Magdalena Olbryt

1.6k citations
25 papers · 1.2k indexed · 1 hit paper · h-index 13
Topics
Melanoma and MAPK Pathways (6 papers)Cancer-related molecular mechanisms research (5 papers)Cutaneous Melanoma Detection and Management (5 papers)
Partner nations
PolandDenmarkJapan

In The Last Decade

Magdalena Olbryt

24 papers receiving 1.1k citations

Hit Papers

A receptor kinase gene of the LysM type is involved in le...20032026201020182003200400600

Peers

Magdalena Olbryt
Comparison fields: 5 of 83
  • Plant Science 725
  • Molecular Biology 334
  • Agronomy and Crop Science 270
  • Cancer Research 168
  • Oncology 126
Replace Christine Couldrey with:
Christine Couldrey New Zealand
Cheng Tan China
Shingo Toji Japan
Elizabeth L. Virts United States
Jeff DeJong United States
Saumen Pal India
ChuShin Koh Canada
J Dittmer United States
Ruth A. Pimental United States
Mariko Tomita Japan
Magdalena Olbryt relative to Christine Couldrey New Zealand Christine Couldrey's profile →
Citations per field
00.5×11.9×
Christine Couldrey · 1×
Citations per year

Countries citing papers authored by Magdalena Olbryt

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Olbryt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Olbryt

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Olbryt. A scholar is included among the top collaborators of Magdalena Olbryt 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 Magdalena Olbryt. Magdalena Olbryt 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 0
2 5
3 2
4 11
5 18
6 34
7 23
8 3
9 3
10 35
11 50
12 33
13 70
14 10
15 26
16 3
17 17
18 32
19
A receptor kinase gene of the LysM type is involved in legume perception of rhizobial signals
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A receptor kinase gene of the LysM type is involved in legumeperception of rhizobial signalsbreakdown →
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About Magdalena Olbryt

Magdalena Olbryt is a scholar working on Cancer Research, Reproductive Medicine and Oncology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Cancer-related molecular mechanisms research (5 papers) and Cutaneous Melanoma Detection and Management (5 papers). The work is most often cited by research in Agronomy and Crop Science (270 citations), Plant Science (725 citations) and Cancer Research (168 citations). Magdalena Olbryt has collaborated with scholars based in Poland, Denmark and Japan. Frequent co-authors include Shusei Sato, Simona Radutoiu, Niels Sandal, Satoshi Tabata, Jens Stougaard, Esben Bjørn Madsen, Lene H. Madsen, Takakazu Kaneko, Magdalena Rakwalska and Krzysztof Szczygłowski. Their work appears in journals such as Nature, PLoS ONE and Genetics.

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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