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.
Modeling a No-Slip Flow Boundary with an External Force Field
1993954 citationsD. Goldstein, R. Handler et al.profile →
Duloxetine vs. placebo in patients with painful diabetic neuropathy
2005613 citationsD. Goldstein, Yili Lu et al.Painprofile →
Identification of metastasis-related microRNAs in hepatocellular carcinoma
This map shows the geographic impact of D. Goldstein'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 D. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Goldstein more than expected).
This network shows the impact of papers produced by D. Goldstein. 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 D. Goldstein. The network helps show where D. Goldstein may publish in the future.
Co-authorship network of co-authors of D. Goldstein
This figure shows the co-authorship network connecting the top 25 collaborators of D. Goldstein.
A scholar is included among the top collaborators of D. Goldstein 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 D. Goldstein. D. Goldstein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goldstein, D., et al.. (2021). Direct Numerical Simulation Study of Microbubble Entrapment in Vortical Structures in a Turbulent Channel Flow. Bulletin of the American Physical Society.
4.
De, Kishalay, D. Goldstein, Igor Andreoni, et al.. (2019). LIGO/Virgo S190814bv: des-gw190814a is consistent with an asteroid. GRB Coordinates Network. 25348. 1.
5.
De, Kishalay, J. Jencson, M. M. Kasliwal, D. Goldstein, & Igor Andreoni. (2019). LIGO/Virgo S190814bv: Keck II NIRES classification of DG19wxnjc/AT2019npv as a stripped envelope supernova. GRB Coordinates Network. 25478. 1.
Goldstein, D., et al.. (2016). Some Insights on Roughness Induced Transition and Control from DNS and Experiments. Bulletin of the American Physical Society.1 indexed citations
8.
Stephani, Kelly A. & D. Goldstein. (2008). DNS Study of Transient Disturbance Growth and Bypass Transition. Bulletin of the American Physical Society. 61.4 indexed citations
Goldstein, D., Yili Lu, Michael J. Detke, et al.. (2004). Duloxetine in the Treatment of Depression. Journal of Clinical Psychopharmacology. 24(4). 389–399.260 indexed citations
Grazier, Kevin R., William I. Newman, F. Váradi, D. Goldstein, & W. M. Kaula. (1996). Integrators for Long-Term Solar System Dynamical Simulations.3 indexed citations
Goldstein, D.. (1991). Near-continuum applications of a discrete-velocity gas model. 846–853.1 indexed citations
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.