Ewa Popowska

1.9k citations
36 papers · 565 indexed · h-index 15

Ewa Popowska

35 papers receiving 555 citations

Peers

Ewa Popowska
Comparison fields: 5 of 75
  • Molecular Biology 346
  • Genetics 125
  • Clinical Biochemistry 83
  • Surgery 80
  • Physiology 68
Replace Yuan-Yuan Ho with:
Yuan-Yuan Ho Hong Kong
Ben Pode‐Shakked Israel
Chiyoko N. Inoue Japan
Lucky K. Kelley United States
Yehani Wedatilake United Kingdom
François‐Guillaume Debray Belgium
Jeffrey Hiken United States
Godfrey T. Gillett United Kingdom
Toshihiko Nishino Japan
Catherine Coquard France
Ewa Popowska relative to Yuan-Yuan Ho Hong Kong Yuan-Yuan Ho's profile →
Citations per field
00.5×1.5×1.9×
Yuan-Yuan Ho · 1×
Citations per year

Countries citing papers authored by Ewa Popowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Popowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Popowska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Popowska. A scholar is included among the top collaborators of Ewa Popowska 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 Ewa Popowska. Ewa Popowska 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
#WorkIndexed citations
1 2
2 29
3 21
4 17
5 8
6 23
7 14
8 22
9 14
10 12
11 10
12 11
13 14
14
Ornithine transcarbamylase gene mutations and genotype-phenotype correlation in Polish patients with hyperammonemia type 2
1
15
Different mutations in Polish patients with HPRT deficiency - the Lesch-Nyhan and Kelley-Seegmiller syndromes
3
16 5
17 26
18
A clinical, cytogenetic and molecular study in Prader-Willi patients
0
19 30
20
The N4-hydroxycytidine reduction system in toluenized cells of Salmonella typhimurium.
5

About Ewa Popowska

Ewa Popowska is a scholar working on Clinical Biochemistry, Nephrology and Biochemistry, having authored 36 papers that have together received 565 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (6 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Clinical Biochemistry (83 citations), Nephrology (41 citations) and Molecular Biology (346 citations). Ewa Popowska has collaborated with scholars based in Poland, Germany and Canada. Frequent co-authors include Ewa Pronicka, Małgorzata Krajewska‐Walasek, Celina Janion, Dorota Piekutowska‐Abramczuk, Elżbieta Ciara, Dorota Jurkiewicz, Maciej Pronicki, Elżbieta Karczmarewicz, Jolanta Sykut‐Cegielska and Mikołaj Łabuda. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Acta Neuropathologica.

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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