Sanja Novak

683 citations
28 papers · 484 indexed · h-index 15
Topics
Mesenchymal stem cell research (6 papers)TGF-β signaling in diseases (6 papers)Bone fractures and treatments (6 papers)

In The Last Decade

Sanja Novak

27 papers receiving 483 citations

Peers

Sanja Novak
Comparison fields: 5 of 83
  • Molecular Biology 172
  • Genetics 91
  • Epidemiology 91
  • Surgery 70
  • Physiology 65
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Min Cui China
Masaki Horie Japan
Qiang Jie China
Luis Montecinos Chile
Huimin Hu China
Chang Hun Song South Korea
Yuko Noguchi Japan
Anthony J. Acton United States
Andreas Patsalos United States
Shufang Wu China
Sanja Novak relative to Min Cui China Min Cui's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Sanja Novak

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Novak. A scholar is included among the top collaborators of Sanja Novak 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 Sanja Novak. Sanja Novak 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 6
3 16
4 3
5 19
6 8
7 3
8 75
9 29
10 24
11 2
12 25
13 16
14 40
15 8
16
Hyperbaric oxygenation affects the mechanisms of acetylcholine-induced relaxation in diabetic rats.
8
17
ANTIOXIDATIVE AND ANTIDIABETIC EFFECTS OF NARINGIN AND CURCUMIN IN VITRO AND IN VIVO
5
18
Reduced dietary zinc and selenium levels impairs vascular function via oxidative stress in Sprague-Dawley rats aortas
1
19
Increasing selenium concentration in animal tissues by wheat agrofortification
1
20 8

About Sanja Novak

Sanja Novak is a scholar working on Genetics, Biochemistry and Orthopedics and Sports Medicine, having authored 28 papers that have together received 484 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), TGF-β signaling in diseases (6 papers) and Bone fractures and treatments (6 papers). The work is most often cited by research in Genetics (91 citations), Orthopedics and Sports Medicine (41 citations) and Nutrition and Dietetics (50 citations). Sanja Novak has collaborated with scholars based in United States, Croatia and New Zealand. Frequent co-authors include Ivo Kalajzić, Brya G. Matthews, Danka Grčević, Ines Drenjančević, Natalie K. Y. Wee, Martina Mihalj, Benjamin P. Sinder, Ye Cao, Ana Stupin and Zrinka Mihaljević. Their work appears in journals such as The Journal of Physiology, Stem Cells and Journal of Cellular 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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