Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Rapid casting of patterned vascular networks for perfusable engineered three-dimensional tissues
20121.5k citationsJordan S. Miller, Kelly R. Stevens et al.Nature Materialsprofile →
Control of Stem Cell Fate by Physical Interactions with the Extracellular Matrix
20091.5k citationsFarshid Guilak, Daniel M. Cohen et al.Cell stem cellprofile →
Countries citing papers authored by Daniel M. Cohen
Since
Specialization
Citations
This map shows the geographic impact of Daniel M. Cohen'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 M. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Cohen more than expected).
This network shows the impact of papers produced by Daniel M. Cohen. 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 M. Cohen. The network helps show where Daniel M. Cohen may publish in the future.
Co-authorship network of co-authors of Daniel M. Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Cohen.
A scholar is included among the top collaborators of Daniel M. Cohen 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 M. Cohen. Daniel M. Cohen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Khetan, Sudhir, Murat Güvendiren, Wesley R. Legant, et al.. (2013). Degradation-mediated cellular traction directs stem cell fate in covalently crosslinked three-dimensional hydrogels. Nature Materials. 12(5). 458–465.951 indexed citations breakdown →
7.
Miller, Jordan S., Kelly R. Stevens, Michael T. Yang, et al.. (2012). Rapid casting of patterned vascular networks for perfusable engineered 3D tissues. DSpace@MIT (Massachusetts Institute of Technology).16 indexed citations
8.
Miller, Jordan S., Kelly R. Stevens, Michael T. Yang, et al.. (2012). Rapid casting of patterned vascular networks for perfusable engineered three-dimensional tissues. Nature Materials. 11(9). 768–774.1504 indexed citations breakdown →
Liu, Zhijun, John L. Tan, Daniel M. Cohen, et al.. (2010). Mechanical tugging force regulates the size of cell–cell junctions. Proceedings of the National Academy of Sciences. 107(22). 9944–9949.554 indexed citations breakdown →
12.
Legant, Wesley R., Jordan S. Miller, Brandon L. Blakely, et al.. (2010). Measurement of mechanical tractions exerted by cells in three-dimensional matrices. Nature Methods. 7(12). 969–971.501 indexed citations breakdown →
13.
Guilak, Farshid, Daniel M. Cohen, Bradley T. Estes, et al.. (2009). Control of Stem Cell Fate by Physical Interactions with the Extracellular Matrix. Cell stem cell. 5(1). 17–26.1492 indexed citations breakdown →
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.