Eva Tomaskovic‐Crook

2.8k citations
48 papers · 2.4k · h-index 21

Impact in

Papers in

Eva Tomaskovic‐Crook

47 papers receiving 2.3k citations

Peers

Eva Tomaskovic‐Crook
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 683
  • Biological Psychiatry 65
  • Surfaces, Coatings and Films 200
  • Behavioral Neuroscience 80
  • Biomaterials 286
Replace Carla Cunha with:
Carla Cunha Portugal
Zin Z. Khaing United States
Athar N. Malik United States
Jeremy M. Crook Australia
Marimélia Porcionatto Brazil
Shawn Lim United States
Yu Gu China
Chi Hun Kim South Korea
Li Yao United States
Terry Parker United Kingdom
Eva Tomaskovic‐Crook relative to Carla Cunha Portugal Carla Cunha's profile →
Citations per field
00.5×4.9×
Carla Cunha · 1×
Citations per year

Countries citing papers authored by Eva Tomaskovic‐Crook

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tomaskovic‐Crook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Tomaskovic‐Crook. 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 Eva Tomaskovic‐Crook. The network helps show where Eva Tomaskovic‐Crook may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Tomaskovic‐Crook, 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 Eva Tomaskovic‐Crook Line = papers co-authored together Eva Tomaskovic‐Crook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016337
2 2009253
3 2000206
4 2017202
5 2001193
6 2006155
7 2007134
8 201990
9 200484
10 200583
11 200883
12 201544
13 202042
14 199940
15 200036
16 201734
17 201834
18 202033
19 202031
20 202125

About Eva Tomaskovic‐Crook

Eva Tomaskovic‐Crook is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Surgery and Biomaterials, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), 3D Printing in Biomedical Research (18 papers), Pluripotent Stem Cells Research (14 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Bone Tissue Engineering Materials (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Dental Implant Techniques and Outcomes (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (683 citations), Biological Psychiatry (65 citations), Surfaces, Coatings and Films (200 citations), Behavioral Neuroscience (80 citations) and Biomaterials (286 citations). Eva Tomaskovic‐Crook has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jeremy M. Crook, Gordon G. Wallace, Brian Dean, David Copolov, Qi Gu, Erik W. Thompson, Jean Paul Thiery, Robert M. I. Kapsa, Yu Chen and Rodrigo Lozano. Their work appears in journals such as Advanced Healthcare Materials, Advanced Science, Cells, Biological Psychiatry and Acta Biomaterialia.

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.

Explore authors with similar magnitude of impact