Ivars Silamiķelis
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Gut microbiota and health 10
- Metabolism, Diabetes, and Cancer 3
- Bioinformatics and Genomic Networks 2
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- Mycobacterium research and diagnosis 3
- Co-authors
- Jānis Kloviņš (22 shared papers)Ilze Elbere (14 shared papers)Ineta Kalniņa (10 shared papers)Dāvids Frīdmanis (12 shared papers)Valdis Pīrāgs (8 shared papers)Ilze Radoviča-Spalviņa (9 shared papers)Ilze Konrāde (8 shared papers)Dita Gudrā (6 shared papers)
In The Last Decade
Ivars Silamiķelis
27 papers receiving 466 citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 30
- Molecular Medicine 23
- Physiology 93
- Endocrinology, Diabetes and Metabolism 59
- Molecular Biology 262
Countries citing papers authored by Ivars Silamiķelis
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
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-authors
The 25 scholars most cited alongside Ivars Silamiķelis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2021 | 57 | |
| 3 | 2021 | 49 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 32 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 24 | |
| 8 | 2019 | 20 | |
| 9 | 2015 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2014 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Ivars Silamiķelis
Ivars Silamiķelis is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Endocrinology, Diabetes and Metabolism and Physiology, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Pituitary Gland Disorders and Treatments (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Mycobacterium research and diagnosis (3 papers), Diet and metabolism studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Molecular Medicine (23 citations), Physiology (93 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Molecular Biology (262 citations). Ivars Silamiķelis has collaborated with scholars based in Latvia, Sweden and Denmark. Frequent co-authors include Jānis Kloviņš, Ilze Elbere, Ineta Kalniņa, Dāvids Frīdmanis, Valdis Pīrāgs, Ilze Radoviča-Spalviņa, Ilze Konrāde, Dita Gudrā, Linda Zaharenko and Vita Rovīte. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Gut Microbes, Frontiers in Endocrinology and Clinical Epigenetics.
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.