Inese Čakstiņa

15 papers and 447 indexed citations i.

About

Inese Čakstiņa is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Inese Čakstiņa has authored 15 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Oncology. Recurrent topics in Inese Čakstiņa’s work include Mesenchymal stem cell research (5 papers), RNA Research and Splicing (3 papers) and Cancer Cells and Metastasis (3 papers). Inese Čakstiņa is often cited by papers focused on Mesenchymal stem cell research (5 papers), RNA Research and Splicing (3 papers) and Cancer Cells and Metastasis (3 papers). Inese Čakstiņa collaborates with scholars based in Latvia, United States and Germany. Inese Čakstiņa's co-authors include Una Riekstiņa, Indriķis Muižnieks, Jānis Ancāns, Ruta Muceniece, Martin J. Hoogduijn, Vadims Parfejevs, Jurijs Ozoliņš, Līga Stīpniece, Nityanand Jain and Daniel W. Youngstrom and has published in prestigious journals such as Plant Molecular Biology, Cell Research and Cytotherapy.

In The Last Decade

Co-authorship network of co-authors of Inese Čakstiņa i

Fields of papers citing papers by Inese Čakstiņa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inese Čakstiņa

Since Specialization
Citations

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

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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