Mahmut Parlak

15 total papers · 1.2k total citations
12 papers, 793 citations indexed

About

Mahmut Parlak is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Mahmut Parlak has authored 12 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Physiology. Recurrent topics in Mahmut Parlak's work include CRISPR and Genetic Engineering (4 papers), Enzyme Production and Characterization (2 papers) and RNA and protein synthesis mechanisms (2 papers). Mahmut Parlak is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Enzyme Production and Characterization (2 papers) and RNA and protein synthesis mechanisms (2 papers). Mahmut Parlak collaborates with scholars based in United States, Türkiye and China. Mahmut Parlak's co-authors include Mazhar Adli, Cem Kuscu, Karol Szlachta, Xiaolong Wei, Turan Tufan, Jiekun Yang, Rashad Mammadov, Mustafa Mir, Peiwu Qin and Jigar N. Bandaria and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mahmut Parlak

12 papers receiving 783 citations

Author Peers

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

Author						Papers	Cites
Mahmut Parlak	629	151	120	103	73	12	793
Kevin Holden	571 0.9×	64 0.4×	130 1.1×	126 1.2×	72 1.0×	8	860
Alyna Katti	660 1.0×	174 1.2×	182 1.5×	68 0.7×	32 0.4×	8	881
In-Young Jung	594 0.9×	281 1.9×	172 1.4×	130 1.3×	48 0.7×	12	786
Qinghua Zhang	529 0.8×	63 0.4×	73 0.6×	82 0.8×	189 2.6×	17	800
Klara Höning	518 0.8×	54 0.4×	112 0.9×	351 3.4×	57 0.8×	10	826
Perrine Pennamen	490 0.8×	41 0.3×	136 1.1×	31 0.3×	42 0.6×	15	626
Shuren Liao	798 1.3×	100 0.7×	241 2.0×	74 0.7×	31 0.4×	21	882
Olivia Chen	591 0.9×	129 0.9×	87 0.7×	73 0.7×	24 0.3×	12	832
Elliot O. Eton	646 1.0×	56 0.4×	187 1.6×	21 0.2×	85 1.2×	6	705
Quanquan Ji	525 0.8×	60 0.4×	40 0.3×	50 0.5×	127 1.7×	17	674

Countries citing papers authored by Mahmut Parlak

Since Specialization

Citations

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

Fields of papers citing papers by Mahmut Parlak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Parlak

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