Sumin Bian

983 total citations
38 papers, 726 citations indexed

About

Sumin Bian is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sumin Bian has authored 38 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 13 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Sumin Bian's work include Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (9 papers) and SARS-CoV-2 detection and testing (8 papers). Sumin Bian is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (9 papers) and SARS-CoV-2 detection and testing (8 papers). Sumin Bian collaborates with scholars based in China, Belgium and United States. Sumin Bian's co-authors include Mohamad Sawan, Ann Gils, Séverine Vermeire, Marc Ferrante, Guoguang Rong, Gert Van Assche, Griet Compernolle, Erwin Dreesen, Bowen Zhu and Bram Verstockt and has published in prestigious journals such as Nature Communications, ACS Nano and Analytica Chimica Acta.

In The Last Decade

Sumin Bian

36 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumin Bian China 17 258 222 217 181 179 38 726
Takahiro Matsuyama Japan 19 56 0.2× 95 0.4× 174 0.8× 316 1.7× 167 0.9× 58 1.1k
Mark A. Sellmyer United States 15 93 0.4× 137 0.6× 89 0.4× 295 1.6× 65 0.4× 35 838
R Seger Switzerland 15 78 0.3× 247 1.1× 57 0.3× 258 1.4× 326 1.8× 37 878
Steve W. Granger United States 9 40 0.2× 380 1.7× 87 0.4× 152 0.8× 317 1.8× 16 976
Ryan Chang United States 17 93 0.4× 111 0.5× 150 0.7× 346 1.9× 263 1.5× 45 1.1k
Xingchen Wu China 20 114 0.4× 37 0.2× 69 0.3× 197 1.1× 176 1.0× 52 1.2k
Daiki Kato Japan 18 64 0.2× 90 0.4× 39 0.2× 197 1.1× 106 0.6× 130 978
Sean P. Gunsten United States 14 109 0.4× 69 0.3× 135 0.6× 253 1.4× 89 0.5× 21 725
Saeko Hayashi Japan 15 73 0.3× 71 0.3× 78 0.4× 183 1.0× 44 0.2× 41 674

Countries citing papers authored by Sumin Bian

Since Specialization
Citations

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

Fields of papers citing papers by Sumin Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumin Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Sumin Bian. A scholar is included among the top collaborators of Sumin Bian 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 Sumin Bian. Sumin Bian 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
2.
Li, Chenzhong, Qionglin Liang, Zhong Li, et al.. (2025). Advancing precision medicine: strategies from organoids research. 1(2). 9410011–9410011. 1 indexed citations
3.
Xu, Zhenci, Xiuzhi Chen, Qutu Jiang, et al.. (2025). Assessing global sustainability performance, imbalance, and coordination over space and time. Nature Communications. 16(1). 9186–9186. 1 indexed citations
4.
Zhang, Hongyong, Zhen Cui, Xixi Song, et al.. (2025). High Quality–Factor All–Dielectric Metacavity for Label–Free Biosensing (Adv. Sci. 4/2025). Advanced Science. 12(4). 1 indexed citations
5.
Zhang, Hongyong, Zhen Cui, Xixi Song, et al.. (2024). High Quality–Factor All–Dielectric Metacavity for Label–Free Biosensing. Advanced Science. 12(4). e2410125–e2410125. 5 indexed citations
6.
Bian, Sumin, Qing Zhang, Yutian Lei, et al.. (2024). Comparative study of trastuzumab modification analysis using mono/multi-epitope affinity technology with LC-QTOF-MS. Journal of Pharmaceutical Analysis. 14(11). 101015–101015. 3 indexed citations
7.
Rong, Guoguang, et al.. (2024). Blocking Superantigen‐Mediated Diseases: Challenges and Future Trends. Journal of Immunology Research. 2024(1). 2313062–2313062. 1 indexed citations
8.
Sun, Jiacheng, Bin Chen, Sumin Bian, et al.. (2023). Manipulating Coupled Field Enhancement in Slot-under-Groove Nanoarrays for Universal Surface-Enhanced Raman Scattering. ACS Nano. 17(22). 22766–22777. 30 indexed citations
9.
Zhang, Hongyong, Pengbo Wang, Yi Su, et al.. (2023). Single neurons on microelectrode array chip: manipulation and analyses. Frontiers in Bioengineering and Biotechnology. 11. 1258626–1258626. 7 indexed citations
10.
Song, Xixi, et al.. (2023). Biosensors for waterborne virus detection: Challenges and strategies. Journal of Pharmaceutical Analysis. 13(11). 1252–1268. 23 indexed citations
11.
Song, Xixi, et al.. (2023). Challenges and perspectives of multi-virus biosensing techniques: A review. Analytica Chimica Acta. 1244. 340860–340860. 31 indexed citations
12.
Su, Yi, et al.. (2023). Heterogeneous-Nucleation Biosensor for Long-Term Collection and Mask-Based Self-Detection of SARS-CoV-2. Biosensors. 13(9). 858–858. 1 indexed citations
13.
Rong, Guoguang, Xi Yang, Huihui Ren, et al.. (2022). A Closed-Loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment. Biosensors. 12(10). 900–900. 4 indexed citations
14.
Bian, Sumin, et al.. (2022). Rapid Optical Biosensing of SARS-CoV-2 Spike Proteins in Artificial Samples. Sensors. 22(10). 3768–3768. 9 indexed citations
15.
Rong, Guoguang, Yi Su, Sumin Bian, et al.. (2022). A high-throughput fully automatic biosensing platform for efficient COVID-19 detection. Biosensors and Bioelectronics. 220. 114861–114861. 17 indexed citations
16.
Zhang, Hongyong, Guoguang Rong, Sumin Bian, & Mohamad Sawan. (2022). Lab-on-Chip Microsystems for Ex Vivo Network of Neurons Studies: A Review. Frontiers in Bioengineering and Biotechnology. 10. 841389–841389. 11 indexed citations
17.
Bian, Sumin, Min Shang, & Mohamad Sawan. (2022). Rapid biosensing SARS-CoV-2 antibodies in vaccinated healthy donors. Biosensors and Bioelectronics. 204. 114054–114054. 22 indexed citations
18.
Bian, Sumin, Sophie Tops, Séverine Vermeire, et al.. (2020). Evaluating an easy sampling method using dried blood spots to determine vedolizumab concentrations. Journal of Pharmaceutical and Biomedical Analysis. 185. 113224–113224. 15 indexed citations
19.
Bian, Sumin, Marc Ferrante, & Ann Gils. (2016). Validation of a Drug-Resistant Anti-Adalimumab Antibody Assay to Monitor Immunogenicity in the Presence of High Concentrations of Adalimumab. The AAPS Journal. 19(2). 468–474. 16 indexed citations
20.
Bian, Sumin, Thomas Van Stappen, Filip Baert, et al.. (2016). Generation and characterization of a unique panel of anti-adalimumab specific antibodies and their application in therapeutic drug monitoring assays. Journal of Pharmaceutical and Biomedical Analysis. 125. 62–67. 28 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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