Maria Łukasik

410 citations
36 papers · 324 indexed · h-index 10
Topics
Platelet Disorders and Treatments (7 papers)Atherosclerosis and Cardiovascular Diseases (6 papers)Inflammatory Biomarkers in Disease Prognosis (6 papers)
Partner nations
Poland

In The Last Decade

Maria Łukasik

33 papers receiving 315 citations

Peers

Maria Łukasik
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 143
  • Molecular Biology 100
  • Hematology 68
  • Immunology 65
  • Epidemiology 61
Replace Lavinia Forte with:
Lavinia Forte Italy
Stéphanie Magnenat France
Andreas Engelhardt Germany
Luciano Kolodny United States
Gerrit M. Große Germany
Zusen Ye China
Mitchell S Elkind United States
Alexander M. Kollikowski Germany
Taehwan Yoo United States
Olga Azevedo Portugal
Maria Łukasik relative to Lavinia Forte Italy Lavinia Forte's profile →
Citations per field
00.5×3.8×
Lavinia Forte · 1×
Citations per year

Countries citing papers authored by Maria Łukasik

Since Specialization
Citations

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

Fields of papers citing papers by Maria Łukasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Łukasik

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Łukasik. A scholar is included among the top collaborators of Maria Łukasik 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 Maria Łukasik. Maria Łukasik 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 3
3 1
4 5
5 3
6 7
7 20
8 0
9 44
10 3
11 8
12
Abortive and prophylactic treatment of migraine
0
13 3
14 4
15 10
16 2
17 16
18 21
19 26
20 16

About Maria Łukasik

Maria Łukasik is a scholar working on Internal Medicine, Hematology and Neurology, having authored 36 papers that have together received 324 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers) and Inflammatory Biomarkers in Disease Prognosis (6 papers). The work is most often cited by research in Internal Medicine (48 citations), Cardiology and Cardiovascular Medicine (143 citations) and Hematology (68 citations). Maria Łukasik has collaborated with scholars based in Poland. Frequent co-authors include Wojciech Kozubski, Cezary Watała, Grzegorz Dworacki, S. Michalak, Wojciech Ambrosius, Bogusława Luzak, M. Różalski, Radosław Kaźmierski, Michał Michalak and Jacek Golański. Their work appears in journals such as International Journal of Molecular Sciences, Thrombosis and Haemostasis and Sleep Medicine Reviews.

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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