D. Upīte

491 citations
19 papers · 391 · h-index 9

Impact in

Papers in

D. Upīte

19 papers receiving 371 citations

Peers

D. Upīte
Comparison fields: 5 of 66
  • Nutrition and Dietetics 240
  • Biotechnology 113
  • Food Science 81
  • Endocrinology, Diabetes and Metabolism 52
  • Biomedical Engineering 93
Replace E. Kaminska with:
E. Kaminska Latvia
M. Beķers Latvia
M. A. Clarke United States
Ángela Ávila-Fernández Mexico
Kim M. Trollope South Africa
K. M. Brobst United States
Ingrid Van Haesendonck Belgium
Teruo Nakakuki Japan
Attila Bagdi Hungary
Rainer A. Hoffmann Netherlands
D. Upīte relative to E. Kaminska Latvia E. Kaminska's profile →
Citations per field
00.5×1.5×
E. Kaminska · 1×
Citations per year

Countries citing papers authored by D. Upīte

Since Specialization
Citations

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

Fields of papers citing papers by D. Upīte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside D. Upīte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Upīte Line = papers co-authored together D. Upīte links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200297
2 200270
3 200248
4 200436
5 200732
6 200125
7 199915
8 201213
9
Development of birch (Betula pendula Roth.) sap based probiotic fermented beverage.
201410
10 19978
11 20037
12 20137
13 19996
14 20085
15 20015
16
The resistance of some prebiotics and probiotic bacteria in the stomach model environment.
20103
17
Synbiotic properties of functional food additive from Jerusalem Artichoke tubers in regard to lactic acid bacteria starter cultures for fermented foods.
20082
18 19971
19
Ethanol and fructose from sugar beets.
19981

About D. Upīte

D. Upīte is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Biotechnology, Genetics and Food Science, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Microbial Metabolites in Food Biotechnology (16 papers), Diet, Metabolism, and Disease (7 papers), Food composition and properties (5 papers), Enzyme Production and Characterization (3 papers), Probiotics and Fermented Foods (3 papers), Microbial Inactivation Methods (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Nutrition and Dietetics (240 citations), Biotechnology (113 citations), Food Science (81 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Biomedical Engineering (93 citations). D. Upīte has collaborated with scholars based in Latvia, United States and Sweden. Frequent co-authors include E. Kaminska, M. Beķers, Māra Grūbe, J. Laukevics, Armands Vīgants, R. Linde, Pāvels Semjonovs, Alexander Rapoport, Pēteris Zikmanis and D. Kārkliņa. Their work appears in journals such as Process Biochemistry, Microscopy and Microanalysis, International Food Research Journal, Folia Microbiologica and Vibrational Spectroscopy.

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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