Marija Vukomanović

1.8k citations
63 papers · 1.4k indexed · h-index 25

Marija Vukomanović

61 papers receiving 1.4k citations

Peers

Marija Vukomanović
Comparison fields: 5 of 117
  • Biomaterials 326
  • Molecular Medicine 103
  • Biomedical Engineering 632
  • Renewable Energy, Sustainability and the Environment 188
  • Pharmaceutical Science 70
Replace Yanbo Zhang with:
Yanbo Zhang China
Christopher D. McTiernan Canada
Thi Tuong Vy Phan South Korea
Thomas J. Webster United States
Dayane Batista Tada Brazil
Jingzhe Xue China
Chaoliang Zhang China
Yuzheng Wu China
Blanca González Spain
Alexandra Cătălina Bîrcă Romania
Marija Vukomanović relative to Yanbo Zhang China Yanbo Zhang's profile →
Citations per field
00.5×1.5×2.2×
Yanbo Zhang · 1×
Citations per year

Countries citing papers authored by Marija Vukomanović

Since Specialization
Citations

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

Fields of papers citing papers by Marija Vukomanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marija Vukomanović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marija Vukomanović Line = papers co-authored together Marija Vukomanović links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20252
4 20243
5 202414
6 202399
7 20237
8 20234
9 20229
10 202211
11 20221
12 202221
13 202125
14 202113
15 202165
16 202110
17 202124
18 202010
19 201648
20 20119

About Marija Vukomanović

Marija Vukomanović is a scholar working on Molecular Medicine, Biomaterials and Biomedical Engineering, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (22 papers), biodegradable polymer synthesis and properties (12 papers), Hydrogels: synthesis, properties, applications (10 papers), Graphene and Nanomaterials Applications (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Nanoparticles: synthesis and applications (7 papers), 3D Printing in Biomedical Research (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Biomaterials (326 citations), Molecular Medicine (103 citations) and Biomedical Engineering (632 citations). Marija Vukomanović has collaborated with scholars based in Slovenia, Serbia and Spain. Frequent co-authors include Danilo Suvorov, Simonida Lj. Tomić, Mario Kurtjak, Srečo D. Škapin, Marija M. Babić, Jasmina Nikodinović‐Runić, Dragan Uskoković, Matjaž Spreitzer, Jovana S. Vuković and Eduard Torrents. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports and Journal of Materials Chemistry.

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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