Luis Lima-Marques

513 total citations
7 papers, 444 citations indexed

About

Luis Lima-Marques is a scholar working on Biomedical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Luis Lima-Marques has authored 7 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 3 papers in Automotive Engineering and 3 papers in Materials Chemistry. Recurrent topics in Luis Lima-Marques's work include Bone Tissue Engineering Materials (6 papers), Titanium Alloys Microstructure and Properties (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Luis Lima-Marques is often cited by papers focused on Bone Tissue Engineering Materials (6 papers), Titanium Alloys Microstructure and Properties (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). Luis Lima-Marques collaborates with scholars based in Australia, Egypt and China. Luis Lima-Marques's co-authors include Dušan Lošić, Shaheer Maher, Tanya M. Monro, Heike Ebendorff‐Heidepriem, Gerald J. Atkins, Dongqing Yang, Andreas Evdokiou, Karan Gulati, David M. Findlay and Matthew Prideaux and has published in prestigious journals such as ACS Applied Materials & Interfaces, Journal of Materials Chemistry B and ACS Biomaterials Science & Engineering.

In The Last Decade

Luis Lima-Marques

7 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luis Lima-Marques Australia 6 270 148 81 79 72 7 444
Kuo-Yung Hung Taiwan 13 315 1.2× 232 1.6× 102 1.3× 40 0.5× 24 0.3× 41 526
Bryan W. Stuart United Kingdom 13 250 0.9× 87 0.6× 173 2.1× 38 0.5× 22 0.3× 25 393
Gengwei Jiang United States 10 204 0.8× 95 0.6× 69 0.9× 70 0.9× 13 0.2× 13 308
Malin Becker Netherlands 9 166 0.6× 84 0.6× 37 0.5× 39 0.5× 51 0.7× 19 297
B. Majhy India 8 266 1.0× 109 0.7× 75 0.9× 42 0.5× 25 0.3× 10 521
Evaldas Balčiūnas Lithuania 11 370 1.4× 37 0.3× 119 1.5× 14 0.2× 78 1.1× 24 460
E. V. Shesterikov Russia 13 344 1.3× 50 0.3× 131 1.6× 91 1.2× 31 0.4× 30 502
Sorin‐Ion Jinga Romania 12 246 0.9× 60 0.4× 133 1.6× 24 0.3× 19 0.3× 41 411
Saeid Esmaeili Iran 10 290 1.1× 25 0.2× 50 0.6× 97 1.2× 99 1.4× 13 368

Countries citing papers authored by Luis Lima-Marques

Since Specialization
Citations

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

Fields of papers citing papers by Luis Lima-Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Lima-Marques. 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 Luis Lima-Marques. The network helps show where Luis Lima-Marques may publish in the future.

Co-authorship network of co-authors of Luis Lima-Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Lima-Marques. A scholar is included among the top collaborators of Luis Lima-Marques 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 Luis Lima-Marques. Luis Lima-Marques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Maher, Shaheer, Asiri R. Wijenayaka, Luis Lima-Marques, et al.. (2021). Advancing of Additive-Manufactured Titanium Implants with Bioinspired Micro- to Nanotopographies. ACS Biomaterials Science & Engineering. 7(2). 441–450. 39 indexed citations
2.
Maher, Shaheer, Denver P. Linklater, Hadi Rastin, et al.. (2021). Advancing of 3D-Printed Titanium Implants with Combined Antibacterial Protection Using Ultrasharp Nanostructured Surface and Gallium-Releasing Agents. ACS Biomaterials Science & Engineering. 8(1). 314–327. 27 indexed citations
3.
Qin, Jie, Dongqing Yang, Shaheer Maher, et al.. (2018). Micro- and nano-structured 3D printed titanium implants with a hydroxyapatite coating for improved osseointegration. Journal of Materials Chemistry B. 6(19). 3136–3144. 75 indexed citations
4.
Maher, Shaheer, et al.. (2017). Engineering of Micro- to Nanostructured 3D-Printed Drug-Releasing Titanium Implants for Enhanced Osseointegration and Localized Delivery of Anticancer Drugs. ACS Applied Materials & Interfaces. 9(35). 29562–29570. 69 indexed citations
5.
Maher, Shaheer, Jie Qin, Karan Gulati, et al.. (2016). 3D printed titanium implants with nano-engineered surface titania nanotubes for localized drug delivery. Griffith Research Online (Griffith University, Queensland, Australia). 65. 2 indexed citations
6.
Gulati, Karan, Matthew Prideaux, Masakazu Kogawa, et al.. (2016). Anodized 3D-printed titanium implants with dual micro- and nano-scale topography promote interaction with human osteoblasts and osteocyte-like cells. Journal of Tissue Engineering and Regenerative Medicine. 11(12). 3313–3325. 86 indexed citations
7.
Ebendorff‐Heidepriem, Heike, et al.. (2014). 3D-printed extrusion dies: a versatile approach to optical material processing. Optical Materials Express. 4(8). 1494–1494. 146 indexed citations

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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