Suwen Qi

1.1k total citations
54 papers, 841 citations indexed

About

Suwen Qi is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Suwen Qi has authored 54 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Epidemiology and 9 papers in Biomedical Engineering. Recurrent topics in Suwen Qi's work include Liver Disease Diagnosis and Treatment (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Systemic Lupus Erythematosus Research (4 papers). Suwen Qi is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Systemic Lupus Erythematosus Research (4 papers). Suwen Qi collaborates with scholars based in China, United States and South Korea. Suwen Qi's co-authors include Qiaoliang Li, Yong Dai, Huisheng Zhang, Zhengxing Wu, Junzhi Yu, Linqian Wang, Wujian Peng, Xin Ouyang, Ni Xie and Peihao Du and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and ACS Applied Materials & Interfaces.

In The Last Decade

Suwen Qi

53 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suwen Qi China 18 253 126 124 95 94 54 841
W. Lance Richards United States 18 238 0.9× 96 0.8× 127 1.0× 39 0.4× 66 0.7× 77 1.5k
Xiaoping Ye China 16 149 0.6× 87 0.7× 119 1.0× 114 1.2× 26 0.3× 79 818
Ken Kobayashi Japan 21 284 1.1× 85 0.7× 228 1.8× 27 0.3× 105 1.1× 140 1.5k
Michael J. Wilson United Kingdom 22 390 1.5× 120 1.0× 37 0.3× 44 0.5× 29 0.3× 62 2.0k
Francesco Donati Italy 19 279 1.1× 54 0.4× 64 0.5× 55 0.6× 98 1.0× 104 1.3k
Takashi Kida Japan 18 244 1.0× 93 0.7× 45 0.4× 433 4.6× 32 0.3× 145 1.1k
Lee Su-Lin United Kingdom 17 131 0.5× 612 4.9× 37 0.3× 111 1.2× 110 1.2× 52 1.3k
Tsuyoshi Yoshida Japan 24 459 1.8× 176 1.4× 92 0.7× 18 0.2× 94 1.0× 152 1.8k
Tina Morrison United States 18 104 0.4× 318 2.5× 77 0.6× 40 0.4× 129 1.4× 28 1.4k

Countries citing papers authored by Suwen Qi

Since Specialization
Citations

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

Fields of papers citing papers by Suwen Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwen Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Suwen Qi. A scholar is included among the top collaborators of Suwen 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 Suwen Qi. Suwen Qi 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.
Li, Yixi, Shengyou Liao, Suwen Qi, et al.. (2022). Combined proteomics and single cell RNA-sequencing analysis to identify biomarkers of disease diagnosis and disease exacerbation for systemic lupus erythematosus. Frontiers in Immunology. 13. 969509–969509. 41 indexed citations
2.
Wu, Zhengxing, Junzhi Yu, Jun Yuan, Min Tan, & Suwen Qi. (2019). Gliding Motion Regulation of a Robotic Dolphin Based on a Controllable Fluke. IEEE Transactions on Industrial Electronics. 67(4). 2945–2953. 21 indexed citations
3.
Wu, Zhengxing, et al.. (2019). Design and Control of a Two-Motor-Actuated Tuna-Inspired Robot System. IEEE Transactions on Systems Man and Cybernetics Systems. 51(8). 4670–4680. 40 indexed citations
4.
Yu, Junzhi, Zhengxing Wu, Zongshuai Su, Tianzhu Wang, & Suwen Qi. (2019). Motion Control Strategies for a Repetitive Leaping Robotic Dolphin. IEEE/ASME Transactions on Mechatronics. 24(3). 913–923. 48 indexed citations
5.
Qi, Suwen, et al.. (2019). Novel Biochemical Insights in the Cerebrospinal Fluid of Patients with Neurosyphilis Based on a Metabonomics Study. Journal of Molecular Neuroscience. 69(1). 39–48. 16 indexed citations
6.
Li, Qiaoliang, et al.. (2019). A Recognition Method of Urine Cast Based On Deep Learning. 157–161. 5 indexed citations
7.
Zuo, Ran, Suwen Qi, Ting Zhu, et al.. (2017). Serum SAA1 and APOE are novel indicators for human cytomegalovirus infection. Scientific Reports. 7(1). 13407–13407. 14 indexed citations
8.
Zhang, Huisheng, et al.. (2016). Determination of C-Reactive Protein Concentration in Serum Based on Chemiluminescence Analysis. 214–217. 3 indexed citations
9.
Qi, Suwen, et al.. (2016). A Pilot Metabolic Profiling Study of Patients With Neonatal Jaundice and Response to Phototherapy. Clinical and Translational Science. 9(4). 216–220. 12 indexed citations
10.
Qi, Suwen, et al.. (2015). Quantitative Proteomic Analysis of Peripheral Blood Mononuclear Cells in Ankylosing Spondylitis by iTRAQ. Clinical and Translational Science. 8(5). 579–583. 11 indexed citations
11.
Qi, Suwen, et al.. (2015). Tripterygium glycosides inhibit inflammatory mediators in the rat synovial RSC-364 cell line stimulated with interleukin-1β. Biomedical Reports. 3(6). 763–766. 19 indexed citations
12.
Lin, Xiuhua, Weiguo Sui, Suwen Qi, et al.. (2015). Quantitative Proteomic Profiling of Renal Tissue in Human Chronic Rejection Biopsy Samples After Renal Transplantation. Transplantation Proceedings. 47(2). 323–331. 5 indexed citations
13.
Sui, Weiguo, Ruohan Zhang, Jiejing Chen, et al.. (2014). Quantitative proteomic analysis of Down syndrome in the umbilical cord blood using iTRAQ. Molecular Medicine Reports. 11(2). 1391–1399. 13 indexed citations
14.
Li, Qiaoliang, Huisheng Zhang, Suwen Qi, et al.. (2013). Continuous Detection of Muscle Aspect Ratio Using Keypoint Tracking in Ultrasonography. IEEE Transactions on Biomedical Engineering. 60(8). 2361–2369. 4 indexed citations
15.
Qi, Suwen, Qiaoliang Li, Wei Rao, et al.. (2013). Determining the Concentration of Procalcitonin Using a Magnetic Particles-based Chemiluminescence Assay for the Clinical Diagnosis of Sepsis. Analytical Sciences. 29(8). 805–810. 17 indexed citations
16.
Qi, Suwen, et al.. (2012). A Pilot Metabolic Profiling Study in Serum of Patients with Chronic Kidney Disease Based on 1H‐NMR‐Spectroscopy. Clinical and Translational Science. 5(5). 379–385. 60 indexed citations
18.
Qi, Suwen. (2012). 1H NMR-based serum metabolic profiling in compensated and decompensated cirrhosis. World Journal of Gastroenterology. 18(3). 285–285. 34 indexed citations
19.
Zhang, Huisheng & Suwen Qi. (2011). A rapid and sensitive chemiluminescence immunoassay based on magnetic particles for squamous cell carcinoma antigen in human serum. Clinica Chimica Acta. 412(17-18). 1572–1577. 33 indexed citations
20.
Wang, Linqian, et al.. (2010). Comparative proteome analysis of peripheral blood mononuclear cells in systemic lupus erythematosus with iTRAQ quantitative proteomics. Rheumatology International. 32(3). 585–593. 34 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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