Razmara Nizak

653 total citations
9 papers, 472 citations indexed

About

Razmara Nizak is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Razmara Nizak has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Razmara Nizak's work include Osteoarthritis Treatment and Mechanisms (4 papers), Advanced MRI Techniques and Applications (3 papers) and Lanthanide and Transition Metal Complexes (2 papers). Razmara Nizak is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (4 papers), Advanced MRI Techniques and Applications (3 papers) and Lanthanide and Transition Metal Complexes (2 papers). Razmara Nizak collaborates with scholars based in Netherlands, United States and Germany. Razmara Nizak's co-authors include Ineke Slaper‐Cortenbach, Luciënne A. Vonk, Tommy S. de Windt, Mattie H.P. van Rijen, Daniël B.F. Saris, Wouter J.A. Dhert, Roel A. de Weger, Marcel P. H. van den Broek, Daniël B.F. Saris and Koen Willemsen and has published in prestigious journals such as Stem Cells, European Radiology and NMR in Biomedicine.

In The Last Decade

Razmara Nizak

9 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Razmara Nizak Netherlands 6 222 189 145 129 96 9 472
Dong‐Sik Chae South Korea 12 117 0.5× 166 0.9× 230 1.6× 96 0.7× 54 0.6× 42 564
Luís Freitas Mendes Belgium 10 160 0.7× 141 0.7× 273 1.9× 95 0.7× 59 0.6× 14 494
Aillette Mulet‐Sierra Canada 16 340 1.5× 398 2.1× 208 1.4× 200 1.6× 134 1.4× 35 770
Zhiyao Liao China 11 188 0.8× 155 0.8× 232 1.6× 49 0.4× 71 0.7× 14 535
Jan Philipp Krüger Germany 14 281 1.3× 306 1.6× 183 1.3× 108 0.8× 329 3.4× 27 739
Pinxue Li China 10 208 0.9× 151 0.8× 232 1.6× 51 0.4× 72 0.8× 20 528
Simon F. Carroll Ireland 10 237 1.1× 203 1.1× 264 1.8× 67 0.5× 78 0.8× 13 537
Daiki Murata Japan 13 154 0.7× 211 1.1× 368 2.5× 143 1.1× 68 0.7× 30 624
Madalyn R. Fritch United States 11 167 0.8× 118 0.6× 217 1.5× 51 0.4× 50 0.5× 14 486
Magdalena Richter Poland 16 265 1.2× 152 0.8× 174 1.2× 111 0.9× 56 0.6× 39 650

Countries citing papers authored by Razmara Nizak

Since Specialization
Citations

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

Fields of papers citing papers by Razmara Nizak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Razmara Nizak

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

All Works

9 of 9 papers shown
1.
Nizak, Razmara, et al.. (2020). In vivo biochemical assessment of cartilage with gagCEST MRI: Correlation with cartilage properties. NMR in Biomedicine. 34(3). e4463–e4463. 8 indexed citations
2.
Willemsen, Koen, Razmara Nizak, Herke Jan Noordmans, et al.. (2019). Challenges in the design and regulatory approval of 3D-printed surgical implants: a two-case series. The Lancet Digital Health. 1(4). e163–e171. 87 indexed citations
3.
Nizak, Razmara, et al.. (2018). Detection of early cartilage damage: feasibility and potential of gagCEST imaging at 7T. European Radiology. 28(7). 2874–2881. 34 indexed citations
4.
Windt, Tommy S. de, Luciënne A. Vonk, Ineke Slaper‐Cortenbach, et al.. (2017). Allogeneic MSCs and Recycled Autologous Chondrons Mixed in a One-Stage Cartilage Cell Transplantion: A First-in-Man Trial in 35 Patients. Stem Cells. 35(8). 1984–1993. 99 indexed citations
5.
Nizak, Razmara, et al.. (2017). Osteochondral lesion depth on MRI can help predict the need for a sandwich procedure. European Journal of Radiology. 90. 245–249. 1 indexed citations
7.
Nizak, Razmara, Sai‐Chuen Fu, Kevin Ki‐Wai Ho, et al.. (2016). From the printer: Potential of three-dimensional printing for orthopaedic applications. Journal of Orthopaedic Translation. 6. 42–49. 62 indexed citations
8.
Windt, Tommy S. de, Luciënne A. Vonk, Ineke Slaper‐Cortenbach, et al.. (2016). Allogeneic Mesenchymal Stem Cells Stimulate Cartilage Regeneration and Are Safe for Single-Stage Cartilage Repair in Humans upon Mixture with Recycled Autologous Chondrons. Stem Cells. 35(1). 256–264. 176 indexed citations
9.
Nizak, Razmara, et al.. (2013). Volume assessment of the greater omentum for autologous breast reconstruction planning. European Journal of Surgical Oncology. 39(5). 474–475. 2 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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