Anna Szkopińska

649 citations
26 papers · 521 indexed · h-index 14

Anna Szkopińska

26 papers receiving 505 citations

Peers

Anna Szkopińska
Comparison fields: 5 of 68
  • Biochemistry 54
  • Biochemistry 57
  • Molecular Biology 442
  • Biotechnology 39
  • Pharmacology 75
Replace Sakiko Takahashi with:
Sakiko Takahashi Japan
Kiyotaka Machida Japan
V. Roig-Zamboni France
Minmin Wang United States
Marc d’Alarcao United States
Ana Marı́a Jabalquinto Chile
Kasper Møller Denmark
Taku Chiba Japan
Teruki Matsumoto Japan
Anna Szkopińska relative to Sakiko Takahashi Japan Sakiko Takahashi's profile →
Citations per field
00.5×3.3×
Sakiko Takahashi · 1×
Citations per year

Countries citing papers authored by Anna Szkopińska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Szkopińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anna Szkopińska, 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 Anna Szkopińska Line = papers co-authored together Anna Szkopińska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201329
2 201114
3 200914
4 200814
5 20076
6 20057
7 20053
8 200423
9 200211
10 20014
11
The role of ERG20 gene (encoding yeast farnesyl diphosphate synthase) mutation in long dolichol formation. Molecular modeling of FPP synthase
200012
12 200010
13 200034
14 200049
15 199822
16 199742
17 199618
18 199213
19
Factors affecting oxygen-induced changes in the activity of CTP-dependent lipid kinases in yeast.
19901
20 198820

About Anna Szkopińska

Anna Szkopińska is a scholar working on Biochemistry, Biochemistry, Molecular Biology, Food Science and Computational Theory and Mathematics, having authored 26 papers that have together received 521 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (17 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Fermentation and Sensory Analysis (4 papers), Glycosylation and Glycoproteins Research (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Computational Drug Discovery Methods (3 papers), Lipid metabolism and biosynthesis (3 papers) and Antioxidant Activity and Oxidative Stress (3 papers). The work is most often cited by research in Biochemistry (54 citations), Biochemistry (57 citations), Molecular Biology (442 citations), Biotechnology (39 citations) and Pharmacology (75 citations). Anna Szkopińska has collaborated with scholars based in Poland, France and United States. Frequent co-authors include Danuta Płochocka, Ewa Świeżewska, Francis Karst, Grażyna Palamarczyk, Joanna Rytka, Didier Delourme, Kariona A. Grabińska, Tadeusz Chojnacki, Dorota Grabowska and Teresa Żołądek. Their work appears in journals such as Biochimie, Cell Biology International, Biochemical and Biophysical Research Communications, FEBS Letters and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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