S. Kwiatkowski

548 citations
25 papers · 365 · h-index 9

Impact in

    • Biochemical effects in animals
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

S. Kwiatkowski

24 papers receiving 362 citations

Peers

S. Kwiatkowski
Comparison fields: 5 of 73
  • Physiology 76
  • Molecular Biology 182
  • Cell Biology 35
  • Behavioral Neuroscience 7
  • Biochemistry 13
Replace Fernando E. Herrera with:
Fernando E. Herrera Argentina
T.V. Bulargina Russia
Ioana M. Ilie Netherlands
Takeshi Nakao Japan
Matthew A. Barrett Canada
Alexander Christiansen Sweden
Birgit Henkel Germany
Mathias M. J. Bellaiche United States
Jonathan Pansieri United Kingdom
Joseph D. Barritt United Kingdom
S. Kwiatkowski relative to Fernando E. Herrera Argentina Fernando E. Herrera's profile →
Citations per field
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Fernando E. Herrera · 1×
Citations per year

Countries citing papers authored by S. Kwiatkowski

Since Specialization
Citations

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

Fields of papers citing papers by S. Kwiatkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201666
3 201949
4 201830
5 199025
6 202023
7 202114
8 202111
9 19959
10 20228
11 19977
12 19936
13 20016
14 19933
15 19943
16 20243
17 19923
18 19932
19
[The influence of patient-controlled epidural analgesia on labor progress and neonatal outcome].
20122
20 19972

About S. Kwiatkowski

S. Kwiatkowski is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Molecular Biology, Cell Biology and Materials Chemistry, having authored 25 papers that have together received 365 indexed citations. Recurring topics across this work include Semiconductor materials and interfaces (9 papers), Semiconductor materials and devices (6 papers), Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Metabolism and Genetic Disorders (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Aldose Reductase and Taurine (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Physiology (76 citations), Molecular Biology (182 citations), Cell Biology (35 citations), Behavioral Neuroscience (7 citations) and Biochemistry (13 citations). S. Kwiatkowski has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Jakub Drożak, Maria Veiga‐da‐Cunha, A. Turos, Takao Ishikawa, Adam K. Jagielski, Iwona Grabowska, Marcel Tiebe, Aurelio A. Teleman, Didier Vertommen and Hj. Matzke. Their work appears in journals such as Current Protein and Peptide Science, eLife, Journal of Biological Chemistry, Physical Review Letters and The Journal of Physiology.

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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