Monta Ustinova

1.4k total citations
8 papers, 206 citations indexed

About

Monta Ustinova is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Monta Ustinova has authored 8 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Monta Ustinova's work include Metabolism, Diabetes, and Cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Gut microbiota and health (2 papers). Monta Ustinova is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Gut microbiota and health (2 papers). Monta Ustinova collaborates with scholars based in Latvia, Sweden and Spain. Monta Ustinova's co-authors include Jānis Kloviņš, Ilze Elbere, Ivars Silamiķelis, Ineta Kalniņa, Ilze Konrāde, Valdis Pīrāgs, Vita Rovīte, Zane Kalniņa, Jeļizaveta Sokolovska and Ramona Petrovska and has published in prestigious journals such as PLoS ONE, Science Translational Medicine and Frontiers in Endocrinology.

In The Last Decade

Monta Ustinova

8 papers receiving 205 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Monta Ustinova Latvia	7	161	67	41	39	26	8	206
Elius Paz‐Cruz Ecuador	10	90 0.6×	71 1.1×	47 1.1×	25 0.6×	26 1.0×	35	252
Tuanyu Fang China	8	193 1.2×	62 0.9×	62 1.5×	39 1.0×	36 1.4×	22	347
Ilze Elbere Latvia	10	277 1.7×	123 1.8×	57 1.4×	66 1.7×	43 1.7×	20	355
Linda Zaharenko Latvia	10	236 1.5×	100 1.5×	72 1.8×	54 1.4×	62 2.4×	13	342
Xianlun Yin China	5	218 1.4×	114 1.7×	32 0.8×	13 0.3×	33 1.3×	8	318
Sarah Kang United States	4	195 1.2×	31 0.5×	23 0.6×	33 0.8×	15 0.6×	5	309
Jan Rasmussen Denmark	12	193 1.2×	64 1.0×	12 0.3×	10 0.3×	24 0.9×	19	294
Yufang Bi China	5	69 0.4×	37 0.6×	25 0.6×	21 0.5×	13 0.5×	13	150
Maxime Branchereau France	7	117 0.7×	45 0.7×	23 0.6×	26 0.7×	5 0.2×	8	171
Wen‐jie Chen China	8	152 0.9×	47 0.7×	11 0.3×	31 0.8×	13 0.5×	14	271

Countries citing papers authored by Monta Ustinova

Since Specialization

Citations

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

Fields of papers citing papers by Monta Ustinova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monta Ustinova

This figure shows the co-authorship network connecting the top 25 collaborators of Monta Ustinova. A scholar is included among the top collaborators of Monta Ustinova 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 Monta Ustinova. Monta Ustinova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Ustinova, Monta, Raitis Pečulis, Raimonds Reščenko, et al.. (2021). Novel susceptibility loci identified in a genome-wide association study of type 2 diabetes complications in population of Latvia. BMC Medical Genomics. 14(1). 18–18. 18 indexed citations

2.

Silamiķelis, Ivars, Monta Ustinova, Zane Kalniņa, et al.. (2021). Metformin Strongly Affects Gut Microbiome Composition in High-Fat Diet-Induced Type 2 Diabetes Mouse Model of Both Sexes. Frontiers in Endocrinology. 12. 626359–626359. 47 indexed citations

3.

García-Calzón, Sonia, Alexander Perfilyev, Mats Martinell, et al.. (2020). Epigenetic markers associated with metformin response and intolerance in drug-naïve patients with type 2 diabetes. Science Translational Medicine. 12(561). 42 indexed citations

4.

Elbere, Ilze, Ivars Silamiķelis, Ineta Kalniņa, et al.. (2020). Baseline gut microbiome composition predicts metformin therapy short-term efficacy in newly diagnosed type 2 diabetes patients. PLoS ONE. 15(10). e0241338–e0241338. 37 indexed citations

5.

Ustinova, Monta, Ivars Silamiķelis, Vita Rovīte, et al.. (2020). Whole-blood transcriptome profiling reveals signatures of metformin and its therapeutic response. PLoS ONE. 15(8). e0237400–e0237400. 14 indexed citations

6.

Ustinova, Monta, Ivars Silamiķelis, Māris Krievāns, et al.. (2020). Bacterial and archaeal community structure in benthic sediments from glacial lakes at the Múlajökull Glacier, central Iceland. Polar Biology. 43(12). 2085–2099. 2 indexed citations

7.

Ustinova, Monta, Ivars Silamiķelis, Ineta Kalniņa, et al.. (2019). Metformin strongly affects transcriptome of peripheral blood cells in healthy individuals. PLoS ONE. 14(11). e0224835–e0224835. 20 indexed citations

8.

Elbere, Ilze, Ivars Silamiķelis, Monta Ustinova, et al.. (2018). Significantly altered peripheral blood cell DNA methylation profile as a result of immediate effect of metformin use in healthy individuals. Clinical Epigenetics. 10(1). 156–156. 26 indexed citations

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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