Shaoli Deng

1.6k total citations
55 papers, 1.2k citations indexed

About

Shaoli Deng is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shaoli Deng has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Infectious Diseases and 12 papers in Epidemiology. Recurrent topics in Shaoli Deng's work include Tuberculosis Research and Epidemiology (12 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cancer-related molecular mechanisms research (5 papers). Shaoli Deng is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cancer-related molecular mechanisms research (5 papers). Shaoli Deng collaborates with scholars based in China, United States and India. Shaoli Deng's co-authors include Kai Chang, Fake Li, Kejun Zhang, Shuangrong Jia, Ming Chen, Weiping Lu, Ming Chen, Junji Wang, Weiping Lu and Lili Yu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.

In The Last Decade

Shaoli Deng

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoli Deng China 19 452 356 321 216 208 55 1.2k
Isabelle Magalhaes Sweden 22 296 0.7× 210 0.6× 256 0.8× 103 0.5× 590 2.8× 52 1.2k
Fake Li China 12 191 0.4× 299 0.8× 226 0.7× 179 0.8× 55 0.3× 19 701
Arlene L. Oei Netherlands 22 354 0.8× 132 0.4× 119 0.4× 303 1.4× 94 0.5× 62 2.0k
Masafumi Inoue Japan 20 440 1.0× 73 0.2× 302 0.9× 319 1.5× 50 0.2× 53 1.3k
Yong Cheng China 20 1.1k 2.4× 295 0.8× 268 0.8× 276 1.3× 372 1.8× 67 1.9k
K. Sugiyama Japan 20 471 1.0× 228 0.6× 413 1.3× 497 2.3× 100 0.5× 64 1.9k
Juan Carlos Tercero Spain 21 509 1.1× 141 0.4× 164 0.5× 114 0.5× 61 0.3× 44 1.6k
Atsushi Saitoh Japan 22 293 0.6× 153 0.4× 148 0.5× 41 0.2× 333 1.6× 77 1.1k
Daniel C. Edelman United States 17 393 0.9× 198 0.6× 133 0.4× 77 0.4× 53 0.3× 34 903
Jeffrey Low Singapore 21 696 1.5× 118 0.3× 292 0.9× 332 1.5× 175 0.8× 51 2.0k

Countries citing papers authored by Shaoli Deng

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoli Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoli Deng. A scholar is included among the top collaborators of Shaoli Deng 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 Shaoli Deng. Shaoli Deng 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.
Liao, Ling, Xia Chen, Qing Huang, et al.. (2023). Long non-coding RNA CASC7 is a promising serum biomarker for hepatocellular carcinoma. BMC Gastroenterology. 23(1). 324–324. 3 indexed citations
2.
Ren, Xiaodong, Yuwei Li, Jin Li, et al.. (2023). Centrifugal microfluidic-based multiplex recombinase polymerase amplification assay for rapid detection of SARS-CoV-2. iScience. 26(3). 106245–106245. 16 indexed citations
3.
Li, Jin, Shaoli Deng, Min Li, et al.. (2023). Development of a novel integrated isothermal amplification system for detection of bacteria-spiked blood samples. AMB Express. 13(1). 135–135. 1 indexed citations
4.
5.
Yang, Shuangshuang, et al.. (2022). Epidemiology and resistance mechanisms of tigecycline- and carbapenem-resistant Enterobacter cloacae in Southwest China: a 5-year retrospective study. Journal of Global Antimicrobial Resistance. 28. 161–167. 12 indexed citations
6.
Li, Bowen, Kun Wei, Qiqi Liu, et al.. (2021). Enhanced Separation Efficiency and Purity of Circulating Tumor Cells Based on the Combined Effects of Double Sheath Fluids and Inertial Focusing. Frontiers in Bioengineering and Biotechnology. 9. 750444–750444. 9 indexed citations
7.
Chen, Xia, et al.. (2020). Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus‐Associated Hepatocellular Carcinoma. BioMed Research International. 2020(1). 7653506–7653506. 10 indexed citations
8.
Li, Fake, Jie Luo, Huan Xu, et al.. (2019). Early secreted antigenic target 6-kDa from Mycobacterium tuberculosis enhanced the protective innate immunity of macrophages partially via HIF1α. Biochemical and Biophysical Research Communications. 522(1). 26–32. 7 indexed citations
9.
10.
Luo, Jie, Mingxu Zhang, Fake Li, et al.. (2018). Diagnostic performance of plasma cytokine biosignature combination and MCP-1 as individual biomarkers for differentiating stages Mycobacterium tuberculosis infection. Journal of Infection. 78(4). 281–291. 37 indexed citations
11.
Li, Linlin, Jun Yue, Wenzhong Chen, et al.. (2015). The effects of SP110’s associated genes on fresh cavitary pulmonary tuberculosis in Han Chinese population. Clinical and Experimental Medicine. 16(2). 219–225. 10 indexed citations
12.
Chang, Kai, Yan Pi, Weiping Lu, et al.. (2014). Label-free and high-sensitive detection of human breast cancer cells by aptamer-based leaky surface acoustic wave biosensor array. Biosensors and Bioelectronics. 60. 318–324. 101 indexed citations
13.
Yu, Lili, Kai Chang, Jian Han, Shaoli Deng, & Ming Chen. (2013). Association between Methylenetetrahydrofolate Reductase C677T Polymorphism and Susceptibility to Cervical Cancer: A Meta-Analysis. PLoS ONE. 8(2). e55835–e55835. 12 indexed citations
14.
Luo, Jie, et al.. (2013). Up-regulation of transcription factor Blimp1 in systemic lupus erythematosus. Molecular Immunology. 56(4). 574–582. 26 indexed citations
15.
Chang, Kai, Weiping Lu, Junji Wang, et al.. (2012). Rapid and effective diagnosis of tuberculosis and rifampicin resistance with Xpert MTB/RIF assay: A meta-analysis. Journal of Infection. 64(6). 580–588. 203 indexed citations
16.
Chang, Kai, Weiping Lu, Kejun Zhang, et al.. (2012). Rapid urinary trypsinogen-2 test in the early diagnosis of acute pancreatitis: A meta-analysis. Clinical Biochemistry. 45(13-14). 1051–1056. 13 indexed citations
17.
Chang, Kai, Shaoli Deng, Weiping Lu, et al.. (2012). Association between CD209 -336A/G and -871A/G Polymorphisms and Susceptibility of Tuberculosis: A Meta-Analysis. PLoS ONE. 7(7). e41519–e41519. 18 indexed citations
18.
Li, Fake, Ruxiu Tie, Kai Chang, et al.. (2012). Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and ca125 in predicting epithelial ovarian cancer: A meta-analysis. BMC Cancer. 12(1). 258–258. 98 indexed citations
19.
20.
Yuan, Tao, et al.. (2010). Association of DNA repair gene XRCC1 and XPD polymorphisms with genetic susceptibility to gastric cancer in a Chinese population. Cancer Epidemiology. 35(2). 170–174. 39 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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