José M. A. Hendriks

663 total citations
11 papers, 516 citations indexed

About

José M. A. Hendriks is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, José M. A. Hendriks has authored 11 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Oncology. Recurrent topics in José M. A. Hendriks's work include TGF-β signaling in diseases (6 papers), Bone Metabolism and Diseases (5 papers) and Mesenchymal stem cell research (2 papers). José M. A. Hendriks is often cited by papers focused on TGF-β signaling in diseases (6 papers), Bone Metabolism and Diseases (5 papers) and Mesenchymal stem cell research (2 papers). José M. A. Hendriks collaborates with scholars based in Netherlands, United States and Australia. José M. A. Hendriks's co-authors include Koen J. Dechering, E J van Zoelen, Wiebe Olijve, Wilma T. Steegenga, E.J.J. van Zoelen, Christine L. Mummery, A. Feijen, Isabel Duarte, Bart Vaes and Ana M. Sotoca and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Bone and Mineral Research.

In The Last Decade

José M. A. Hendriks

11 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José M. A. Hendriks Netherlands 9 353 86 71 69 68 11 516
Hossen Mohammad Jamil Bangladesh 4 290 0.8× 65 0.8× 107 1.5× 83 1.2× 61 0.9× 6 502
Hiroko Meguro Japan 3 355 1.0× 53 0.6× 75 1.1× 88 1.3× 51 0.8× 4 525
Sin‐Hye Oh South Korea 12 212 0.6× 61 0.7× 106 1.5× 62 0.9× 34 0.5× 24 445
Gwan-Shik Kim South Korea 10 342 1.0× 111 1.3× 58 0.8× 130 1.9× 47 0.7× 11 570
Kaikai Shi China 9 370 1.0× 221 2.6× 73 1.0× 65 0.9× 71 1.0× 11 526
Peggy Benisch Germany 6 251 0.7× 56 0.7× 30 0.4× 87 1.3× 140 2.1× 7 444
Adel Ersek United Kingdom 8 242 0.7× 45 0.5× 73 1.0× 102 1.5× 120 1.8× 15 514
Shoko Onodera Japan 15 319 0.9× 33 0.4× 64 0.9× 65 0.9× 73 1.1× 45 652
Jianzhong Xu China 10 209 0.6× 46 0.5× 100 1.4× 68 1.0× 44 0.6× 16 370
Jelena Kocić Serbia 12 285 0.8× 87 1.0× 30 0.4× 86 1.2× 182 2.7× 20 558

Countries citing papers authored by José M. A. Hendriks

Since Specialization
Citations

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

Fields of papers citing papers by José M. A. Hendriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. A. Hendriks. 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 José M. A. Hendriks. The network helps show where José M. A. Hendriks may publish in the future.

Co-authorship network of co-authors of José M. A. Hendriks

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

All Works

11 of 11 papers shown
1.
Bao, Min, et al.. (2017). Adaptation trajectories during adhesion and spreading affect future cell states. Scientific Reports. 7(1). 12308–12308. 7 indexed citations
2.
Jaspers, Maarten, José M. A. Hendriks, Nicholas A. Kurniawan, et al.. (2016). Fibrin-fiber architecture influences cell spreading and differentiation. Cell Adhesion & Migration. 10(5). 495–504. 32 indexed citations
3.
4.
Sotoca, Ana M., et al.. (2014). MicroRNA miR-378 promotes BMP2-induced osteogenic differentiation of mesenchymal progenitor cells. BMC Molecular Biology. 15(1). 1–1. 64 indexed citations
5.
6.
Hannink, Gerjon, Ester Piek, José M. A. Hendriks, et al.. (2008). Biological effects of rinsing morsellised bone grafts before and after impaction. International Orthopaedics. 33(3). 861–866. 2 indexed citations
7.
Vaes, Bart, Patricia Ducy, Anneke M. Sijbers, et al.. (2006). Microarray analysis on Runx2-deficient mouse embryos reveals novel Runx2 functions and target genes during intramembranous and endochondral bone formation. Bone. 39(4). 724–738. 41 indexed citations
8.
Steegenga, Wilma T., et al.. (2004). Regulation of Notch signaling genes during BMP2-induced differentiation of osteoblast precursor cells. Biochemical and Biophysical Research Communications. 320(1). 100–107. 65 indexed citations
9.
Dechering, Koen J., A. Feijen, José M. A. Hendriks, et al.. (2004). Identification of Novel Regulators Associated With Early-Phase Osteoblast Differentiation. Journal of Bone and Mineral Research. 19(6). 947–958. 78 indexed citations
10.
Vaes, Bart, Koen J. Dechering, A. Feijen, et al.. (2002). Comprehensive Microarray Analysis of Bone Morphogenetic Protein 2-Induced Osteoblast Differentiation Resulting in the Identification of Novel Markers for Bone Development. Journal of Bone and Mineral Research. 17(12). 2106–2118. 76 indexed citations
11.

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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