Ju-Ju Qi

421 total citations
14 papers, 318 citations indexed

About

Ju-Ju Qi is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ju-Ju Qi has authored 14 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ju-Ju Qi's work include Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Immunology Research (4 papers) and Virus-based gene therapy research (4 papers). Ju-Ju Qi is often cited by papers focused on Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Immunology Research (4 papers) and Virus-based gene therapy research (4 papers). Ju-Ju Qi collaborates with scholars based in China. Ju-Ju Qi's co-authors include Xuejun Ma, Xinxin Shen, Mengchuan Zhao, Zhishan Feng, Li Zhao, Guixia Li, Lixin Li, Xinna Li, Chen Chen and Liping Shen and has published in prestigious journals such as BMC Infectious Diseases, Archives of Virology and Reproductive Biology and Endocrinology.

In The Last Decade

Ju-Ju Qi

14 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju-Ju Qi China 9 170 104 93 86 68 14 318
Xinna Li China 10 155 0.9× 95 0.9× 167 1.8× 127 1.5× 32 0.5× 17 388
Le-ying Wen China 8 202 1.2× 124 1.2× 53 0.6× 67 0.8× 62 0.9× 25 327
Kate M. Blaney United States 7 130 0.8× 142 1.4× 124 1.3× 43 0.5× 30 0.4× 8 325
Suzhen Yang China 11 95 0.6× 36 0.3× 94 1.0× 43 0.5× 57 0.8× 28 294
N Percy United States 10 230 1.4× 170 1.6× 195 2.1× 29 0.3× 50 0.7× 11 509
Kathleen Todd United States 7 103 0.6× 259 2.5× 189 2.0× 33 0.4× 100 1.5× 13 528
Ruihan Shi China 14 181 1.1× 51 0.5× 67 0.7× 27 0.3× 42 0.6× 25 407
Catherine Hennechart-Collette France 13 413 2.4× 26 0.3× 37 0.4× 38 0.4× 22 0.3× 24 492
Ruolan Bai China 7 103 0.6× 51 0.5× 87 0.9× 58 0.7× 19 0.3× 14 291

Countries citing papers authored by Ju-Ju Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Ju Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Ju Qi. 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 Ju-Ju Qi. The network helps show where Ju-Ju Qi may publish in the future.

Co-authorship network of co-authors of Ju-Ju Qi

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

All Works

14 of 14 papers shown
1.
Li, Feng, et al.. (2024). MTHFR C677T、MTHFR A1298C、MTRR A66G and MTR A2756G polymorphisms and male infertility risk: a systematic review and meta-analysis. Reproductive Biology and Endocrinology. 22(1). 133–133. 1 indexed citations
2.
Li, Feng, et al.. (2024). Impact of insulin resistance on IVF/ICSI outcomes in women with polycystic ovary syndrome: A systematic review and meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 299. 54–61. 3 indexed citations
3.
5.
Fan, Tao, Ruiqin Zhang, Li Zhao, et al.. (2019). Pathogen spectrum of viral encephalitis in children living in Hebei province, China from May to December 2017. 33(3). 275–279. 1 indexed citations
7.
Qi, Ju-Ju, Xinna Li, Yi Zhang, et al.. (2019). Development of a duplex reverse transcription recombinase-aided amplification assay for respiratory syncytial virus incorporating an internal control. Archives of Virology. 164(7). 1843–1850. 32 indexed citations
8.
Shen, Xinxin, Liping Shen, Mengchuan Zhao, et al.. (2019). A rapid and sensitive recombinase aided amplification assay to detect hepatitis B virus without DNA extraction. BMC Infectious Diseases. 19(1). 229–229. 76 indexed citations
10.
Li, Xinna, Le Wang, Chen Chen, et al.. (2018). Development of a reverse transcription recombinase-aided amplification assay for the detection of coxsackievirus A10 and coxsackievirus A6 RNA. Archives of Virology. 163(6). 1455–1461. 34 indexed citations
11.
Shen, Xinxin, Guixia Li, Mengchuan Zhao, et al.. (2018). A case control study on the prevalence of enterovirus in children samples and its association with diarrhea. Archives of Virology. 164(1). 63–68. 20 indexed citations
12.
Shen, Xinxin, Guixia Li, Li Zhao, et al.. (2018). Adenovirus associated with acute diarrhea: a case-control study. BMC Infectious Diseases. 18(1). 450–450. 51 indexed citations
13.
Feng, Zhishan, Li Zhao, Ji Wang, et al.. (2018). A multiplex one-tube nested real time RT-PCR assay for simultaneous detection of respiratory syncytial virus, human rhinovirus and human metapneumovirus. Virology Journal. 15(1). 167–167. 26 indexed citations
14.
Shen, Xinxin, Mengchuan Zhao, Li Zhao, et al.. (2018). A triplex quantitative real-time PCR assay for differential detection of human adenovirus serotypes 2, 3 and 7. Virology Journal. 15(1). 81–81. 15 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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