Theodore Miclau

6.1k total citations · 1 hit paper
75 papers, 4.7k citations indexed

About

Theodore Miclau is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Theodore Miclau has authored 75 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Epidemiology, 30 papers in Surgery and 23 papers in Molecular Biology. Recurrent topics in Theodore Miclau's work include Bone fractures and treatments (37 papers), Bone Metabolism and Diseases (15 papers) and Orthopaedic implants and arthroplasty (11 papers). Theodore Miclau is often cited by papers focused on Bone fractures and treatments (37 papers), Bone Metabolism and Diseases (15 papers) and Orthopaedic implants and arthroplasty (11 papers). Theodore Miclau collaborates with scholars based in United States, Germany and Canada. Theodore Miclau's co-authors include Ralph Marcucio, Chelsea S. Bahney, Jill A. Helms, Diane Hu, Céline Colnot, Cristin M. Ferguson, Chuanyong Lu, Laurence E. Dahners, Matthew L. Edin and Gayle E. Lester and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Theodore Miclau

72 papers receiving 4.6k citations

Hit Papers

Cellular biology of fracture healing 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore Miclau United States 34 1.9k 1.5k 1.4k 884 633 75 4.7k
Sanjeev Kakar United States 35 3.1k 1.7× 1.1k 0.7× 1.1k 0.8× 549 0.6× 801 1.3× 249 5.3k
Hanna Schell Germany 32 1.9k 1.0× 974 0.7× 1.4k 1.0× 1.3k 1.5× 397 0.6× 55 4.1k
Philipp Leucht United States 33 1.3k 0.7× 1.7k 1.2× 658 0.5× 522 0.6× 264 0.4× 143 4.0k
Richard W. Kang United States 28 2.1k 1.1× 972 0.7× 590 0.4× 389 0.4× 1.1k 1.7× 60 3.9k
Takehiko Matsushita Japan 39 3.0k 1.6× 1.1k 0.7× 514 0.4× 702 0.8× 1.1k 1.7× 296 5.7k
Arvydas Ūsas United States 43 2.6k 1.4× 2.3k 1.6× 666 0.5× 1.3k 1.5× 1.1k 1.7× 85 6.2k
Reinhard Gruber Austria 46 1.4k 0.8× 1.5k 1.0× 312 0.2× 1.6k 1.8× 805 1.3× 340 7.7k
L. C. Gerstenfeld United States 32 818 0.4× 1.9k 1.3× 624 0.4× 984 1.1× 1.3k 2.0× 60 4.4k
Johnny Huard United States 41 2.4k 1.3× 2.9k 2.0× 515 0.4× 1.0k 1.1× 821 1.3× 172 6.0k
Takanobu Nakase Japan 32 1.0k 0.5× 1.4k 1.0× 491 0.3× 767 0.9× 1.1k 1.7× 86 3.8k

Countries citing papers authored by Theodore Miclau

Since Specialization
Citations

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

Fields of papers citing papers by Theodore Miclau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore Miclau

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

All Works

20 of 20 papers shown
1.
Working, Zachary M., Justin E. Hellwinkel, Kaitlyn E. Whitney, et al.. (2025). Efficacy of biomarkers in the endochondral phase of fracture repair and healing in long bones: A clinical observational studys. PLoS Medicine. 22(8). e1004640–e1004640.
3.
Minehara, Hiroaki, Akihiro Maruo, Adriano Braile, et al.. (2023). Open fractures: Current treatment perspective. SHILAP Revista de lepidopterología. 6(3S). e240–e240. 7 indexed citations
4.
Clark, Daniel, Frank Yang, Diane Hu, et al.. (2020). Age‐related changes to macrophages are detrimental to fracture healing in mice. Aging Cell. 19(3). e13112–e13112. 94 indexed citations
5.
Wong, Sarah Anne, Diane Hu, Charles Lam, et al.. (2020). Chondrocyte‐to‐osteoblast transformation in mandibular fracture repair. Journal of Orthopaedic Research®. 39(8). 1622–1632. 23 indexed citations
6.
Foster, Andrew L., T. Fintan Moriarty, Charalampos G. Zalavras, et al.. (2020). The influence of biomechanical stability on bone healing and fracture-related infection: the legacy of Stephan Perren.. Injury. 52(1). 43–52. 90 indexed citations
7.
Morioka, Kazuhito, Amity Lin, Daniel Clark, et al.. (2019). Differential fracture response to traumatic brain injury suggests dominance of neuroinflammatory response in polytrauma. Scientific Reports. 9(1). 12199–12199. 28 indexed citations
8.
Bahney, Chelsea S., Robert L. Zondervan, Patrick Allison, et al.. (2018). Cellular biology of fracture healing. Journal of Orthopaedic Research®. 37(1). 35–50. 386 indexed citations breakdown →
9.
Verrier, Sophie, Mauro Alini, Eben Alsberg, et al.. (2016). Tissue engineering and regenerative approaches to improving the healing of large bone defects. European Cells and Materials. 32. 87–110. 87 indexed citations
10.
Nethercott, Hubert E., Amit K. Jha, Wesley M. Jackson, et al.. (2015). Tissue engineering strategies for promoting vascularized bone regeneration. Bone. 83. 197–209. 155 indexed citations
11.
Miclau, Theodore, et al.. (2014). Modulation of Macrophage Activity During Fracture Repair Has Differential Effects in Young Adult and Elderly Mice. Journal of Orthopaedic Trauma. 28(Supplement 1). S10–S14. 48 indexed citations
12.
13.
Lu, Chuanyong, Zhiqing Xing, Xiaodong Wang, et al.. (2012). Anti-inflammatory treatment increases angiogenesis during early fracture healing. Archives of Orthopaedic and Trauma Surgery. 132(8). 1205–1213. 17 indexed citations
14.
Hu, Diane, Chuanyong Lu, Michael Barnett, et al.. (2009). Absence of beta3 integrin accelerates early skeletal repair. Journal of Orthopaedic Research®. 28(1). 32–37. 10 indexed citations
15.
Lu, Chuanyong, et al.. (2009). Recombinant human bone morphogenetic protein‐7 enhances fracture healing in an ischemic environment. Journal of Orthopaedic Research®. 28(5). 687–696. 14 indexed citations
16.
Firoozabadi, Reza, Saam Morshed, Klaus Engelke, et al.. (2008). Qualitative and Quantitative Assessment of Bone Fragility and Fracture Healing Using Conventional Radiography and Advanced Imaging Technologies-Focus on Wrist Fracture. Journal of Orthopaedic Trauma. 22(Supplement 8). S83–S90. 23 indexed citations
17.
Lu, Chuanyong, Mark D. Rollins, Huagang Hou, et al.. (2008). Tibial fracture decreases oxygen levels at the site of injury.. PubMed. 28. 14–21. 28 indexed citations
18.
Miclau, Theodore & Jill A. Helms. (2000). Molecular aspects of fracture healing. Current Opinion in Orthopedics. 11(5). 367–371. 5 indexed citations
20.
Dirschl, Douglas R., et al.. (1998). High Pressure Pulsatile Lavage Irrigation of Intraarticular Fractures: Effects on Fracture Healing. Journal of Orthopaedic Trauma. 12(7). 460–463. 73 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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