S. Kwiatkowski

539 citations
24 papers · 340 · h-index 9

Impact in

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

Papers in

S. Kwiatkowski

24 papers receiving 338 citations

Peers

S. Kwiatkowski
Comparison fields: 5 of 75
  • Physiology 76
  • Molecular Biology 175
  • Behavioral Neuroscience 9
  • Cell Biology 40
  • Biochemistry 14
Replace Fernando E. Herrera with:
Fernando E. Herrera Argentina
Takeshi Nakao Japan
Hubert Santuz France
Matthew A. Barrett Canada
Ruchi Kapoor United States
Peter Husen Denmark
Izumi Ishigami United States
Ioana M. Ilie Netherlands
James McCarty United States
Yingfei Chen China
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 201662
3 201944
4 201830
5 199025
6 202019
7 202112
8 202110
9 19959
10 20228
11 19977
12 19936
13 20016
14 19923
15 19933
16 20242
17
[The influence of patient-controlled epidural analgesia on labor progress and neonatal outcome].
20122
18 19972
19 19932
20 19962

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 24 papers that have together received 340 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), Aldose Reductase and Taurine (3 papers), Metabolism and Genetic Disorders (2 papers), Free Radicals and Antioxidants (2 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Physiology (76 citations), Molecular Biology (175 citations), Behavioral Neuroscience (9 citations), Cell Biology (40 citations) and Biochemistry (14 citations). S. Kwiatkowski has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Jakub Drożak, A. Turos, Maria Veiga‐da‐Cunha, Takao Ishikawa, Adam K. Jagielski, Hj. Matzke, Didier Vertommen, Marcel Tiebe, Iwona Grabowska and Aurelio A. Teleman. Their work appears in journals such as Current Protein and Peptide Science, Journal of Biological Chemistry, eLife, Scientific Reports and Journal of Applied Physics.

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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