou is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (3 papers) and Genetic Neurodegenerative Diseases (3 papers). C. Papageorgiou collaborates with scholars based in Greece and United States. C. Papageorgiou's co-authors include E. Kapaki, Elisabeth Kapaki, Dimitrios Vassilopoulos, George P. Paraskevas, G. D. Kanias, Thomas Zambelis, Charilaos Lygidakis, Christos Yapijakis, Panagiota Manta and Maria Anagnostouli and has published in prestigious journals such as Cellular and Molecular Life Sciences, Journal of the Neurological Sciences and Journal of Medical Genetics.

In The Last Decade

C. Papageorgiou

20 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
C. Papageorgiou	116	102	81	67	58	22	330
Fabrizio Venturi	66 0.6×	50 0.5×	85 1.0×	23 0.3×	48 0.8×	22	320
S. Kobayashi	48 0.4×	87 0.9×	69 0.9×	54 0.8×	50 0.9×	17	288
Nai‐Shin Chu	86 0.7×	46 0.5×	50 0.6×	15 0.2×	57 1.0×	18	301
Salvadeeswaran Meenakshi‐Sundaram	52 0.4×	226 2.2×	36 0.4×	24 0.4×	150 2.6×	16	353
Xueshi Chen	49 0.4×	63 0.6×	119 1.5×	36 0.5×	27 0.5×	23	317
Sanjib Sinha	48 0.4×	195 1.9×	43 0.5×	18 0.3×	120 2.1×	24	330
Leslie C. Jellen	91 0.8×	31 0.3×	109 1.3×	52 0.8×	17 0.3×	16	358
Emma Solà	36 0.3×	42 0.4×	66 0.8×	21 0.3×	92 1.6×	30	308
Érika Chi-Ahumada	56 0.5×	28 0.3×	92 1.1×	80 1.2×	76 1.3×	22	309
Kwang-Ming Chen	189 1.6×	25 0.2×	51 0.6×	81 1.2×	18 0.3×	17	309

Countries citing papers authored by C. Papageorgiou

Since Specialization

Citations

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

Fields of papers citing papers by C. Papageorgiou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Papageorgiou

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