Monika Szeliga

1.4k citations
33 papers · 1.1k indexed · h-index 18
Topics
Cancer, Hypoxia, and Metabolism (14 papers)Amino Acid Enzymes and Metabolism (8 papers)Glioma Diagnosis and Treatment (7 papers)
Partner nations
PolandSpainNetherlands

In The Last Decade

Monika Szeliga

33 papers receiving 1.1k citations

Peers

Monika Szeliga
Comparison fields: 5 of 98
  • Molecular Biology 644
  • Cancer Research 413
  • Organic Chemistry 148
  • Genetics 137
  • Biochemistry 107
Replace Eugenia M. Yazlovitskaya with:
Eugenia M. Yazlovitskaya United States
Kristina M. Cook Australia
Yongbo Hu United States
Nancy A. Sharkey United States
Kirk Tanner United States
Denis V. Titov United States
Sonia Martı́nez Spain
María A. Frías Argentina
Hiroaki Chiba Japan
Jessica K. Gagnon United States
Monika Szeliga relative to Eugenia M. Yazlovitskaya United States Eugenia M. Yazlovitskaya's profile →
Citations per field
00.5×1.5×2.2×
Eugenia M. Yazlovitskaya · 1×
Citations per year

Countries citing papers authored by Monika Szeliga

Since Specialization
Citations

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

Fields of papers citing papers by Monika Szeliga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Szeliga

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Szeliga. A scholar is included among the top collaborators of Monika Szeliga 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 Monika Szeliga. Monika Szeliga 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 5
2 2
3 9
4 11
5 4
6 14
7 11
8 77
9 10
10 15
11 5
12 22
13 39
14 43
15 47
16 19
17 66
18 55
19 130
20 44

About Monika Szeliga

Monika Szeliga is a scholar working on Biochemistry, Cancer Research and Genetics, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Amino Acid Enzymes and Metabolism (8 papers) and Glioma Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (413 citations), Biochemistry (107 citations) and Genetics (137 citations). Monika Szeliga has collaborated with scholars based in Poland, Spain and Netherlands. Frequent co-authors include Marta Obara‐Michlewska, Jan Albrecht, Javier Márquez, Ewa Matyja, Radosław Rola, Wojciech Hilgier, Carolina Lobo, Francisco J. Alonso, Andrzej Niewiadomy and Paweł Kowalczyk. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Neurochemistry.

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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