Adil Supiyev

31 total papers · 1.3k total citations
13 papers, 138 citations indexed

About

Adil Supiyev is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Adil Supiyev has authored 13 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Food Science. Recurrent topics in Adil Supiyev's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Probiotics and Fermented Foods (2 papers) and Oral microbiology and periodontitis research (2 papers). Adil Supiyev is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Probiotics and Fermented Foods (2 papers) and Oral microbiology and periodontitis research (2 papers). Adil Supiyev collaborates with scholars based in Kazakhstan, United Kingdom and United States. Adil Supiyev's co-authors include Talgat Nurgozhın, Zhaxybay Zhumadilov, Martin Bobák, Anne Peasey, Jaroslav A. Hubáček, Almaz Sharman, Věra Adámková, Abdonas Tamošiūnas, Vaiva Lesauskaitė and Jan Piťha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurobiology of Aging and BMC Public Health.

In The Last Decade

Adil Supiyev

13 papers receiving 137 citations

Author Peers

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

Author						Papers	Cites
Adil Supiyev	50	37	30	23	19	13	138
Guiyuan Han	35 0.7×	64 1.7×	57 1.9×	39 1.7×	16 0.8×	11	226
Cristina Maldonado‐Araque	65 1.3×	26 0.7×	26 0.9×	30 1.3×	20 1.1×	10	139
Carla Yunis	32 0.6×	51 1.4×	52 1.7×	22 1.0×	13 0.7×	12	197
Raúl Ramírez-Reyes	55 1.1×	26 0.7×	40 1.3×	20 0.9×	16 0.8×	15	136
Maria Calabrese	32 0.6×	21 0.6×	41 1.4×	24 1.0×	20 1.1×	10	111
Chau Ho	37 0.7×	20 0.5×	12 0.4×	20 0.9×	11 0.6×	15	143
Aria Dianatinasab	35 0.7×	22 0.6×	32 1.1×	26 1.1×	17 0.9×	9	260
Lynne Wagenknecht	18 0.4×	66 1.8×	24 0.8×	63 2.7×	11 0.6×	13	226
Ruying Hu	20 0.4×	34 0.9×	22 0.7×	44 1.9×	22 1.2×	22	218
Kaixu Xie	74 1.5×	27 0.7×	48 1.6×	43 1.9×	33 1.7×	15	250

Countries citing papers authored by Adil Supiyev

Since Specialization

Citations

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

Fields of papers citing papers by Adil Supiyev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adil Supiyev

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