Daniel T. Montoro

38 papers and 2.3k indexed citations i.

About

Daniel T. Montoro is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Daniel T. Montoro has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Genetics. Recurrent topics in Daniel T. Montoro’s work include Mesenchymal stem cell research (11 papers), Pluripotent Stem Cells Research (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Daniel T. Montoro is often cited by papers focused on Mesenchymal stem cell research (11 papers), Pluripotent Stem Cells Research (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Daniel T. Montoro collaborates with scholars based in United States, India and Italy. Daniel T. Montoro's co-authors include Michael T. Longaker, Mahru C. An, Ningzhe Zhang, Lisa Ellerby, Jeong S. Hyun, Derrick C. Wan, Geoffrey C. Gurtner, Min Lee, David Lo and Gary K. Scott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Daniel T. Montoro i

Fields of papers citing papers by Daniel T. Montoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel T. Montoro

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Montoro'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 T. Montoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Montoro more than expected).

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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