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.
Compact high-quality CdSe–CdS core–shell nanocrystals with narrow emission linewidths and suppressed blinking
20131.2k citationsOu Chen, Jing Zhao et al.Nature Materialsprofile →
Multistage nanoparticle delivery system for deep penetration into tumor tissue
2011895 citationsCliff Wong, Triantafyllos Stylianopoulos et al.Proceedings of the National Academy of Sciencesprofile →
A Nanoparticle Size Series for In Vivo Fluorescence Imaging
2010288 citationsZoran Popović, Wenhao Liu et al.Angewandte Chemie International Editionprofile →
Avidin as a model for charge driven transport into cartilage and drug delivery for treating early stage post-traumatic osteoarthritis
2013173 citationsAmbika G. Bajpayee, Cliff Wong et al.Biomaterialsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Cliff Wong'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 Cliff Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliff Wong more than expected).
This network shows the impact of papers produced by Cliff Wong. 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 Cliff Wong. The network helps show where Cliff Wong may publish in the future.
Co-authorship network of co-authors of Cliff Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Cliff Wong.
A scholar is included among the top collaborators of Cliff Wong 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 Cliff Wong. Cliff Wong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bajpayee, Ambika G., Cliff Wong, Moungi G. Bawendi, Eliot H. Frank, & Alan J. Grodzinsky. (2013). Avidin as a model for charge driven transport into cartilage and drug delivery for treating early stage post-traumatic osteoarthritis. Biomaterials. 35(1). 538–549.173 indexed citations breakdown →
4.
Chen, Ou, Jing Zhao, Vikash P. Chauhan, et al.. (2013). Compact high-quality CdSe–CdS core–shell nanocrystals with narrow emission linewidths and suppressed blinking. Nature Materials. 12(5). 445–451.1189 indexed citations breakdown →
5.
Chen, Ou, Jing Zhao, Vikash P. Chauhan, et al.. (2013). Compact high-quality CdSe/CdS core/shell nanocrystals with narrow emission linewidths and suppressed blinking. DSpace@MIT (Massachusetts Institute of Technology).9 indexed citations
6.
Stylianopoulos, Triantafyllos, Cliff Wong, Moungi G. Bawendi, Rakesh K. Jain, & Dai Fukumura. (2012). Multistage Nanoparticles for Improved Delivery into Tumor Tissue. Methods in enzymology on CD-ROM/Methods in enzymology. 508. 109–130.46 indexed citations
Wong, Cliff, Triantafyllos Stylianopoulos, Jian Cui, et al.. (2011). Multistage nanoparticle delivery system for deep penetration into tumor tissue. Proceedings of the National Academy of Sciences. 108(6). 2426–2431.895 indexed citations breakdown →
9.
Popović, Zoran, Wenhao Liu, Vikash P. Chauhan, et al.. (2010). A Nanoparticle Size Series for In Vivo Fluorescence Imaging. Angewandte Chemie International Edition. 49(46). 8649–8652.288 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.