Maša Ždralević

1.4k citations
27 papers · 1.0k indexed · h-index 14
Topics
Mitochondrial Function and Pathology (9 papers)Cancer, Hypoxia, and Metabolism (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Physiology
Partner nations
ItalyFranceMontenegro

In The Last Decade

Maša Ždralević

26 papers receiving 1.0k citations

Peers

Maša Ždralević
Comparison fields: 5 of 99
  • Molecular Biology 812
  • Cancer Research 448
  • Biomedical Engineering 140
  • Oncology 97
  • Pulmonary and Respiratory Medicine 85
Replace Rosemary Yu with:
Rosemary Yu Sweden
Ling Shuai China
Pan Tong China
Wenwen Wei China
Erhu Zhao China
Hyang Sook Yoo United States
Nicole Doudican United States
Mohamed Elgendy Italy
Marianna Halasi United States
Maša Ždralević relative to Rosemary Yu Sweden Rosemary Yu's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Maša Ždralević

Since Specialization
Citations

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

Fields of papers citing papers by Maša Ždralević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maša Ždralević

This figure shows the co-authorship network connecting the top 25 collaborators of Maša Ždralević. A scholar is included among the top collaborators of Maša Ždralević 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 Maša Ždralević. Maša Ždralević 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 10
2 2
3 7
4 4
5 1
6 114
7 6
8 3
9 136
10 13
11 186
12 75
13 35
14 11
15 25
16 8
17 37
18 144
19 54
20 5

About Maša Ždralević

Maša Ždralević is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Cancer Research (448 citations), Aging (24 citations) and Molecular Biology (812 citations). Maša Ždralević has collaborated with scholars based in Italy, France and Montenegro. Frequent co-authors include Jacques Pouysségur, Milica Vučetić, Sergio Giannattasio, Nicoletta Guaragnella, Ersilia Marra, Scott K. Parks, Ibtissam Marchiq, Shamir Cassim, Jérôme Durivault and Pascale Bayer. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Physiology.

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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