Vadims Parfejevs

748 total citations
14 papers, 585 citations indexed

About

Vadims Parfejevs is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Vadims Parfejevs has authored 14 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cancer Research. Recurrent topics in Vadims Parfejevs's work include Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (3 papers) and Extracellular vesicles in disease (2 papers). Vadims Parfejevs is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (3 papers) and Extracellular vesicles in disease (2 papers). Vadims Parfejevs collaborates with scholars based in Latvia, Switzerland and Italy. Vadims Parfejevs's co-authors include Una Riekstiņa, Lukas Sommer, Ruta Muceniece, Martin J. Hoogduijn, Indriķis Muižnieks, Jānis Ancāns, Inese Čakstiņa, Julien Debbache, Olga Shakhova and Michael Wegner and has published in prestigious journals such as Nature Communications, PLoS ONE and Oncogene.

In The Last Decade

Vadims Parfejevs

13 papers receiving 583 citations

Peers

Vadims Parfejevs
Franziska Nitzsche United States
Sangeetha Kandoi United States
Johnny Huard United States
Elena Groppa Switzerland
Pouya Mafi United Kingdom
Franziska Nitzsche United States
Vadims Parfejevs
Citations per year, relative to Vadims Parfejevs Vadims Parfejevs (= 1×) peers Franziska Nitzsche

Countries citing papers authored by Vadims Parfejevs

Since Specialization
Citations

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

Fields of papers citing papers by Vadims Parfejevs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadims Parfejevs

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

All Works

14 of 14 papers shown
1.
Jēkabsons, Kaspars, et al.. (2025). Physical model of serum supplemented medium flow in organ-on-a-chip systems. PLoS ONE. 20(6). e0322069–e0322069.
3.
Parfejevs, Vadims, et al.. (2024). Personalized PDAC chip with functional endothelial barrier for tumour biomarker detection: A platform for precision medicine applications. Materials Today Bio. 29. 101262–101262. 3 indexed citations
4.
Haugas, Maarja, et al.. (2023). Targeting triple-negative breast cancer cells with a β1-integrin binding aptamer. Molecular Therapy — Nucleic Acids. 33. 871–884. 6 indexed citations
5.
Riekstiņa, Una, et al.. (2022). Schwann Cells in Digestive System Disorders. Cells. 11(5). 832–832. 7 indexed citations
6.
Parfejevs, Vadims, et al.. (2020). Adult Stem Cell-Derived Extracellular Vesicles in Cancer Treatment: Opportunities and Challenges. Cells. 9(5). 1171–1171. 37 indexed citations
7.
Parfejevs, Vadims, et al.. (2019). Differential binding cell-SELEX method to identify cell-specific aptamers using high-throughput sequencing. Scientific Reports. 9(1). 8142–8142. 26 indexed citations
8.
Parfejevs, Vadims, et al.. (2018). Injury and stress responses of adult neural crest-derived cells. Developmental Biology. 444. S356–S365. 28 indexed citations
9.
Parfejevs, Vadims, Julien Debbache, Olga Shakhova, et al.. (2018). Injury-activated glial cells promote wound healing of the adult skin in mice. Nature Communications. 9(1). 236–236. 145 indexed citations
10.
Debbache, Julien, Vadims Parfejevs, & Lukas Sommer. (2018). Cre‐driver lines used for genetic fate mapping of neural crest cells in the mouse: An overview. genesis. 56(6-7). e23105–e23105. 35 indexed citations
11.
Cheng, Phil F., Mario Bonalli, Vadims Parfejevs, et al.. (2017). Sox2 is dispensable for primary melanoma and metastasis formation. Oncogene. 36(31). 4516–4524. 29 indexed citations
12.
Parfejevs, Vadims, et al.. (2012). Evaluation of Biochemical Changes in Skin‐Derived Mesenchymal Stem Cells during In Vitro Neurodifferentiation by FT‐IR Analysis. Journal of Spectroscopy. 27(5-6). 315–320. 1 indexed citations
13.
Jēkabsons, Kaspars, et al.. (2011). Culture-expanded human dermal stem cells exhibit donor to donor differences in cAMP generation. Cell and Tissue Research. 345(2). 253–263. 3 indexed citations
14.
Riekstiņa, Una, Inese Čakstiņa, Vadims Parfejevs, et al.. (2009). Embryonic Stem Cell Marker Expression Pattern in Human Mesenchymal Stem Cells Derived from Bone Marrow, Adipose Tissue, Heart and Dermis. Stem Cell Reviews and Reports. 5(4). 378–386. 258 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026