Ping Wu

4.3k total citations
82 papers, 2.8k citations indexed

About

Ping Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ping Wu has authored 82 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ping Wu's work include Neuropeptides and Animal Physiology (8 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Ping Wu is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Optical Imaging and Spectroscopy Techniques (7 papers). Ping Wu collaborates with scholars based in China, United States and Germany. Ping Wu's co-authors include Christian Wiesmann, Chao Peng, Ivor M.D. Jackson, Robert W. Egan, B.A. Appleton, M. Motasim Billah, Wei‐Ching Liang, Sachdev S. Sidhu, Boonlert Cheewatrakoolpong and Germaine Fuh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ping Wu

80 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Wu China 28 1.4k 441 339 301 283 82 2.8k
Steven H. Seeholzer United States 32 2.0k 1.4× 243 0.6× 484 1.4× 278 0.9× 415 1.5× 79 3.5k
Atsushi Hirano Japan 33 1.1k 0.8× 141 0.3× 204 0.6× 358 1.2× 272 1.0× 164 3.3k
Rüdiger Pipkorn Germany 31 1.5k 1.0× 212 0.5× 333 1.0× 533 1.8× 128 0.5× 89 2.7k
Roberto Ström Italy 30 1.6k 1.1× 296 0.7× 305 0.9× 290 1.0× 207 0.7× 160 3.3k
Leigh Anderson United States 20 3.3k 2.3× 351 0.8× 322 0.9× 293 1.0× 205 0.7× 29 5.1k
R. Reid Townsend United States 30 2.0k 1.4× 114 0.3× 333 1.0× 372 1.2× 359 1.3× 73 3.6k
Guang Yang China 29 1.6k 1.1× 147 0.3× 510 1.5× 238 0.8× 447 1.6× 105 3.0k
Keiko Matsubara Japan 35 2.5k 1.7× 279 0.6× 330 1.0× 135 0.4× 1.1k 3.8× 142 4.9k
Júlia Costa Portugal 32 2.6k 1.8× 223 0.5× 777 2.3× 240 0.8× 126 0.4× 91 3.7k
Martin Pagé United Kingdom 36 2.0k 1.4× 266 0.6× 392 1.2× 221 0.7× 187 0.7× 100 3.7k

Countries citing papers authored by Ping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Wu. A scholar is included among the top collaborators of Ping 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 Ping Wu. Ping 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.
Zhang, Menghuan, Tingting Xiao, Zhe Zhang, et al.. (2024). DYRK1A interacts with the tuberous sclerosis complex and promotes mTORC1 activity. eLife. 12.
2.
Liu, Yi, et al.. (2024). Time-Dependent Comparison of the Structural Variations of Natural Products and Synthetic Compounds. International Journal of Molecular Sciences. 25(21). 11475–11475. 1 indexed citations
3.
Chen, Yukun, Yingying Li, Jingwen Zhang, et al.. (2023). Rapid metabolic reprogramming mediated by the AMP-activated protein kinase during the lytic cycle of Toxoplasma gondii. Nature Communications. 14(1). 16 indexed citations
4.
Zhang, Mei, Ping Wu, Tianyi Li, et al.. (2022). Halovirs I–K, antibacterial and cytotoxic lipopeptaibols from the plant pathogenic fungus Paramyrothecium roridum NRRL 2183. The Journal of Antibiotics. 75(5). 247–257. 9 indexed citations
5.
Liu, Anqi, Yaqiong Li, Ningbo Xia, et al.. (2022). The beta subunit of AMP-activated protein kinase is critical for cell cycle progression and parasite development in Toxoplasma gondii. Cellular and Molecular Life Sciences. 79(10). 532–532. 12 indexed citations
6.
Wang, Duo, Ping Wu, Muchun Li, et al.. (2022). Global profiling of regulatory elements in the histone benzoylation pathway. Nature Communications. 13(1). 1369–1369. 15 indexed citations
7.
8.
Li, Chuanyin, Qingrun Li, Menghuan Zhang, et al.. (2021). MKRN3-mediated ubiquitination of Poly(A)-binding proteins modulates the stability and translation of GNRH1 mRNA in mammalian puberty. Nucleic Acids Research. 49(7). 3796–3813. 55 indexed citations
9.
Meng, Huyan, Guowei Wu, Anhui Wang, et al.. (2021). Discovery of a cooperative mode of inhibiting RIPK1 kinase. Cell Discovery. 7(1). 41–41. 16 indexed citations
10.
Fu, Liwen, Yanlin Liu, Guochen Qin, et al.. (2021). The TOR–EIN2 axis mediates nuclear signalling to modulate plant growth. Nature. 591(7849). 288–292. 100 indexed citations
11.
Wu, Ping, et al.. (2020). The economic burden of medical treatment of children with asthma in China. BMC Pediatrics. 20(1). 386–386. 14 indexed citations
12.
Zhang, Xiaodan, Lulu Jiang, Jian Li, et al.. (2020). Site-Selective Phosphoglycerate Mutase 1 Acetylation by a Small Molecule. ACS Chemical Biology. 15(3). 632–639. 15 indexed citations
13.
Zhu, Qingchen, Tao Yu, Yan Wang, et al.. (2020). TRIM24 facilitates antiviral immunity through mediating K63-linked TRAF3 ubiquitination. The Journal of Experimental Medicine. 217(7). 46 indexed citations
14.
Feng, Jianwen A., Patrick Lee, Kathy Barrett, et al.. (2019). Structure Based Design of Potent Selective Inhibitors of Protein Kinase D1 (PKD1). ACS Medicinal Chemistry Letters. 10(9). 1260–1265. 5 indexed citations
15.
Tao, Zhengang, Yanqi Han, Mingming Xue, et al.. (2017). Therapeutic Mechanistic Studies of ShuFengJieDu Capsule in an Acute Lung Injury Animal Model Using Quantitative Proteomics Technology. Journal of Proteome Research. 16(11). 4009–4019. 41 indexed citations
16.
Katschke, Kenneth J., Ping Wu, Rajkumar Ganesan, et al.. (2012). Inhibiting Alternative Pathway Complement Activation by Targeting the Factor D Exosite. Journal of Biological Chemistry. 287(16). 12886–12892. 66 indexed citations
17.
Qin, Chenghu, et al.. (2012). Fast implementation for fluorescence tomography based on coordinate descent with limited measurements. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8317. 831713–831713. 1 indexed citations
18.
Zhang, Yingnan, B.A. Appleton, Stephen L. Sazinsky, et al.. (2007). Structural and functional analysis of the PDZ domains of human HtrA1 and HtrA3. Protein Science. 16(11). 2454–2471. 78 indexed citations
19.
Wu, Ping, et al.. (1990). Quantitative studies of changes in expression of pituitary POMC mRNA after exposure to cold or a novel environment.. ACTA HISTOCHEMICA ET CYTOCHEMICA. 23(5). 748. 2 indexed citations
20.
Liposits, Zsolt, W. K. Paull, Ping Wu, Ivor M.D. Jackson, & Ronald M. Lechan. (1987). Hypophysiotrophic thyrotropin releasing hormone (TRH) synthesizing neurons. Histochemistry and Cell Biology. 88(1). 1–10. 58 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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