L.N. Patskovska

640 total citations
9 papers, 365 citations indexed

About

L.N. Patskovska is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, L.N. Patskovska has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in L.N. Patskovska's work include Genomics, phytochemicals, and oxidative stress (6 papers), Glutathione Transferases and Polymorphisms (6 papers) and Hemoglobinopathies and Related Disorders (3 papers). L.N. Patskovska is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (6 papers), Glutathione Transferases and Polymorphisms (6 papers) and Hemoglobinopathies and Related Disorders (3 papers). L.N. Patskovska collaborates with scholars based in United States. L.N. Patskovska's co-authors include Y. Patskovsky, Irving Listowsky, Steven C. Almo, Zhe Li, Abel Silva‐Garcia, Athiwat Hutchaleelaha, Brian W. Metcalf, David R. Archer, Kobina Dufu and Mira Patel and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and British Journal of Haematology.

In The Last Decade

L.N. Patskovska

9 papers receiving 357 citations

Peers

L.N. Patskovska
Comparison fields: 5 of 55
  • Molecular Biology 208
  • Genetics 142
  • Hematology 92
  • Physiology 59
  • Cell Biology 41
Replace Jenn C. Chen with:
Jenn C. Chen United States
Abel Silva‐Garcia United States
Mira Patel United States
Judi Møss Denmark
William R. Bergren United States
Amel Hamdi Canada
Bojana Vulevic United States
J. P. Lewis United States
Huimin Cheng China
Maria Morak Austria
Jenn C. Chen United States View profile →
Citations per field, relative to L.N. Patskovska
L.N. Patskovska · 1×
Citations per year, relative to L.N. Patskovska
L.N. Patskovska · 1×

Countries citing papers authored by L.N. Patskovska

Since Specialization
Citations

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

Fields of papers citing papers by L.N. Patskovska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.N. Patskovska. 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 L.N. Patskovska. The network helps show where L.N. Patskovska may publish in the future.

Co-authorship network of co-authors of L.N. Patskovska

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 184
2 37
3 10
4 6
5 29
6 19
7 49
8 6
9 25

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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