Tomasz Krawczyk

1.1k citations
75 papers · 866 · h-index 16

Impact in

Papers in

Tomasz Krawczyk

71 papers receiving 852 citations

Peers

Tomasz Krawczyk
Comparison fields: 5 of 108
  • Process Chemistry and Technology 88
  • Catalysis 79
  • Cancer Research 97
  • Biomedical Engineering 172
  • Health, Toxicology and Mutagenesis 51
Replace Zhengguo Zhang with:
Zhengguo Zhang China
Toshiaki Kamachi Japan
Xueli Cheng China
Xiaojun Liu China
Xianyu Meng China
Chunxin Lü China
Yongyi Wei United States
Richard A. Brown United States
Shuyuan Yu China
Andrea Bodor Hungary
Tomasz Krawczyk relative to Zhengguo Zhang China Zhengguo Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomasz Krawczyk

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Krawczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200969
2 201451
3 202046
4 200545
5 201237
6 202336
7 202136
8
An association between the matrix metalloproteinase 1 promoter gene polymorphism and lymphnode metastasis in breast cancer.
200436
9 202132
10 202026
11 200925
12
Mitochondrial NADH-dehydrogenase polymorphisms as sporadic breast cancer risk factor.
201023
13 202023
14 201022
15 200621
16 201617
17 200915
18 201515
19 202315
20 201614

About Tomasz Krawczyk

Tomasz Krawczyk is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Organic Chemistry and Spectroscopy, having authored 75 papers that have together received 866 indexed citations. Recurring topics across this work include Lanthanide and Transition Metal Complexes (8 papers), Advanced MRI Techniques and Applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (4 papers), Magnetism in coordination complexes (4 papers), Analytical Chemistry and Chromatography (4 papers), Analytical Chemistry and Sensors (4 papers) and Carbon dioxide utilization in catalysis (4 papers). The work is most often cited by research in Process Chemistry and Technology (88 citations), Catalysis (79 citations), Cancer Research (97 citations), Biomedical Engineering (172 citations) and Health, Toxicology and Mutagenesis (51 citations). Tomasz Krawczyk has collaborated with scholars based in Poland, Japan and United States. Frequent co-authors include Stefan Baj, Agnieszka Siewniak, Marzenna Nasiadek, Andrzej Sapota, A. Sobolewski, Mirosława Pawlyta, Anna M. Czarnecka, Ewa Bartnik, Paweł Golik and Mariusz Zalewski. Their work appears in journals such as Talanta, ACS Sustainable Chemistry & Engineering, ACS Sensors, Molecules and Catalysis Letters.

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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