V. Tang

1.9k total citations
39 papers, 442 citations indexed

About

V. Tang is a scholar working on Nuclear and High Energy Physics, Radiation and Astronomy and Astrophysics. According to data from OpenAlex, V. Tang has authored 39 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 14 papers in Radiation and 7 papers in Astronomy and Astrophysics. Recurrent topics in V. Tang's work include Laser-Plasma Interactions and Diagnostics (14 papers), Nuclear Physics and Applications (14 papers) and Magnetic confinement fusion research (12 papers). V. Tang is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (14 papers), Nuclear Physics and Applications (14 papers) and Magnetic confinement fusion research (12 papers). V. Tang collaborates with scholars based in United States, United Kingdom and Switzerland. V. Tang's co-authors include Andréa Schmidt, D. R. Welch, R. Parker, J.L. Ellsworth, B. Rusnak, Seung‐Jae Lee, W. John Boscardin, Irena Stijacic‐Cenzer, J. Decker and Y. Peysson and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

V. Tang

36 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Tang United States 13 277 114 92 74 66 39 442
P.L. Coleman United States 15 379 1.4× 79 0.7× 65 0.7× 43 0.6× 46 0.7× 67 542
C. V. S. Rao India 15 377 1.4× 179 1.6× 111 1.2× 300 4.1× 143 2.2× 57 736
M. Felizardo Portugal 13 354 1.3× 135 1.2× 104 1.1× 61 0.8× 29 0.4× 48 533
Patrick Knapp United States 16 482 1.7× 72 0.6× 179 1.9× 51 0.7× 62 0.9× 66 667
Uk‐Won Nam South Korea 10 175 0.6× 123 1.1× 155 1.7× 44 0.6× 53 0.8× 75 387
M. Sisti Italy 15 359 1.3× 111 1.0× 189 2.1× 90 1.2× 135 2.0× 70 641
M. Lampert United States 11 233 0.8× 84 0.7× 80 0.9× 124 1.7× 36 0.5× 41 396
S. Striganov United States 9 358 1.3× 27 0.2× 138 1.5× 39 0.5× 83 1.3× 32 502
Junghee Kim South Korea 13 411 1.5× 214 1.9× 68 0.7× 153 2.1× 110 1.7× 70 539
H. Kagan United States 11 379 1.4× 87 0.8× 126 1.4× 163 2.2× 18 0.3× 45 619

Countries citing papers authored by V. Tang

Since Specialization
Citations

This map shows the geographic impact of V. Tang'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 V. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Tang more than expected).

Fields of papers citing papers by V. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Tang. 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 V. Tang. The network helps show where V. Tang may publish in the future.

Co-authorship network of co-authors of V. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of V. Tang. A scholar is included among the top collaborators of V. Tang 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 V. Tang. V. Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ludwig, Jan, S. C. Wilks, A. Kemp, et al.. (2025). Laser based 100 GeV electron acceleration scheme for muon production. Scientific Reports. 15(1). 25902–25902. 5 indexed citations
3.
Reuland, Daniel S., Meghan C. O’Leary, Seth D. Crockett, et al.. (2024). Centralized Colorectal Cancer Screening Outreach in Federally Qualified Health Centers. JAMA Network Open. 7(11). e2446693–e2446693. 6 indexed citations
4.
Pagan, Marino, V. Tang, Mikio Aoi, et al.. (2024). Individual variability of neural computations underlying flexible decisions. Nature. 639(8054). 421–429. 4 indexed citations
5.
Tang, V., Brendan A. Bicknell, Christine Grienberger, et al.. (2022). Dendritic Mechanisms forIn VivoNeural Computations and Behavior. Journal of Neuroscience. 42(45). 8460–8467. 7 indexed citations
6.
Tang, V., W. John Boscardin, Irena Stijacic‐Cenzer, & Seung‐Jae Lee. (2015). Time to benefit for colorectal cancer screening: survival meta-analysis of flexible sigmoidoscopy trials. BMJ. 350(apr16 11). h1662–h1662. 36 indexed citations
7.
Schmidt, Andréa, et al.. (2014). Comparisons of dense-plasma-focus kinetic simulations with experimental measurements. Physical Review E. 89(6). 61101–61101. 16 indexed citations
8.
Schmidt, Andréa, A. Link, D. R. Welch, et al.. (2014). Fully kinetic simulations of megajoule-scale dense plasma focus. Physics of Plasmas. 21(10). 23 indexed citations
9.
Dai, Z. R., Jonathan C. Crowhurst, Christian D. Grant, et al.. (2013). Exploring high temperature phenomena related to post-detonation using an electric arc. Journal of Applied Physics. 114(20). 9 indexed citations
10.
Falabella, S., et al.. (2013). Protective overcoatings on thin-film titanium targets for neutron generators. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 736. 107–111. 12 indexed citations
11.
Ellsworth, J.L., et al.. (2013). Neutron production using a pyroelectric driven target coupled with a gated field ionization source. AIP conference proceedings. 128–132. 3 indexed citations
12.
Schmidt, Andréa, V. Tang, & D. R. Welch. (2012). Fully Kinetic Simulations of Dense Plasma FocusZ-Pinch Devices. Physical Review Letters. 109(20). 205003–205003. 46 indexed citations
14.
Tang, V., M. L. Adams, & B. Rusnak. (2010). Dense Plasma Focus <formula formulatype="inline"><tex Notation="TeX">$Z$</tex></formula>-Pinches for High-Gradient Particle Acceleration. IEEE Transactions on Plasma Science. 38(4). 719–727. 13 indexed citations
15.
Tang, V., M. L. Adams, & B. Rusnak. (2009). Dense plasma focus Z-pinches for high gradient particle acceleration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–1. 1 indexed citations
16.
Tang, V., Glenn A. Meyer, Jeffrey Morse, et al.. (2007). Neutron production from feedback controlled thermal cycling of a pyroelectric crystal. Review of Scientific Instruments. 78(12). 123504–123504. 18 indexed citations
17.
Tang, V., R. R. Parker, P. T. Bonoli, et al.. (2007). Experimental and numerical characterization of ion-cyclotron heated protons on the Alcator C-Mod tokamak. Plasma Physics and Controlled Fusion. 49(6). 873–904. 16 indexed citations
18.
Jaeger, E. F., R. W. Harvey, V. E. Lynch, et al.. (2006). Quasilinear evolution of non-thermal distributions in ion cyclotron resonance heating of tokamak plasmas. Journal of Physics Conference Series. 46. 82–86. 2 indexed citations
19.
Tang, V., R. R. Parker, P. T. Bonoli, et al.. (2006). Compact multichannel neutral particle analyzer for measurement of energetic charge-exchanged neutrals in Alcator C-Mod. Review of Scientific Instruments. 77(8). 20 indexed citations
20.
Pan, Fu-Ming, et al.. (1990). Studies of the interface between the epoxy molding compound and the copper leadframe by x-ray photoelectron spectroscopy, Auger electron spectroscopy, and secondary electron microscopy. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 8(6). 4074–4078. 7 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.

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