Danuta Płochocka

880 total citations
49 papers, 691 citations indexed

About

Danuta Płochocka is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Danuta Płochocka has authored 49 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Physiology. Recurrent topics in Danuta Płochocka's work include Plant biochemistry and biosynthesis (8 papers), Erythrocyte Function and Pathophysiology (7 papers) and Neonatal Health and Biochemistry (7 papers). Danuta Płochocka is often cited by papers focused on Plant biochemistry and biosynthesis (8 papers), Erythrocyte Function and Pathophysiology (7 papers) and Neonatal Health and Biochemistry (7 papers). Danuta Płochocka collaborates with scholars based in Poland, United Kingdom and United States. Danuta Płochocka's co-authors include Anna Szkopińska, Roksana Iwanicka‐Nowicka, Monika M. Hryniewicz, Beata Burzyńska, Christopher M. Thomas, Grażyna Jagura‐Burdzy, Ewa Świeżewska, Piotr Zielenkiewicz, Witold Danikiewicz and Francis Karst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Danuta Płochocka

48 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danuta Płochocka Poland 15 470 137 74 69 59 49 691
María Lucas Spain 19 669 1.4× 251 1.8× 61 0.8× 136 2.0× 68 1.2× 36 1.1k
L. Sutherland United Kingdom 11 355 0.8× 187 1.4× 33 0.4× 51 0.7× 35 0.6× 14 664
Daniel Gigot Belgium 22 851 1.8× 309 2.3× 69 0.9× 135 2.0× 156 2.6× 35 1.5k
Yoshinori Muto Japan 16 475 1.0× 75 0.5× 32 0.4× 36 0.5× 39 0.7× 53 752
Labanyamoy Kole India 16 321 0.7× 38 0.3× 41 0.6× 15 0.2× 40 0.7× 22 688
Mark G. Obukowicz United States 18 395 0.8× 105 0.8× 113 1.5× 36 0.5× 54 0.9× 29 866
David C. Eustice United States 16 861 1.8× 136 1.0× 74 1.0× 39 0.6× 29 0.5× 22 1.3k
Mario Garcı́a de Lacoba Spain 15 785 1.7× 76 0.6× 157 2.1× 55 0.8× 137 2.3× 28 1.1k
Virendra K. Bajpai India 18 323 0.7× 60 0.4× 92 1.2× 17 0.2× 135 2.3× 25 921
Kazuyo Nishihara Japan 11 754 1.6× 215 1.6× 63 0.9× 73 1.1× 23 0.4× 33 1.1k

Countries citing papers authored by Danuta Płochocka

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Płochocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Płochocka

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Płochocka. A scholar is included among the top collaborators of Danuta Płochocka 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 Danuta Płochocka. Danuta Płochocka 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.
Poznański, Jarosław, et al.. (2019). Hereditary xerocytosis - spectrum and clinical manifestations of variants in the PIEZO1 gene, including co-occurrence with a novel β-globin mutation. Blood Cells Molecules and Diseases. 80. 102378–102378. 6 indexed citations
2.
Tisi, Renata, et al.. (2017). Two mutations in mitochondrial ATP6 gene of ATP synthase, related to human cancer, affect ROS, calcium homeostasis and mitochondrial permeability transition in yeast. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1865(1). 117–131. 42 indexed citations
3.
Szczęsny, Roman J., Anna Klukowska, Urszula Demkow, et al.. (2017). Two novel C-terminal frameshift mutations in the β-globin gene lead to rapid mRNA decay. BMC Medical Genetics. 18(1). 65–65. 6 indexed citations
4.
Wawrzyńska, Anna, et al.. (2013). Direct targeting of Arabidopsis cysteine synthase complexes with synthetic polypeptides to selectively deregulate cysteine synthesis. Plant Science. 207. 148–157. 1 indexed citations
5.
Maciąg-Dorszyńska, Monika, et al.. (2009). Novel beta‐spectrin mutations in hereditary spherocytosis associated with decreased levels of mRNA. British Journal of Haematology. 146(3). 326–332. 17 indexed citations
6.
Burzyńska, Beata, Danuta Płochocka, Joanna Kamińska, et al.. (2009). Investigating the Effects of Statins on Cellular Lipid Metabolism Using a Yeast Expression System. PLoS ONE. 4(12). e8499–e8499. 14 indexed citations
7.
Kozłowska, Ewa, et al.. (2008). The F658G substitution in Saccharomyces cerevisiae cohesin Irr1/Scc3 is semi-dominant in the diploid and disturbs mitosis, meiosis and the cell cycle. European Journal of Cell Biology. 87(10). 831–844. 3 indexed citations
8.
Domingues, Susana, Danuta Płochocka, Mário A. Santos, et al.. (2008). The lactococcal abortive infection protein AbiP is membrane-anchored and binds nucleic acids. Virology. 373(1). 14–24. 14 indexed citations
9.
Bidnenko, Elena, et al.. (2007). A distinct single-stranded DNA-binding protein encoded by the Lactococcus lactis bacteriophage bIL67. Virology. 363(1). 104–112. 10 indexed citations
10.
11.
Maciąg-Dorszyńska, Monika, et al.. (2006). Molecular and Haematological Studies of Four Families with Hereditary Spherocytosis Resulting from Band 3 Deficiency. Acta Haematologica. 116(2). 143–145. 1 indexed citations
12.
Karst, Francis, Danuta Płochocka, Sophie Meyer, & Anna Szkopińska. (2004). Farnesyl diphosphate synthase activity affects ergosterol level and proliferation of yeast Saccharomyces cerevisae. Cell Biology International. 28(3). 193–197. 23 indexed citations
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Grzybowska, Ewa A., Monika Góra, Danuta Płochocka, & Joanna Rytka. (2002). Saccharomyces cerevisiae Ferrochelatase Forms a Homodimer. Archives of Biochemistry and Biophysics. 398(2). 170–178. 9 indexed citations
16.
Iwanicka‐Nowicka, Roksana, et al.. (2001). Functional Dissection of the LysR-type CysB Transcriptional Regulator. Journal of Biological Chemistry. 276(3). 2098–2107. 87 indexed citations
17.
Płochocka, Danuta, Francis Karst, Ewa Świeżewska, & Anna Szkopińska. (2000). The role of ERG20 gene (encoding yeast farnesyl diphosphate synthase) mutation in long dolichol formation. Molecular modeling of FPP synthase. Biochimie. 82(8). 733–738. 10 indexed citations
18.
Płochocka, Danuta, et al.. (1988). Hydrophobic microdomains as structural invariant regions in proteins. Protein Engineering Design and Selection. 2(2). 115–118. 7 indexed citations
19.
Zielenkiewicz, Piotr, et al.. (1988). The formation of protein secondary structure. Biophysical Chemistry. 31(1-2). 139–142. 6 indexed citations
20.
Płochocka, Danuta, et al.. (1981). Intramolecular hydrogen bonding and molecular conformations of nucleosides: uridine derivatives. Journal of the Chemical Society Perkin Transactions 2. 82–82. 4 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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