Maja Tomičić

3.7k total citations
83 papers, 3.0k citations indexed

About

Maja Tomičić is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Maja Tomičić has authored 83 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 22 papers in Oncology and 14 papers in Hematology. Recurrent topics in Maja Tomičić's work include DNA Repair Mechanisms (27 papers), Cancer-related Molecular Pathways (15 papers) and Cell death mechanisms and regulation (10 papers). Maja Tomičić is often cited by papers focused on DNA Repair Mechanisms (27 papers), Cancer-related Molecular Pathways (15 papers) and Cell death mechanisms and regulation (10 papers). Maja Tomičić collaborates with scholars based in Germany, Croatia and United States. Maja Tomičić's co-authors include Bernd Kaina, Markus Christmann, Wynand P. Roos, Beate Köberle, Dorthe Aasland, R Thust, Thomas Efferth, Mirza Bojić, Rolf Rauh and Sabine Grösch and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Oncogene.

In The Last Decade

Maja Tomičić

80 papers receiving 2.9k citations

Peers

Maja Tomičić
Comparison fields: 5 of 125
  • Molecular Biology 1.9k
  • Oncology 783
  • Cancer Research 614
  • Genetics 268
  • Genetics 235
Yue Huang China
Vassilis Zoumpourlis Greece
In‐Chul Park South Korea
William L. Blalock Italy
Emilia Wiecheć Sweden
Hyog Young Kwon South Korea
Emanuela Grassilli Italy
Adriana Borriello Italy
Megan Cully United Kingdom
Subbareddy Maddika India
Yue Huang China View profile →
Citations per field, relative to Maja Tomičić
Maja Tomičić · 1×
Citations per year, relative to Maja Tomičić
Maja Tomičić · 1×

Countries citing papers authored by Maja Tomičić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Tomičić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Tomičić

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Tomičić. A scholar is included among the top collaborators of Maja Tomičić 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 Tomičić. Maja Tomičić 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
# Work Indexed citations
1 3
2 3
3 1
4 11
5 24
6 19
7 25
8 30
9 51
10 147
11 40
12
[Indications and contraindications for platelet transfusions in patients with thrombocytopenia].
1
13 52
14
INDIKACIJE I KONTRAINDIKACIJE ZA PRIMJENU TROMBOCITNIH TRANSFUZIJA U BOLESNIKA S TROMBOCITOPENIJOM
1
15 305
16 54
17
5, 10-Methylenetetrahydrofolate reductase (MTHFR) 677 C --> T genetic polymorphism in 228 Croatian volunteers.
10
18 81
19 46
20
[Nationally produced 153SmEDTMP in the palliative treatment of metastatic bone cancer pain].
2

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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