Yaping Gu

1.4k total citations
31 papers, 889 citations indexed

About

Yaping Gu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Neurology. According to data from OpenAlex, Yaping Gu has authored 31 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 13 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Yaping Gu's work include Prion Diseases and Protein Misfolding (12 papers), Malaria Research and Control (12 papers) and Mosquito-borne diseases and control (11 papers). Yaping Gu is often cited by papers focused on Prion Diseases and Protein Misfolding (12 papers), Malaria Research and Control (12 papers) and Mosquito-borne diseases and control (11 papers). Yaping Gu collaborates with scholars based in United States, China and Japan. Yaping Gu's co-authors include Neena Singh, Ravi Shankar Mishra, Ruliang Li, Hisashi Fujioka, Pierluigi Gambetti, Man‐Sun Sy, Jun Cao, Anil Kumar, Mark L. Cohen and Sui Xu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yaping Gu

31 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Gu United States 16 596 301 244 214 92 31 889
Karen Bryson United Kingdom 14 392 0.7× 174 0.6× 29 0.1× 255 1.2× 149 1.6× 19 974
Aída Castillo Mexico 15 321 0.5× 88 0.3× 23 0.1× 161 0.8× 27 0.3× 28 674
Cliona Boyle United Kingdom 9 327 0.5× 58 0.2× 45 0.2× 17 0.1× 60 0.7× 10 992
Murielle Giry France 8 541 0.9× 167 0.6× 31 0.1× 17 0.1× 45 0.5× 8 973
Manikhandan Mudaliar United Kingdom 12 282 0.5× 31 0.1× 42 0.2× 52 0.2× 25 0.3× 14 643
Cecília J. G. de Almeida Brazil 9 200 0.3× 40 0.1× 38 0.2× 122 0.6× 61 0.7× 10 498
Yuefang Ma Australia 15 213 0.4× 19 0.1× 74 0.3× 62 0.3× 34 0.4× 30 569
Xiu Luo China 12 475 0.8× 185 0.6× 239 1.0× 18 0.1× 68 0.7× 19 697
Manish Sharma United States 14 447 0.8× 34 0.1× 14 0.1× 223 1.0× 47 0.5× 32 856
E Xiaofei United States 14 337 0.6× 14 0.0× 42 0.2× 82 0.4× 29 0.3× 22 837

Countries citing papers authored by Yaping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Gu. A scholar is included among the top collaborators of Yaping Gu 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 Yaping Gu. Yaping Gu 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.
Tang, Jianxia, Weiming Wang, Xiaoqin He, et al.. (2023). Poor performance of malaria rapid diagnostic tests for the detection of Plasmodium malariae among returned international travellers in China. Malaria Journal. 22(1). 163–163. 9 indexed citations
2.
Chen, Jing, Xiaoqin Ma, Jianxia Tang, et al.. (2022). Disparate selection of mutations in the dihydrofolate reductase gene (dhfr) of Plasmodium ovale curtisi and P. o. wallikeri in Africa. PLoS neglected tropical diseases. 16(12). e0010977–e0010977. 3 indexed citations
3.
Liu, Yaobao, Sofonías K. Tessema, Maxwell Murphy, et al.. (2020). Confirmation of the absence of local transmission and geographic assignment of imported falciparum malaria cases to China using microsatellite panel. Malaria Journal. 19(1). 244–244. 10 indexed citations
4.
Zhang, Meihua, Sui Xu, Yaping Gu, et al.. (2020). Classification of induced malaria case in an elimination setting: investigation of transfusion-transmitted malaria cases. Malaria Journal. 19(1). 136–136. 3 indexed citations
5.
Tang, Jianxia, Feng Lu, Sui Xu, et al.. (2019). Assessment of false negative rates of lactate dehydrogenase-based malaria rapid diagnostic tests for Plasmodium ovale detection. PLoS neglected tropical diseases. 13(3). e0007254–e0007254. 19 indexed citations
6.
Zhou, Huayun, Weiming Wang, Guoding Zhu, et al.. (2018). [Epidemiological analysis of malaria prevalence in Jiangsu Province in 2016].. PubMed. 30(1). 32–36. 5 indexed citations
7.
Zhu, Guoding, Yuanyuan Cao, Weiming Wang, et al.. (2018). The challenge of maintaining microscopist capacity at basic levels for malaria elimination in Jiangsu Province, China. BMC Public Health. 18(1). 489–489. 22 indexed citations
8.
Lu, Feng, Meihua Zhang, Richard Culleton, et al.. (2017). Return of chloroquine sensitivity to Africa? Surveillance of African Plasmodium falciparum chloroquine resistance through malaria imported to China. Parasites & Vectors. 10(1). 355–355. 34 indexed citations
9.
10.
Tao, Zhiyong, Huayun Zhou, Hui Xia, et al.. (2011). Adaptation of a visualized loop-mediated isothermal amplification technique for field detection of Plasmodium vivax infection. Parasites & Vectors. 4(1). 115–115. 96 indexed citations
11.
Wang, Weiming, Julin Li, Jun Cao, et al.. (2010). Impact of different temperatures on development of Anopheles sinensis.. 22(3). 260–263. 1 indexed citations
12.
Das, Dola, Xiu Luo, Ajay Singh, et al.. (2010). Paradoxical Role of Prion Protein Aggregates in Redox-Iron Induced Toxicity. PLoS ONE. 5(7). e11420–e11420. 19 indexed citations
13.
Cao, Jun, et al.. (2009). Epidemic and control of malaria in Jiangsu Province.. 21(6). 503–506. 6 indexed citations
14.
Gu, Yaping, et al.. (2008). Pathogenic mutations in the glycosylphosphatidylinositol signal peptide of PrP modulate its topology in neuroblastoma cells. Molecular and Cellular Neuroscience. 37(4). 647–656. 23 indexed citations
15.
Gu, Yaping & Neena Singh. (2004). Doxycycline and protein folding agents rescue the abnormal phenotype of familial CJD H187R in a cell model. Molecular Brain Research. 123(1-2). 37–44. 18 indexed citations
16.
Mishra, Ravi Shankar, Subhabrata Basu, Yaping Gu, et al.. (2004). Protease-Resistant Human Prion Protein and Ferritin Are Cotransported across Caco-2 Epithelial Cells: Implications for Species Barrier in Prion Uptake from the Intestine. Journal of Neuroscience. 24(50). 11280–11290. 81 indexed citations
17.
Gu, Yaping, et al.. (2003). Identification of cryptic nuclear localization signals in the prion protein. Neurobiology of Disease. 12(2). 133–149. 60 indexed citations
18.
19.
Mishra, Ravi Shankar, et al.. (2002). Cell Surface Accumulation of a Truncated Transmembrane Prion Protein in Gerstmann-Straussler-Scheinker Disease P102L. Journal of Biological Chemistry. 277(27). 24554–24561. 31 indexed citations
20.
Jin, Taocong, Yaping Gu, Gianluigi Zanusso, et al.. (2000). The Chaperone Protein BiP Binds to a Mutant Prion Protein and Mediates Its Degradation by the Proteasome. Journal of Biological Chemistry. 275(49). 38699–38704. 144 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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