Danuta Płochocka

885 citations
49 papers · 697 · h-index 15

Impact in

Papers in

Danuta Płochocka

48 papers receiving 682 citations

Peers

Danuta Płochocka
Comparison fields: 5 of 80
  • Molecular Medicine 47
  • Molecular Biology 450
  • Endocrinology 30
  • Genetics 136
  • Pharmacology 55
Replace Yoshinori Muto with:
Yoshinori Muto Japan
Daniel Gigot Belgium
G. Malojcic Switzerland
Christina Kast Switzerland
Mario Garcı́a de Lacoba Spain
D.G. MacPhee Australia
Joshua F. Alfaro United States
Xiulan Chen China
Sophia L. Samodelov Switzerland
Klaus B. Heller Germany
Danuta Płochocka relative to Yoshinori Muto Japan Yoshinori Muto's profile →
Citations per field
00.5×1.5×2.0×
Yoshinori Muto · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Danuta Płochocka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danuta Płochocka Line = papers co-authored together Danuta Płochocka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005114
2 200186
3 201149
4 201743
5 201331
6 201330
7 200423
8 200317
9 200917
10 199616
11 201415
12 201114
13 199914
14 200814
15 200314
16 200914
17 201214
18 200613
19 200912
20 197711

About Danuta Płochocka

Danuta Płochocka is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology, Genetics and Materials Chemistry, having authored 49 papers that have together received 697 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Plant biochemistry and biosynthesis (7 papers), Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers), DNA Repair Mechanisms (5 papers), Enzyme Structure and Function (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Molecular Medicine (47 citations), Molecular Biology (450 citations), Endocrinology (30 citations), Genetics (136 citations) and Pharmacology (55 citations). Danuta Płochocka has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Anna Szkopińska, Roksana Iwanicka‐Nowicka, Monika M. Hryniewicz, Beata Burzyńska, Grażyna Jagura‐Burdzy, Christopher M. Thomas, Ewa Świeżewska, Piotr Zielenkiewicz, Monika Góra and Witold Danikiewicz. Their work appears in journals such as PLoS ONE, European Journal of Cell Biology, Acta Haematologica, Blood Cells Molecules and Diseases and Journal of Applied Microbiology.

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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