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.
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
20093.3k citationsMitchell Guttman, Ido Amit et al.Natureprofile →
Treatment of Sickle Cell Anemia Mouse Model with iPS Cells Generated from Autologous Skin
20071.0k citationsJacob H. Hanna, Marius Wernig et al.Scienceprofile →
Genetic engineering of human pluripotent cells using TALE nucleases
2011894 citationsDirk Hockemeyer, Haoyi Wang et al.Nature Biotechnologyprofile →
Human embryonic stem cells with biological and epigenetic characteristics similar to those of mouse ESCs
2010639 citationsJacob H. Hanna, Albert W. Cheng et al.Proceedings of the National Academy of Sciencesprofile →
Direct Reprogramming of Terminally Differentiated Mature B Lymphocytes to Pluripotency
2008612 citationsJacob H. Hanna, Styliani Markoulaki et al.Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by John P. Cassady
Since
Specialization
Citations
This map shows the geographic impact of John P. Cassady'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 John P. Cassady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Cassady more than expected).
This network shows the impact of papers produced by John P. Cassady. 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 John P. Cassady. The network helps show where John P. Cassady may publish in the future.
Co-authorship network of co-authors of John P. Cassady
This figure shows the co-authorship network connecting the top 25 collaborators of John P. Cassady.
A scholar is included among the top collaborators of John P. Cassady 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 John P. Cassady. John P. Cassady is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Jong‐Pil, Christopher J. Lengner, Oktay Kirak, et al.. (2011). Reprogramming of postnatal neurons into induced pluripotent stem cells by defined factors. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Hockemeyer, Dirk, Haoyi Wang, Samira Kiani, et al.. (2011). Genetic engineering of human pluripotent cells using TALE nucleases. Nature Biotechnology. 29(8). 731–734.894 indexed citations breakdown →
11.
Hanna, Jacob H., Albert W. Cheng, Krishanu Saha, et al.. (2010). Human embryonic stem cells with biological and epigenetic characteristics similar to those of mouse ESCs. Proceedings of the National Academy of Sciences. 107(20). 9222–9227.639 indexed citations breakdown →
Guttman, Mitchell, Ido Amit, Manuel Garber, et al.. (2009). Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature. 458(7235). 223–227.3283 indexed citations breakdown →
Hanna, Jacob H., Styliani Markoulaki, Patrick Schorderet, et al.. (2008). Direct Reprogramming of Terminally Differentiated Mature B Lymphocytes to Pluripotency. Cell. 133(2). 250–264.612 indexed citations breakdown →
18.
Hanna, Jacob H., Marius Wernig, Styliani Markoulaki, et al.. (2007). Treatment of Sickle Cell Anemia Mouse Model with iPS Cells Generated from Autologous Skin. Science. 318(5858). 1920–1923.1038 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.