Daniel Toben

1.1k total citations
10 papers, 873 citations indexed

About

Daniel Toben is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Daniel Toben has authored 10 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Daniel Toben's work include Bone Metabolism and Diseases (5 papers), Bone fractures and treatments (4 papers) and Orthopaedic implants and arthroplasty (2 papers). Daniel Toben is often cited by papers focused on Bone Metabolism and Diseases (5 papers), Bone fractures and treatments (4 papers) and Orthopaedic implants and arthroplasty (2 papers). Daniel Toben collaborates with scholars based in Germany, United States and France. Daniel Toben's co-authors include Georg N. Duda, Hanna Schell, Katharina Schmidt‐Bleek, Gerhard Schmidmaier, Timo Gaber, Carsten Perka, Frank Buttgereit, Paula Kolar, Jasmin Lienau and Thaqif El Khassawna and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Journal of Bone and Mineral Research.

In The Last Decade

Daniel Toben

10 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Toben Germany 9 389 251 215 183 147 10 873
Jennifer L. Fitch United States 8 412 1.1× 272 1.1× 273 1.3× 162 0.9× 131 0.9× 8 957
M. Ete Chan United States 20 324 0.8× 320 1.3× 158 0.7× 236 1.3× 209 1.4× 34 1.2k
Qinglin Kang China 21 315 0.8× 379 1.5× 231 1.1× 171 0.9× 74 0.5× 75 1.1k
Anja Peters Germany 12 248 0.6× 339 1.4× 283 1.3× 103 0.6× 116 0.8× 18 892
Paula Kolar Germany 13 267 0.7× 260 1.0× 174 0.8× 96 0.5× 129 0.9× 17 1.0k
Akira Nabeshima Japan 18 435 1.1× 353 1.4× 127 0.6× 197 1.1× 177 1.2× 49 1.2k
Yohei Kawakami Japan 22 342 0.9× 569 2.3× 146 0.7× 218 1.2× 118 0.8× 45 1.3k
Michael I. Dishowitz United States 11 343 0.9× 206 0.8× 161 0.7× 110 0.6× 78 0.5× 12 845
Chikahisa Higuchi Japan 17 487 1.3× 232 0.9× 90 0.4× 103 0.6× 187 1.3× 32 1.1k
Kathy Mikulec Australia 19 322 0.8× 263 1.0× 236 1.1× 210 1.1× 214 1.5× 46 919

Countries citing papers authored by Daniel Toben

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Toben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Toben

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

All Works

10 of 10 papers shown
1.
Mehta, Minesh P., Mark Heyland, Daniel Toben, & Georg N. Duda. (2013). Microstructure and homogeneity of distribution of mineralised struts determine callus strength. European Cells and Materials. 25. 366–379. 8 indexed citations
2.
Khassawna, Thaqif El, Daniel Toben, Mateusz Kolanczyk, et al.. (2012). Deterioration of fracture healing in the mouse model of NF1 long bone dysplasia. Bone. 51(4). 651–660. 21 indexed citations
3.
Hesse, Eric, Hiroaki Saito, Riku Kiviranta, et al.. (2011). Zfp521 controls bone mass by HDAC3-dependent attenuation of Runx2 activity. The Journal of Experimental Medicine. 208(1). i1–i1. 5 indexed citations
4.
Kolar, Paula, Katharina Schmidt‐Bleek, Hanna Schell, et al.. (2010). The Early Fracture Hematoma and Its Potential Role in Fracture Healing. Tissue Engineering Part B Reviews. 16(4). 427–434. 304 indexed citations
5.
Hesse, Eric, Hiroaki Saito, Riku Kiviranta, et al.. (2010). Zfp521 controls bone mass by HDAC3-dependent attenuation of Runx2 activity. The Journal of Cell Biology. 191(7). 1271–1283. 88 indexed citations
6.
Toben, Daniel, Minesh P. Mehta, Jan-Erik Hoffmann, et al.. (2010). Fracture healing is accelerated in the absence of the adaptive immune system. Bone. 47. S105–S105. 14 indexed citations
7.
Toben, Daniel, Thaqif El Khassawna, Manav Mehta, et al.. (2010). Fracture healing is accelerated in the absence of the adaptive immune system. Journal of Bone and Mineral Research. 26(1). 113–124. 186 indexed citations
8.
Peters, Anja, Daniel Toben, Jasmin Lienau, et al.. (2009). Locally Applied Osteogenic Predifferentiated Progenitor Cells Are More Effective Than Undifferentiated Mesenchymal Stem Cells in the Treatment of Delayed Bone Healing. Tissue Engineering Part A. 15(10). 2947–2954. 47 indexed citations
9.
10.
Kakar, Sanjeev, Thomas A. Einhorn, Siddharth R. Vora, et al.. (2007). Enhanced Chondrogenesis and Wnt Signaling in PTH-Treated Fractures. Journal of Bone and Mineral Research. 22(12). 1903–1912. 181 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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