Cagla Akay

50 total papers · 1.1k total citations
31 papers, 711 citations indexed

About

Cagla Akay is a scholar working on Virology, Molecular Biology and Immunology. According to data from OpenAlex, Cagla Akay has authored 31 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Virology, 12 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Cagla Akay's work include HIV Research and Treatment (14 papers), Retinoids in leukemia and cellular processes (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Cagla Akay is often cited by papers focused on HIV Research and Treatment (14 papers), Retinoids in leukemia and cellular processes (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Cagla Akay collaborates with scholars based in United States and Myanmar. Cagla Akay's co-authors include Yair Gazitt, Kelly L. Jordan‐Sciutto, Kathryn A. Lindl, Patrick J. Gannon, Michael G. White, Dennis L. Kolson, Yanfeng Wang, Charles R. Thomas, Gary Calandra and Karin Badel and has published in prestigious journals such as Journal of Neuroscience, Blood and Cancer Research.

In The Last Decade

Cagla Akay

28 papers receiving 703 citations

Author Peers

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

Author						Papers	Cites
Cagla Akay	289	231	110	101	100	31	711
Zhenyu Yan	321 1.1×	87 0.4×	84 0.8×	63 0.6×	27 0.3×	29	844
Wen Huang	320 1.1×	175 0.8×	240 2.2×	74 0.7×	11 0.1×	35	716
M Debray	214 0.7×	49 0.2×	170 1.5×	51 0.5×	27 0.3×	26	680
Jianping Yang	446 1.5×	42 0.2×	43 0.4×	171 1.7×	14 0.1×	32	902
Gwënaël Pottiez	501 1.7×	21 0.1×	148 1.3×	57 0.6×	17 0.2×	23	750
Maryse Thivierge	161 0.6×	41 0.2×	27 0.2×	341 3.4×	18 0.2×	23	752
Nathalie Moulian	181 0.6×	65 0.3×	12 0.1×	357 3.5×	24 0.2×	20	650
Xiaomei Liu	442 1.5×	30 0.1×	153 1.4×	161 1.6×	9 0.1×	36	783
Marc Bigaud	358 1.2×	38 0.2×	104 0.9×	229 2.3×	19 0.2×	29	812
Uwe Janßen	325 1.1×	24 0.1×	39 0.4×	151 1.5×	36 0.4×	21	635

Countries citing papers authored by Cagla Akay

Since Specialization

Citations

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

Fields of papers citing papers by Cagla Akay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cagla Akay

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