Serik Meirmanov

66 total papers · 781 total citations
36 papers, 572 citations indexed

About

Serik Meirmanov is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Serik Meirmanov has authored 36 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Serik Meirmanov's work include Cancer-related Molecular Pathways (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Healthcare professionals’ stress and burnout (6 papers). Serik Meirmanov is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Healthcare professionals’ stress and burnout (6 papers). Serik Meirmanov collaborates with scholars based in Japan, Kazakhstan and Russia. Serik Meirmanov's co-authors include Shunichi Yamashita, Masahiro Nakashima, Vladimir Saenko, Hiroyuki Namba, Minh‐Hoang Nguyen, Ichiro Sekine, Abrosimov AIu, Tatiana Rogounovitch, Tomayoshi Hayashi and Tam-Tri Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and International Journal of Cancer.

In The Last Decade

Serik Meirmanov

30 papers receiving 558 citations

Author Peers

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

Author						Papers	Cites
Serik Meirmanov	227	206	188	62	59	36	572
Ermal Bojdani	219 1.0×	250 1.2×	153 0.8×	44 0.7×	78 1.3×	16	683
Talat Mushtaq	232 1.0×	215 1.0×	72 0.4×	26 0.4×	131 2.2×	36	649
Angelo Martignetti	109 0.5×	155 0.8×	297 1.6×	27 0.4×	26 0.4×	30	644
Theodora Kunovac Kallak	154 0.7×	60 0.3×	139 0.7×	19 0.3×	123 2.1×	40	675
Katherine Tucker	52 0.2×	127 0.6×	175 0.9×	37 0.6×	174 2.9×	31	609
Lakshmi Narayanan	158 0.7×	195 0.9×	106 0.6×	20 0.3×	35 0.6×	16	667
Helena Schöck	110 0.5×	85 0.4×	161 0.9×	12 0.2×	80 1.4×	22	660
Masaki Yamanaka	183 0.8×	227 1.1×	50 0.3×	13 0.2×	49 0.8×	40	651
Ning Xia	130 0.6×	122 0.6×	90 0.5×	37 0.6×	22 0.4×	31	583
Deborah J. Goldfrank	104 0.5×	45 0.2×	265 1.4×	43 0.7×	146 2.5×	28	515

Countries citing papers authored by Serik Meirmanov

Since Specialization

Citations

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

Fields of papers citing papers by Serik Meirmanov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serik Meirmanov

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