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.
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Countries citing papers authored by David A. Weitz
Since
Specialization
Citations
This map shows the geographic impact of David A. Weitz'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 David A. Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Weitz more than expected).
This network shows the impact of papers produced by David A. Weitz. 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 David A. Weitz. The network helps show where David A. Weitz may publish in the future.
Co-authorship network of co-authors of David A. Weitz
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Weitz.
A scholar is included among the top collaborators of David A. Weitz 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 David A. Weitz. David A. Weitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lei, Fengyang, Naiwen Cui, Chengxin Zhou, et al.. (2021). Single-cell RNA-seq reveals a dynamic shift of engrafted peripheral macrophages in the CNS towards a microglia signature.. Investigative Ophthalmology & Visual Science. 62(8). 918–918.1 indexed citations
8.
Adams, Laura, Daeyeon Lee, Yongfeng Mei, David A. Weitz, & Alexander A. Solovev. (2020). Nanoparticle‐Shelled Catalytic Bubble Micromotor. Advanced Materials Interfaces. 7(4).35 indexed citations
Huang, Yuting, Laura R. Arriaga, & David A. Weitz. (2019). Microfluidic Fabrication of Asymmetric Lipid Vesicles. Bulletin of the American Physical Society. 2019.1 indexed citations
Guo, Ming, Adrian F. Pegoraro, Angelo S. Mao, et al.. (2017). Cell volume change through water efflux impacts cell stiffness and stem cell fate. Proceedings of the National Academy of Sciences. 114(41). E8618–E8627.366 indexed citations breakdown →
13.
Zhou, Hang, Jeremy J. Agresti, Gregory Stephanopoulos, et al.. (2014). Microfluidic high-throughput culturing of single cells for selection based on extracellular metabolite production or consumption. DSpace@MIT (Massachusetts Institute of Technology).4 indexed citations
14.
Weitz, David A.. (2013). The Physics of Cooking. Bulletin of the American Physical Society. 2013.
Agresti, Jeremy J., Eugene Antipov, Adam R. Abate, et al.. (2010). Ultrahigh-throughput screening in drop-based microfluidics for directed evolution. Proceedings of the National Academy of Sciences. 107(9). 4004–4009.909 indexed citations breakdown →
17.
Tong, Penger, Yuan Peng, Wei Chen, T Fischer, & David A. Weitz. (2009). Short-time self-diffusion of nearly hard spheres at an oil-water interface. Bulletin of the American Physical Society.1 indexed citations
18.
Angelini, Thomas E., Marcus Roper, Roberto Kolter, David A. Weitz, & Michael P. Brenner. (2009). Bacillus subtilis spreads by surfing on waves of surfactant. Proceedings of the National Academy of Sciences. 106(43). 18109–18113.134 indexed citations
Weeks, Eric R., John C. Crocker, Andrew Levitt, Andrew B. Schofield, & David A. Weitz. (2000). Three-Dimensional Direct Imaging of Structural Relaxation Near the Colloidal Glass Transition. Science. 287(5453). 627–631.1428 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.