Michał J. Dąbrowski

800 citations
26 papers · 461 indexed · h-index 12
Topics
Genetic diversity and population structure (7 papers)Epigenetics and DNA Methylation (6 papers)Genomics and Chromatin Dynamics (5 papers)

In The Last Decade

Michał J. Dąbrowski

24 papers receiving 455 citations

Peers

Michał J. Dąbrowski
Comparison fields: 5 of 82
  • Genetics 214
  • Ecology 183
  • Molecular Biology 142
  • Ecology, Evolution, Behavior and Systematics 48
  • Surgery 41
Replace Carlos Martínez‐Ruiz with:
Carlos Martínez‐Ruiz United Kingdom
S.J. Charter United States
Oscar C. Bedoya-Reina Sweden
Andrew Holyoake New Zealand
Yeşerin Yıldırım Sweden
Brent Higgins Canada
Dona Kanavy United States
Chenguang Zheng China
Jingliang Kang China
Wilfried M. Guiblet United States
Michał J. Dąbrowski relative to Carlos Martínez‐Ruiz United Kingdom Carlos Martínez‐Ruiz's profile →
Citations per field
00.5×3.2×
Carlos Martínez‐Ruiz · 1×
Citations per year

Countries citing papers authored by Michał J. Dąbrowski

Since Specialization
Citations

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

Fields of papers citing papers by Michał J. Dąbrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał J. Dąbrowski. 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 Michał J. Dąbrowski. The network helps show where Michał J. Dąbrowski may publish in the future.

Co-authorship network of co-authors of Michał J. Dąbrowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michał J. Dąbrowski. A scholar is included among the top collaborators of Michał J. Dąbrowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał J. Dąbrowski. Michał J. Dąbrowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 0
4 1
5 3
6 5
7 12
8 11
9 1
10 6
11 45
12 11
13 25
14 17
15 8
16 44
17 35
18 8
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20 35

About Michał J. Dąbrowski

Michał J. Dąbrowski is a scholar working on Anesthesiology and Pain Medicine, Genetics and Ecology, having authored 26 papers that have together received 461 indexed citations. Recurring topics across this work include Genetic diversity and population structure (7 papers), Epigenetics and DNA Methylation (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Genetics (214 citations), Ecology (183 citations) and Anesthesiology and Pain Medicine (22 citations). Michał J. Dąbrowski has collaborated with scholars based in Poland, Sweden and United Kingdom. Frequent co-authors include Joanna Gliwicz, Małgorzata Pilot, Bartosz Wojtaś, Jan Komorowski, Husen M. Umer, Elena Tsingarska, Bogumiła Jędrzejewska, Sylwia D. Czarnomska, André E. Moura and Susanne Bornelöv. Their work appears in journals such as Nucleic Acids Research, Blood and PLoS ONE.

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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