Shasha Wu

2.1k total citations
98 papers, 1.2k citations indexed

About

Shasha Wu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shasha Wu has authored 98 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 29 papers in Cognitive Neuroscience and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shasha Wu's work include Epilepsy research and treatment (30 papers), Neuroscience and Neuropharmacology Research (19 papers) and EEG and Brain-Computer Interfaces (18 papers). Shasha Wu is often cited by papers focused on Epilepsy research and treatment (30 papers), Neuroscience and Neuropharmacology Research (19 papers) and EEG and Brain-Computer Interfaces (18 papers). Shasha Wu collaborates with scholars based in United States, China and Cameroon. Shasha Wu's co-authors include Naoum P. Issa, James X. Tao, Sandra Rose, Peter C. Warnke, Vernon L. Towle, Robertino M. Mera, Bettsy Y. Recalde, Óscar H. Del Brutto, Aldo F. Costa and Péter Révész and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Shasha Wu

91 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shasha Wu United States 19 360 325 303 290 109 98 1.2k
Hsiang‐Yu Yu Taiwan 21 682 1.9× 192 0.6× 402 1.3× 309 1.1× 88 0.8× 86 1.4k
Jinse Park South Korea 21 281 0.8× 464 1.4× 184 0.6× 178 0.6× 171 1.6× 85 1.4k
Lorenzo Priano Italy 25 184 0.5× 393 1.2× 296 1.0× 114 0.4× 203 1.9× 84 1.6k
J. van der Meer Netherlands 24 167 0.5× 172 0.5× 547 1.8× 194 0.7× 141 1.3× 81 1.7k
Hyunwoo Nam South Korea 22 205 0.6× 442 1.4× 381 1.3× 129 0.4× 35 0.3× 71 1.1k
Xiaomei Zhong China 24 307 0.9× 102 0.3× 206 0.7× 154 0.5× 215 2.0× 103 1.4k
Hyang Woon Lee South Korea 22 475 1.3× 143 0.4× 429 1.4× 221 0.8× 100 0.9× 92 1.5k
Dimitrios Kazis Greece 19 213 0.6× 259 0.8× 227 0.7× 148 0.5× 152 1.4× 73 992
Patricia Dugan United States 22 398 1.1× 253 0.8× 538 1.8× 312 1.1× 60 0.6× 69 1.2k
Yongxia Zhou United States 21 205 0.6× 426 1.3× 770 2.5× 128 0.4× 153 1.4× 54 1.8k

Countries citing papers authored by Shasha Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Wu. A scholar is included among the top collaborators of Shasha 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 Shasha Wu. Shasha Wu 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.
Kragel, James E., Naoum P. Issa, Hiba A. Haider, et al.. (2025). Closed-loop control of theta oscillations enhances human hippocampal network connectivity. Nature Communications. 16(1). 4061–4061.
2.
3.
Issa, Naoum P., et al.. (2025). Clinical Implications of Small Sharp Spikes in Mesial Temporal Lobe Epilepsy: Controversies and Opportunities. Journal of Clinical Neurophysiology. 42(7). 616–625.
4.
Wu, Shasha, Naoum P. Issa, Hiba A. Haider, et al.. (2024). Depth versus surface: A critical review of subdural and depth electrodes in intracranial electroencephalographic studies. Epilepsia. 65(7). 1868–1878. 4 indexed citations
5.
Wu, Shasha, et al.. (2024). Impact of intracranial subclinical seizures on seizure outcomes after SLAH in patients with mesial temporal lobe epilepsy. Clinical Neurophysiology. 160. 121–129. 1 indexed citations
6.
Wu, Junyi, Xiangjie Xu, Shasha Wu, et al.. (2023). UBE2S promotes malignant properties via VHL/HIF‐1α and VHL/JAK2/STAT3 signaling pathways and decreases sensitivity to sorafenib in hepatocellular carcinoma. Cancer Medicine. 12(17). 18078–18097. 7 indexed citations
7.
Han, Chenyang, Yongjia Sheng, Jin Wang, et al.. (2023). LncRNA PSCK6-AS1-HIPK2 promotes Th1 differentiation via STAT1 phosphorylation to regulate colitis-related mucosal barrier damage. International Immunopharmacology. 117. 109992–109992. 7 indexed citations
8.
Jin, Ke, et al.. (2022). Stat5−/− CD4+ T cells elicit anti-melanoma effect by CD4+ T cell remolding and Notch1 activation. Science China Life Sciences. 65(9). 1824–1839. 4 indexed citations
9.
Bruzzone, Maria, Naoum P. Issa, Shasha Wu, et al.. (2022). Hippocampal spikes have heterogeneous scalp EEG correlates important for defining IEDs. Epilepsy Research. 182. 106914–106914. 6 indexed citations
10.
Qiu, Jiannan, Shasha Wu, Peng Wang, et al.. (2022). miR-488-5p mitigates hepatic stellate cell activation and hepatic fibrosis via suppressing TET3 expression. Hepatology International. 17(2). 463–475. 9 indexed citations
11.
Beltz, Adriene M., Zhongming Liu, Marcia Grabowecky, et al.. (2021). Visual speech differentially modulates beta, theta, and high gamma bands in auditory cortex. European Journal of Neuroscience. 54(9). 7301–7317. 8 indexed citations
12.
Li, Cheng-Ru, et al.. (2020). A Review of MADS-box Genes，the Molecular Regulatory Genes for Floral Organ Development in Orchidaceae. Acta Horticulturae Sinica. 47(10). 2047. 8 indexed citations
13.
Wu, Shasha, et al.. (2019). Clinical implications of scalp ictal EEG pattern in patients with temporal lobe epilepsy. Clinical Neurophysiology. 130(9). 1604–1610. 9 indexed citations
14.
Lukas, Rimas V., Naoum P. Issa, Adil Javed, et al.. (2018). Antiglutamic acid decarboxylase 65 (GAD65) antibody-associated epilepsy. Epilepsy & Behavior. 80. 331–336. 73 indexed citations
15.
Jiang, Heidi, Stephan Schuele, Joshua M. Rosenow, et al.. (2017). Theta Oscillations Rapidly Convey Odor-Specific Content in Human Piriform Cortex. Neuron. 94(1). 207–219.e4. 56 indexed citations
16.
Shaikh, Aasef G., Deepak Gulati, Shasha Wu, & Mohamad Z. Koubeissi. (2012). Independent and symmetric seizures from parasagittal cortex: Is this a feature of profound hypoglycemia?. Epilepsy & Behavior. 25(2). 263–265. 2 indexed citations
17.
Li, Wenjin, Shasha Wu, Robert W. Hickey, et al.. (2007). Neuronal Cyclooxygenase-2 Activity and Prostaglandins PGE2, PGD2, and PGF2α Exacerbate Hypoxic Neuronal Injury in Neuron-enriched Primary Culture. Neurochemical Research. 33(3). 490–499. 41 indexed citations
18.
Révész, Péter & Shasha Wu. (2004). Visualization of recursively defined concepts. Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.. 613–621. 2 indexed citations
19.
Wu, Shasha & Péter Révész. (2004). DOAS: a drought online analysis system with constraint databases. International Conference on Digital Government Research. 34. 2 indexed citations
20.
Kouam, L, et al.. (1993). [Induced labor: conditions for success and causes of failure. A prospective study of 162 cases].. PubMed. 88(4). 243–8. 2 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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