Shuli Man

3.6k total citations · 3 hit papers
72 papers, 2.9k citations indexed

About

Shuli Man is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Shuli Man has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 22 papers in Biomedical Engineering and 8 papers in Plant Science. Recurrent topics in Shuli Man's work include Biosensors and Analytical Detection (22 papers), Advanced biosensing and bioanalysis techniques (22 papers) and CRISPR and Genetic Engineering (20 papers). Shuli Man is often cited by papers focused on Biosensors and Analytical Detection (22 papers), Advanced biosensing and bioanalysis techniques (22 papers) and CRISPR and Genetic Engineering (20 papers). Shuli Man collaborates with scholars based in China, Australia and Japan. Shuli Man's co-authors include Long Ma, Wenyuan Gao, Changxiao Liu, Guozhen Liu, Yaru Li, Luqi Huang, Yanjun Zhang, Lijuan Yin, Lijuan Yin and Shengying Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shuli Man

71 papers receiving 2.9k citations

Hit Papers

SERS-based CRISPR/Cas assay on microfluidic paper analyti... 2021 2026 2022 2024 2022 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuli Man China 28 2.3k 966 287 198 188 72 2.9k
Simon J. Charnock United Kingdom 34 2.1k 0.9× 1.0k 1.1× 723 2.5× 113 0.6× 284 1.5× 79 3.4k
Zhanglin Lin China 27 1.9k 0.9× 395 0.4× 180 0.6× 94 0.5× 228 1.2× 77 2.5k
Jae‐Gu Pan South Korea 30 1.8k 0.8× 425 0.4× 243 0.8× 87 0.4× 238 1.3× 64 2.7k
Xueqin Lv China 36 2.7k 1.2× 718 0.7× 419 1.5× 82 0.4× 238 1.3× 187 4.0k
Jing Zhu China 27 1.7k 0.7× 580 0.6× 401 1.4× 125 0.6× 161 0.9× 115 2.5k
Marco Terreni Italy 31 2.4k 1.1× 416 0.4× 96 0.3× 122 0.6× 187 1.0× 133 3.1k
Hongzhi Cao China 35 2.4k 1.1× 248 0.3× 445 1.6× 119 0.6× 270 1.4× 105 3.8k
Margit Winkler Austria 31 1.9k 0.8× 424 0.4× 259 0.9× 54 0.3× 195 1.0× 110 2.8k
Vikash Kumar Dubey India 34 1.7k 0.7× 247 0.3× 358 1.2× 274 1.4× 299 1.6× 168 3.3k
T.M. Gloster United Kingdom 35 2.9k 1.3× 699 0.7× 471 1.6× 55 0.3× 206 1.1× 72 3.9k

Countries citing papers authored by Shuli Man

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuli Man

This figure shows the co-authorship network connecting the top 25 collaborators of Shuli Man. A scholar is included among the top collaborators of Shuli Man 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 Shuli Man. Shuli Man 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.
2.
Peng, Weipan, Yajie Liu, Minghui Lu, et al.. (2024). Advances in surface-enhanced Raman scattering detection of foodborne pathogens: From recognition-based fingerprint to molecular diagnosis. Coordination Chemistry Reviews. 518. 216083–216083. 26 indexed citations
4.
Jia, Jingyu, Weipan Peng, Minghui Lu, et al.. (2024). Rapid, on-site and yes-or-no detection of Salmonella typhimurium in foods using Argonaute-enabled assay. Sensors and Actuators B Chemical. 404. 135263–135263. 22 indexed citations
5.
Liu, Zheng, Yu Liu, Shuli Man, et al.. (2023). Functional factors, nutritional value and development strategies of Cornus:A review. Trends in Food Science & Technology. 139. 104121–104121. 5 indexed citations
6.
Li, Yaru, Xiaoqin Tang, Nan Wang, et al.. (2023). Argonaute-DNAzyme tandem biosensing for highly sensitive and simultaneous dual-gene detection of methicillin-resistant Staphylococcus aureus. Biosensors and Bioelectronics. 244. 115758–115758. 43 indexed citations
7.
Man, Shuli, et al.. (2021). Treatment for liver cancer: From sorafenib to natural products. European Journal of Medicinal Chemistry. 224. 113690–113690. 126 indexed citations
8.
Peng, Lei, Jin Zhou, Lijuan Yin, Shuli Man, & Long Ma. (2020). Integration of logic gates to CRISPR/Cas12a system for rapid and sensitive detection of pathogenic bacterial genes. Analytica Chimica Acta. 1125. 162–168. 61 indexed citations
9.
Man, Shuli, et al.. (2020). Toxicological advances of traditional medicine in 2019. Traditional Medicine Research. 5(2). 83–89. 1 indexed citations
10.
Li, Xuejiao, Ying Wang, Jiachen Sun, et al.. (2019). Chemotaxonomic studies of 12 Dioscorea species from China by UHPLC‐QTOF‐MS/MS analysis. Phytochemical Analysis. 31(2). 164–182. 16 indexed citations
11.
Li, Xuejiao, Zhuo Qu, Songsong Jing, et al.. (2018). Dioscin-6′-O-acetate inhibits lung cancer cell proliferation via inducing cell cycle arrest and caspase-dependent apoptosis. Phytomedicine. 53. 124–133. 18 indexed citations
12.
Li, Xuejiao, Jiachen Sun, Xia Li, et al.. (2018). Dioscin-6’-O-acetate impairs migration of lung cancer cells through attenuations of MMP-2 and MMP-9 via NF-κB suppression. Medicinal Chemistry Research. 28(1). 1–12. 7 indexed citations
13.
Li, Xuejiao, Chengcheng Zhao, Songsong Jing, et al.. (2017). Novel phenanthrene and isocoumarin from the rhizomes of Dioscorea nipponica Makino subsp. rosthornii (Prain et Burkill) C. T. Ting (Dioscoreaceae). Bioorganic & Medicinal Chemistry Letters. 27(15). 3595–3601. 19 indexed citations
14.
Zhu, Xinna, Dongdong Zhao, Feiyu Fan, et al.. (2017). The CRISPR/Cas9-facilitated multiplex pathway optimization (CFPO) technique and its application to improve the Escherichia coli xylose utilization pathway. Metabolic Engineering. 43(Pt A). 37–45. 60 indexed citations
15.
Zhang, Liming, et al.. (2013). Antioxidant activity and in vitro digestibility of dialdehyde starches as influenced by their physical and structural properties. Food Chemistry. 149. 296–301. 35 indexed citations
16.
Gao, Wenyuan, et al.. (2011). Isolation and identification of compounds present in rhizomes of Paris axialis H. Li and study of their cytotoxic effects. Latin American Journal of Pharmacy. 9 indexed citations
17.
Liu, Yang, Wenyuan Gao, Shuli Man, et al.. (2011). Biotransformation of rhizoma Paridis saponins by rat intestinal microflora. Latin American Journal of Pharmacy. 1 indexed citations
18.
Gao, Wenyuan, et al.. (2010). Structure-activity relationship study of twelve compounds from Paris polyphylla Smith var. pubescens. Latin American Journal of Pharmacy. 4 indexed citations
19.
Ma, Chaoyi, Wenyuan Gao, Shuli Man, et al.. (2010). A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis. Latin American Journal of Pharmacy. 1 indexed citations
20.
Huang, Lijing, Wenyuan Gao, Xia Li, et al.. (2010). Anti-inflammatory effects of Fritillaria ussuriensis maxim. Latin American Journal of Pharmacy. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026