Maja Sirotković-Skerlev

424 citations
20 papers · 319 indexed · h-index 10
Topics
Cell Adhesion Molecules Research (5 papers)Cancer Cells and Metastasis (3 papers)Peptidase Inhibition and Analysis (3 papers)
Partner nations
CroatiaBelgium

In The Last Decade

Maja Sirotković-Skerlev

19 papers receiving 313 citations

Peers

Maja Sirotković-Skerlev
Comparison fields: 5 of 63
  • Molecular Biology 145
  • Cellular and Molecular Neuroscience 95
  • Oncology 81
  • Cancer Research 53
  • Immunology 47
Replace Hailian Shen with:
Hailian Shen China
Manisha Juneja Germany
Sonia M. Dubois France
Scott Ditch United States
Patricia Fernández‐Nogueira Spain
Fabrizio Giani Italy
Arend H. Sikkema Netherlands
Eun‐Jung Ann South Korea
Michael S. Lam United States
Pushuai Wen China
Maja Sirotković-Skerlev relative to Hailian Shen China Hailian Shen's profile →
Citations per field
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Hailian Shen · 1×
Citations per year

Countries citing papers authored by Maja Sirotković-Skerlev

Since Specialization
Citations

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

Fields of papers citing papers by Maja Sirotković-Skerlev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Sirotković-Skerlev. 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 Maja Sirotković-Skerlev. The network helps show where Maja Sirotković-Skerlev may publish in the future.

Co-authorship network of co-authors of Maja Sirotković-Skerlev

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Sirotković-Skerlev. A scholar is included among the top collaborators of Maja Sirotković-Skerlev 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 Maja Sirotković-Skerlev. Maja Sirotković-Skerlev 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 0
3 8
4 30
5 17
6
Sirtuins in tumorigenesis
3
7 7
8 2
9
Protumor effects of proinflammatory mediators in breast cancer
4
10 11
11 14
12 13
13 3
14 21
15 119
16
Tumor necrosis factor alpha and breast cancer
1
17 24
18
[Pathophysiology of ischaemia-reperfusion injury].
9
19
[Gastrointestinal stromal tumors (GIST)--a paradigm of successful targeted therapy of solid tumors].
2
20 30

About Maja Sirotković-Skerlev

Maja Sirotković-Skerlev is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Cancer Cells and Metastasis (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (95 citations), Cancer Research (53 citations) and Neurology (27 citations). Maja Sirotković-Skerlev has collaborated with scholars based in Croatia and Belgium. Frequent co-authors include Nina Barišić, Eva Nelis, Vincent Timmerman, Kristl G. Claeys, A. Löfgren, Peter De Jonghe, Damir Vrbanec, Šimun Križanac, Sanja Kapitanović and Krešimir Pavelić. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and Annals of Human 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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