Yan-Na Wu

713 total citations · 1 hit paper
9 papers, 617 citations indexed

About

Yan-Na Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Yan-Na Wu has authored 9 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Yan-Na Wu's work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Yan-Na Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Yan-Na Wu collaborates with scholars based in United States and Italy. Yan-Na Wu's co-authors include Steven W. Johnson, Ke‐Zhong Shen, R A North, John P. Adelman, Michael P. Kavanaugh, Armando Lagrutta, Robin A. Warren, Chris T. Bond, Adam C. Munhall and Giuseppina Martella and has published in prestigious journals such as Neuron, Brain Research and Neuroscience.

In The Last Decade

Yan-Na Wu

9 papers receiving 603 citations

Hit Papers

Calcium-activated potassium channels expressed from clone... 1992 2026 2003 2014 1992 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-Na Wu United States 8 469 389 185 52 51 9 617
Hua Wen United States 13 531 1.1× 355 0.9× 194 1.0× 37 0.7× 20 0.4× 23 667
Alon Meir United Kingdom 10 810 1.7× 644 1.7× 150 0.8× 37 0.7× 42 0.8× 11 995
Bhaval S. Shah United Kingdom 8 478 1.0× 371 1.0× 154 0.8× 22 0.4× 36 0.7× 9 570
Peter J. Craig United Kingdom 15 570 1.2× 440 1.1× 89 0.5× 42 0.8× 48 0.9× 17 707
L. Tatulian United Kingdom 6 650 1.4× 493 1.3× 336 1.8× 28 0.5× 16 0.3× 6 731
Hannah I. Bishop United States 7 331 0.7× 277 0.7× 75 0.4× 108 2.1× 19 0.4× 7 534
Alexandra Koschak Austria 15 780 1.7× 555 1.4× 171 0.9× 26 0.5× 31 0.6× 26 915
Ramón Latorre Chile 4 680 1.4× 501 1.3× 264 1.4× 54 1.0× 12 0.2× 4 856
Synnöve Beckh Germany 8 915 2.0× 763 2.0× 303 1.6× 48 0.9× 30 0.6× 10 1.1k
Patricia A. Olson United States 3 260 0.6× 255 0.7× 44 0.2× 45 0.9× 39 0.8× 5 371

Countries citing papers authored by Yan-Na Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Na Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Na Wu. 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 Yan-Na Wu. The network helps show where Yan-Na Wu may publish in the future.

Co-authorship network of co-authors of Yan-Na Wu

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

All Works

9 of 9 papers shown
1.
Shen, Ke‐Zhong, Yan-Na Wu, Adam C. Munhall, & Steven W. Johnson. (2016). AMP kinase regulates ligand-gated K-ATP channels in substantia nigra dopamine neurons. Neuroscience. 330. 219–228. 13 indexed citations
2.
Wu, Yan-Na & Steven W. Johnson. (2015). Memantine selectively blocks extrasynaptic NMDA receptors in rat substantia nigra dopamine neurons. Brain Research. 1603. 1–7. 36 indexed citations
3.
Munhall, Adam C., Yan-Na Wu, John K. Belknap, Charles K. Meshul, & Steven W. Johnson. (2012). NMDA alters rotenone toxicity in rat substantia nigra zona compacta and ventral tegmental area dopamine neurons. NeuroToxicology. 33(3). 429–435. 7 indexed citations
4.
Wu, Yan-Na, Adam C. Munhall, & Steven W. Johnson. (2011). Mitochondrial uncoupling agents antagonize rotenone actions in rat substantia nigra dopamine neurons. Brain Research. 1395. 86–93. 20 indexed citations
5.
Wu, Yan-Na & Steven W. Johnson. (2009). Rotenone reduces Mg2+-dependent block of NMDA currents in substantia nigra dopamine neurons. NeuroToxicology. 30(2). 320–325. 24 indexed citations
6.
Wu, Yan-Na & Steven W. Johnson. (2007). Rotenone potentiates NMDA currents in substantia nigra dopamine neurons. Neuroscience Letters. 421(2). 96–100. 29 indexed citations
7.
Wu, Yan-Na, Giuseppina Martella, & Steven W. Johnson. (2007). Rotenone enhances N-methyl-D-aspartate currents by activating a tyrosine kinase in rat dopamine neurons. Neuroreport. 18(17). 1813–1816. 9 indexed citations
8.
Johnson, Steven W. & Yan-Na Wu. (2004). Multiple mechanisms underlie burst firing in rat midbrain dopamine neurons in vitro. Brain Research. 1019(1-2). 293–296. 50 indexed citations
9.
Adelman, John P., Ke‐Zhong Shen, Michael P. Kavanaugh, et al.. (1992). Calcium-activated potassium channels expressed from cloned complementary DNAs. Neuron. 9(2). 209–216. 429 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.

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