Ivars Silamiķelis

686 total citations
27 papers, 446 citations indexed

About

Ivars Silamiķelis is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Ivars Silamiķelis has authored 27 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Genetics. Recurrent topics in Ivars Silamiķelis's work include Gut microbiota and health (11 papers), Metabolism, Diabetes, and Cancer (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Ivars Silamiķelis is often cited by papers focused on Gut microbiota and health (11 papers), Metabolism, Diabetes, and Cancer (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Ivars Silamiķelis collaborates with scholars based in Latvia, Sweden and Denmark. Ivars Silamiķelis's co-authors include Jānis Kloviņš, Ilze Elbere, Ineta Kalniņa, Dāvids Frīdmanis, Valdis Pīrāgs, Ilze Radoviča-Spalviņa, Ilze Konrāde, Dita Gudrā, Monta Ustinova and Linda Zaharenko and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

Ivars Silamiķelis

26 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivars Silamiķelis Latvia 11 282 120 86 71 62 27 446
Adam M. Hammer United States 11 232 0.8× 63 0.5× 41 0.5× 64 0.9× 66 1.1× 18 588
Ieva Strēle Latvia 11 202 0.7× 154 1.3× 32 0.4× 96 1.4× 32 0.5× 22 497
Vasanth Jayaraman United States 12 100 0.4× 52 0.4× 66 0.8× 59 0.8× 31 0.5× 34 386
Hari Krishnan Krishnamurthy United States 12 100 0.4× 52 0.4× 65 0.8× 59 0.8× 31 0.5× 33 383
Sarah A. Pötgens Belgium 8 315 1.1× 227 1.9× 52 0.6× 65 0.9× 33 0.5× 11 457
Aiten Ismailova Canada 6 83 0.3× 50 0.4× 98 1.1× 34 0.5× 36 0.6× 9 548
Florian Tran Germany 9 369 1.3× 59 0.5× 116 1.3× 21 0.3× 72 1.2× 28 613
Bibin Yesodha Subramanian Switzerland 6 202 0.7× 117 1.0× 27 0.3× 58 0.8× 44 0.7× 7 498
Abigail R. Cannon United States 12 268 1.0× 59 0.5× 46 0.5× 7 0.1× 70 1.1× 26 561
Gaëlle Payros France 5 301 1.1× 105 0.9× 56 0.7× 110 1.5× 95 1.5× 7 453

Countries citing papers authored by Ivars Silamiķelis

Since Specialization
Citations

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

Fields of papers citing papers by Ivars Silamiķelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivars Silamiķelis

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

All Works

20 of 20 papers shown
1.
Silamiķelis, Ivars, et al.. (2025). Dual-approach analysis of gut microbiome in patients with type 1 diabetes and diabetic kidney disease. Annals of Medicine. 57(1). 2531254–2531254.
2.
Pečulis, Raitis, et al.. (2024). Evaluating the Efficacy of Type 2 Diabetes Polygenic Risk Scores in an Independent European Population. International Journal of Molecular Sciences. 25(2). 1151–1151. 1 indexed citations
3.
Elbere, Ilze, Zigmunds Orlovskis, Ivars Silamiķelis, et al.. (2024). Gut microbiome encoded purine and amino acid pathways present prospective biomarkers for predicting metformin therapy efficacy in newly diagnosed T2D patients. Gut Microbes. 16(1). 2361491–2361491. 8 indexed citations
4.
Silamiķelis, Ivars, et al.. (2024). Gut Microbiome Composition and Dynamics in Hospitalized COVID-19 Patients and Patients with Post-Acute COVID-19 Syndrome. International Journal of Molecular Sciences. 25(1). 567–567. 10 indexed citations
5.
Reščenko, Raimonds, Vita Rovīte, Raitis Pečulis, et al.. (2023). Whole-Genome Sequencing of 502 Individuals from Latvia: The First Step towards a Population-Specific Reference of Genetic Variation. International Journal of Molecular Sciences. 24(20). 15345–15345. 2 indexed citations
6.
Kalniņa, Ineta, et al.. (2023). Variations in the Relative Abundance of Gut Bacteria Correlate with Lipid Profiles in Healthy Adults. Microorganisms. 11(11). 2656–2656. 7 indexed citations
7.
Kalniņa, Ineta, et al.. (2023). Metformin targets intestinal immune system signaling pathways in a high-fat diet-induced mouse model of obesity and insulin resistance. Frontiers in Endocrinology. 14. 1232143–1232143. 7 indexed citations
8.
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
9.
Silamiķelis, Ivars, Raitis Pečulis, Ilona Mandrika, et al.. (2021). Medication for Acromegaly Reduces Expression of MUC16, MACC1 and GRHL2 in Pituitary Neuroendocrine Tumour Tissue. Frontiers in Oncology. 10. 593760–593760. 6 indexed citations
10.
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
11.
Pečulis, Raitis, Inga Balcere, Ilze Radoviča-Spalviņa, et al.. (2020). Case report: recurrent pituitary adenoma has increased load of somatic variants. BMC Endocrine Disorders. 20(1). 17–17. 2 indexed citations
12.
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
13.
Silamiķelis, Ivars, Elīna Dimiņa, Māra Saule, et al.. (2019). Control of Acinetobacter baumannii outbreak in the neonatal intensive care unit in Latvia: whole-genome sequencing powered investigation and closure of the ward. Antimicrobial Resistance and Infection Control. 8(1). 84–84. 32 indexed citations
14.
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
15.
Elbere, Ilze, Ineta Kalniņa, Ivars Silamiķelis, et al.. (2018). Association of metformin administration with gut microbiome dysbiosis in healthy volunteers. PLoS ONE. 13(9). e0204317–e0204317. 97 indexed citations
16.
Gudrā, Dita, Dāvids Frīdmanis, Jānis Kloviņš, et al.. (2017). FIT test-systems for mega-scale gut microbiome testing. Annals of Oncology. 28. iii22–iii22. 1 indexed citations
17.
Sundaram, Arvind Y. M., Tove Lekva, Ivars Silamiķelis, et al.. (2017). Gene expression profiling of fast- and slow-growing non-functioning gonadotroph pituitary adenomas. European Journal of Endocrinology. 178(3). 295–307. 24 indexed citations
18.
Kalviša, Adrija, Constantinos Tsirogiannis, Ivars Silamiķelis, et al.. (2016). MIRU-VNTR genotype diversity and indications of homoplasy in M. avium strains isolated from humans and slaughter pigs in Latvia. Infection Genetics and Evolution. 43. 15–21. 3 indexed citations
19.
Radoviča-Spalviņa, Ilze, Gustavs Latkovskis, Ivars Silamiķelis, et al.. (2015). Next-generation-sequencing-based identification of familial hypercholesterolemia-related mutations in subjects with increased LDL–C levels in a latvian population. BMC Medical Genetics. 16(1). 86–86. 17 indexed citations
20.
Frīdmanis, Dāvids, et al.. (2014). Association between CETP, MLXIPL, and TOMM40 polymorphisms and serum lipid levels in a Latvian population. Meta Gene. 2. 565–578. 12 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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