Dita Gudrā
Impact in
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
- Wastewater Treatment and Nitrogen Removal
Papers in
- Pollution 11
- Pharmaceutical and Antibiotic Environmental Impacts 4
- Microplastics and Plastic Pollution 3
- Wastewater Treatment and Nitrogen Removal 3
- Microbial bioremediation and biosurfactants 2
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- Gut microbiota and health 7
- Co-authors
- Dāvids Frīdmanis (33 shared papers)Ilze Radoviča-Spalviņa (7 shared papers)Olga Muter (13 shared papers)Ineta Kalniņa (14 shared papers)Jānis Kloviņš (5 shared papers)Ivars Silamiķelis (6 shared papers)Valdis Pīrāgs (3 shared papers)Linda Zaharenko (3 shared papers)
In The Last Decade
Dita Gudrā
33 papers receiving 449 citations
Peers
Comparison fields: 5 of 104
- Pollution 93
- Biological Psychiatry 13
- Insect Science 61
- Infectious Diseases 57
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Dita Gudrā
This map shows the geographic impact of Dita Gudrā'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 Dita Gudrā with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dita Gudrā more than expected).
Fields of papers citing papers by Dita Gudrā
This network shows the impact of papers produced by Dita Gudrā. 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 Dita Gudrā. The network helps show where Dita Gudrā may publish in the future.
Co-authors
The 25 scholars most cited alongside Dita Gudrā, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2017 | 65 | |
| 3 | 2017 | 48 | |
| 4 | 2020 | 40 | |
| 5 | 2017 | 38 | |
| 6 | 2018 | 28 | |
| 7 | 2022 | 22 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Dita Gudrā
Dita Gudrā is a scholar working on Pollution, Molecular Biology, Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis and Infectious Diseases, having authored 36 papers that have together received 453 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Water Treatment and Disinfection (4 papers), Genetic and phenotypic traits in livestock (3 papers), Constructed Wetlands for Wastewater Treatment (3 papers), Microplastics and Plastic Pollution (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Microbial bioremediation and biosurfactants (2 papers). The work is most often cited by research in Pollution (93 citations), Biological Psychiatry (13 citations), Insect Science (61 citations), Infectious Diseases (57 citations) and Industrial and Manufacturing Engineering (28 citations). Dita Gudrā has collaborated with scholars based in Latvia, Estonia and Mexico. Frequent co-authors include Dāvids Frīdmanis, Ilze Radoviča-Spalviņa, Olga Muter, Ineta Kalniņa, Jānis Kloviņš, Ivars Silamiķelis, Valdis Pīrāgs, Linda Zaharenko, Ilze Elbere and Vadims Bartkevičs. Their work appears in journals such as The Science of The Total Environment, PLoS ONE, Annals of Oncology, Animals 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.