Dāvids Frīdmanis

1.7k total citations
77 papers, 1.3k citations indexed

About

Dāvids Frīdmanis is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Dāvids Frīdmanis has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Cell Biology. Recurrent topics in Dāvids Frīdmanis's work include Plant Pathogens and Fungal Diseases (10 papers), Regulation of Appetite and Obesity (9 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Dāvids Frīdmanis is often cited by papers focused on Plant Pathogens and Fungal Diseases (10 papers), Regulation of Appetite and Obesity (9 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Dāvids Frīdmanis collaborates with scholars based in Latvia, Sweden and Finland. Dāvids Frīdmanis's co-authors include Jānis Kloviņš, Dita Gudrā, Ineta Kalniņa, Valdis Pīrāgs, Tatjana Haitina, Helgi B. Schiöth, Ilze Radoviča-Spalviņa, Robert Fredriksson, Liene Ņikitina-Zaķe and Ivars Silamiķelis and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dāvids Frīdmanis

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dāvids Frīdmanis Latvia 21 477 257 239 153 131 77 1.3k
Shuhong Li China 31 797 1.7× 163 0.6× 303 1.3× 215 1.4× 107 0.8× 77 4.5k
Sudipta Maitra India 20 391 0.8× 92 0.4× 63 0.3× 149 1.0× 67 0.5× 88 1.9k
Q. Swennen Belgium 25 157 0.3× 295 1.1× 393 1.6× 68 0.4× 66 0.5× 47 1.9k
Mark P. Richards United States 29 528 1.1× 343 1.3× 1.1k 4.8× 120 0.8× 122 0.9× 93 3.0k
Marie‐France Palin Canada 30 641 1.3× 387 1.5× 346 1.4× 220 1.4× 85 0.6× 112 3.1k
Giuseppina Basini Italy 29 431 0.9× 151 0.6× 121 0.5× 78 0.5× 25 0.2× 104 2.3k
Fang Chen China 23 447 0.9× 139 0.5× 334 1.4× 33 0.2× 78 0.6× 72 1.5k
Brigitte Siliart France 21 555 1.2× 140 0.5× 183 0.8× 250 1.6× 104 0.8× 44 1.8k
H. Douglas Braymer United States 25 668 1.4× 208 0.8× 171 0.7× 58 0.4× 56 0.4× 56 1.4k

Countries citing papers authored by Dāvids Frīdmanis

Since Specialization
Citations

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

Fields of papers citing papers by Dāvids Frīdmanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dāvids Frīdmanis

This figure shows the co-authorship network connecting the top 25 collaborators of Dāvids Frīdmanis. A scholar is included among the top collaborators of Dāvids Frīdmanis 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 Dāvids Frīdmanis. Dāvids Frīdmanis 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.
Azevedo, Andreia S., Dita Gudrā, Dāvids Frīdmanis, et al.. (2025). Biofilm formation on the polyethylene terephthalate plastic surface weathered under laboratory and real landfill conditions. Journal of Hazardous Materials Advances. 18. 100649–100649. 1 indexed citations
3.
Gudrā, Dita, et al.. (2024). Human Herpesvirus-6B Infection and Alterations of Gut Microbiome in Patients with Fibromyalgia: A Pilot Study. Biomolecules. 14(10). 1291–1291. 1 indexed citations
4.
Frīdmanis, Dāvids, et al.. (2024). Sensitivity Analysis of Pyrenophora tritici-repentis to Quinone-Outside Inhibitor and 14α-Demethylase Inhibitor Fungicides in Latvia. Pathogens. 13(12). 1060–1060. 1 indexed citations
5.
Gudrā, Dita, et al.. (2023). Uncovering the potential of landfill leachate for biodegradation of cassava-derived plastics. Bioresource Technology Reports. 24. 101628–101628. 5 indexed citations
6.
Gudrā, Dita, et al.. (2023). Oral Microbiome Traits of Type 1 Diabetes and Phenylketonuria Patients in Latvia. Microorganisms. 11(6). 1471–1471. 3 indexed citations
7.
Stoddard, Frederick L., et al.. (2023). Evaluation of pathogenicity of Botrytis species isolated from different legumes. Frontiers in Plant Science. 14. 1069126–1069126. 11 indexed citations
8.
Gudrā, Dita, et al.. (2023). Genomic Characterization and Initial Insight into Mastitis-Associated SNP Profiles of Local Latvian Bos taurus Breeds. Animals. 13(17). 2776–2776. 2 indexed citations
10.
Krams, Ronalds, Dita Gudrā, Tatjana Krama, et al.. (2022). Dominance of Fructose-Associated Fructobacillus in the Gut Microbiome of Bumblebees (Bombus terrestris) Inhabiting Natural Forest Meadows. Insects. 13(1). 98–98. 12 indexed citations
11.
Kalniņš, Mārtiņš, et al.. (2021). Effect of bioaugmentation on the growth and rhizosphere microbiome assembly of hydroponic cultures of Mentha aquatica. Ecological Genetics and Genomics. 22. 100107–100107. 4 indexed citations
13.
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
14.
Zaharenko, Linda, Ineta Kalniņa, Kristine Geldnere, et al.. (2016). Single nucleotide polymorphisms in the intergenic region between metformin transporter OCT2 and OCT3 coding genes are associated with short-term response to metformin monotherapy in type 2 diabetes mellitus patients. European Journal of Endocrinology. 175(6). 531–540. 25 indexed citations
15.
Frīdmanis, Dāvids, et al.. (2016). Fungal Diversity of Maize (Zea Mays L.) Grains. SHILAP Revista de lepidopterología. 35(330). 2–6. 6 indexed citations
16.
Latkovskis, Gustavs, et al.. (2014). Evaluation Of Massive Parallel Sequencing As A Diagnostic Tool For Familial Hypercholesterolemia. Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences. 69(1-2). 1–7. 2 indexed citations
17.
Frīdmanis, Dāvids, et al.. (2013). The Association of Common SNPs and Haplotypes in CETP Gene with HDL Cholesterol Levels in Latvian Population. PLoS ONE. 8(5). e64191–e64191. 23 indexed citations
18.
Kalniņa, Ineta, Gustavs Latkovskis, Vitolds Mackēvičs, et al.. (2009). Analysis of Polymorphisms at the Adiponectin Gene Locus in Association with Type 2 Diabetes, Body Mass Index and Cardiovascular Traits in Latvian Population. Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences. 63(4-5). 174–179. 5 indexed citations
19.
Lagerström, Malin C., Robert Fredriksson, Thóra K. Bjarnadóttir, et al.. (2005). Origin of the prolactin-releasing hormone (PRLH) receptors: Evidence of coevolution between PRLH and a redundant neuropeptide Y receptor during vertebrate evolution. Genomics. 85(6). 688–703. 36 indexed citations
20.
Kloviņš, Jānis, Tatjana Haitina, Dāvids Frīdmanis, et al.. (2004). The Melanocortin System in Fugu: Determination of POMC/AGRP/MCR Gene Repertoire and Synteny, As Well As Pharmacology and Anatomical Distribution of the MCRs. Molecular Biology and Evolution. 21(3). 563–579. 148 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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