Travis J. Block

586 citations
14 papers · 464 · h-index 10

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Pluripotent Stem Cells Research 3
    • Connective Tissue Growth Factor Research 2
    • Mesenchymal stem cell research 5

Travis J. Block

12 papers receiving 456 citations

Peers

Travis J. Block
Comparison fields: 5 of 64
  • Genetics 176
  • Biomaterials 97
  • Urology 27
  • Surgery 184
  • Rheumatology 43
Replace Yunjoon Jung with:
Yunjoon Jung United States
Milos Marinkovic United States
Chris Halling Dreyer Denmark
Manijeh Khanmohammadi Iran
Juliane D. Glaeser United States
Shreeya Bakshi United States
Matthias Megges Germany
Vaughan Feisst New Zealand
Forum Shah United States
Mickael Deschepper France
Travis J. Block relative to Yunjoon Jung United States Yunjoon Jung's profile →
Citations per field
00.5×4.2×
Yunjoon Jung · 1×
Citations per year

Countries citing papers authored by Travis J. Block

Since Specialization
Citations

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

Fields of papers citing papers by Travis J. Block

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis J. Block. 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 Travis J. Block. The network helps show where Travis J. Block may publish in the future.

Co-authors

The 25 scholars most cited alongside Travis J. Block, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Travis J. Block Line = papers co-authored together Travis J. Block links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201793
2 201686
3 201568
4 201661
5 201852
6 202028
7 202025
8 202217
9 201711
10 202310
11 20169
12 20234
13 20250
14 20230

About Travis J. Block

Travis J. Block is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Surgery and Urology, having authored 14 papers that have together received 464 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Neuroscience and Neural Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Connective Tissue Growth Factor Research (2 papers), 3D Printing in Biomedical Research (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Genetics (176 citations), Biomaterials (97 citations), Urology (27 citations), Surgery (184 citations) and Rheumatology (43 citations). Travis J. Block has collaborated with scholars based in United States, China and India. Frequent co-authors include Milos Marinkovic, Xiao‐Dong Chen, David D. Dean, Junjie Wu, Qihong Li, Matthew A. Reilly, Exing Wang, Qiuxia Dai, Joachim Kohn and Yong Mao. Their work appears in journals such as Stem Cell Research & Therapy, Matrix Biology, Acta Biomaterialia, Scientific Reports and Current Osteoporosis Reports.

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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