Shuna Jin

1.2k total citations
60 papers, 900 citations indexed

About

Shuna Jin is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shuna Jin has authored 60 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Pathology and Forensic Medicine and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shuna Jin's work include Metabolomics and Mass Spectrometry Studies (13 papers), Traditional Chinese Medicine Analysis (8 papers) and Natural product bioactivities and synthesis (8 papers). Shuna Jin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Traditional Chinese Medicine Analysis (8 papers) and Natural product bioactivities and synthesis (8 papers). Shuna Jin collaborates with scholars based in China, United States and Israel. Shuna Jin's co-authors include Chengwu Song, Wei Xia, Xiaojie Sun, Shunqing Xu, Hongliang Jiang, Sen Li, Yangqian Jiang, Yuanyuan Li, Yulin Feng and Hongxiu Liu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Shuna Jin

57 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuna Jin China 20 292 263 141 96 91 60 900
Selvaraj Miltonprabu India 14 222 0.8× 212 0.8× 99 0.7× 87 0.9× 23 0.3× 28 826
Chenjiang Ying China 25 399 1.4× 604 2.3× 103 0.7× 223 2.3× 144 1.6× 60 1.8k
Mahfoud Messarah Algeria 19 205 0.7× 167 0.6× 81 0.6× 67 0.7× 43 0.5× 55 1.1k
Angela L. Slitt United States 16 277 0.9× 140 0.5× 89 0.6× 31 0.3× 63 0.7× 23 769
Amel Boumendjel Algeria 20 197 0.7× 157 0.6× 80 0.6× 72 0.8× 42 0.5× 49 1.1k
Smarajit Maiti India 21 538 1.8× 286 1.1× 301 2.1× 105 1.1× 20 0.2× 95 1.4k
Jafar Shahraki Iran 16 240 0.8× 83 0.3× 90 0.6× 45 0.5× 79 0.9× 35 677
Zahangir Alam Saud Bangladesh 20 278 1.0× 483 1.8× 363 2.6× 28 0.3× 29 0.3× 52 1.2k
L.L. de Zwart Netherlands 10 252 0.9× 259 1.0× 43 0.3× 46 0.5× 42 0.5× 13 1.1k

Countries citing papers authored by Shuna Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shuna Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuna Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuna Jin. A scholar is included among the top collaborators of Shuna Jin 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 Shuna Jin. Shuna Jin 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.
Zhang, Jinrong, et al.. (2025). Cuscutae Semen in depression-induced ovarian dysfunction: metabolomics with UPLC-QToF-MS in female mice. Frontiers in Molecular Biosciences. 12. 1595602–1595602. 1 indexed citations
3.
Liu, Yukun, Meiling Guo, Yiping Li, et al.. (2024). Unravelling the hypoglycemic mechanism of Fuzhuan brick tea: insights into intestinal microbiota and metabolites in type 2 diabetes mellitus mice. International Journal of Food Science & Technology. 59(8). 5398–5410.
4.
Song, Chengwu, Yiping Li, Jingnan Ren, et al.. (2024). Constituent-taste relationship of Kuding tea fermented by Aspergillus neoniger and Aspergillus cristatus: Unveiling taste characteristics through untargeted metabolomics. Food Bioscience. 62. 105027–105027. 4 indexed citations
5.
Zhao, Xueyan, Lijun Zhang, Shan Cao, et al.. (2024). Integrating transcriptomics and metabolomics to uncover key metabolic mechanisms of mistletoe parasitism on diverse hosts. Environmental and Experimental Botany. 229. 106077–106077. 1 indexed citations
6.
Song, Chengwu, et al.. (2024). Targeted Screening of Curcumin Derivatives as Pancreatic Lipase Inhibitors Using Computer-Aided Drug Design. ACS Omega. 9(25). 27669–27679. 3 indexed citations
7.
8.
Jin, Shuna, Yuan Zhou, Li Ding, et al.. (2024). Mechanism of Salvia miltiorrhiza Bunge extract to alleviate Chronic Sleep Deprivation-Induced cognitive dysfunction in rats. Phytomedicine. 130. 155725–155725. 19 indexed citations
9.
Jin, Shuna, et al.. (2022). Analysis of the Influencing Factors of Immunological Nonresponders in Wuhan, China. Canadian Journal of Infectious Diseases and Medical Microbiology. 2022. 1–8. 2 indexed citations
10.
11.
Shu, Huan, Shuna Jin, Hongxiu Liu, et al.. (2021). Fine particulate matter exposure and perturbation of serum metabolome: A longitudinal study in Baoding, China. Chemosphere. 276. 130102–130102. 12 indexed citations
12.
Chen, Guangya, Yi Lv, Wei Ni, et al.. (2020). Associations between Phase Angle Values Obtained by Bioelectrical Impedance Analysis and Nonalcoholic Fatty Liver Disease in an Overweight Population. Canadian Journal of Gastroenterology and Hepatology. 2020. 1–7. 16 indexed citations
13.
Song, Chengwu, et al.. (2020). A novel predict-verify strategy for targeted metabolomics: Comparison of the curcuminoids between crude and fermented turmeric. Food Chemistry. 331. 127281–127281. 13 indexed citations
14.
Sun, Xiaojie, Wenyu Liu, Bin Zhang, et al.. (2019). Maternal Heavy Metal Exposure, Thyroid Hormones, and Birth Outcomes: A Prospective Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 104(11). 5043–5052. 57 indexed citations
15.
Li, Han, Kai Huang, Shuna Jin, et al.. (2019). Environmental cadmium exposure induces alterations in the urinary metabolic profile of pregnant women. International Journal of Hygiene and Environmental Health. 222(3). 556–562. 21 indexed citations
16.
Sun, Xiaojie, Jiufeng Li, Shuna Jin, et al.. (2018). Associations between repeated measures of maternal urinary phthalate metabolites during pregnancy and cord blood glucocorticoids. Environment International. 121(Pt 1). 471–479. 30 indexed citations
17.
Jin, Shuna, Wei Xia, Yangqian Jiang, et al.. (2018). Urinary vanadium concentration in relation to premature rupture of membranes: A birth cohort study. Chemosphere. 210. 1035–1041. 19 indexed citations
18.
Sun, Xiaojie, Yangqian Jiang, Wei Xia, et al.. (2018). Association between prenatal nickel exposure and preterm low birth weight: possible effect of selenium. Environmental Science and Pollution Research. 25(26). 25888–25895. 24 indexed citations
19.
Jiang, Yangqian, Wei Xia, Bin Zhang, et al.. (2017). Predictors of thallium exposure and its relation with preterm birth. Environmental Pollution. 233. 971–976. 55 indexed citations
20.
Chen, Guiying, Chengwu Song, Shuna Jin, et al.. (2016). An integrated strategy for establishment of metabolite profile of endogenous lysoglycerophospholipids by two LC-MS/MS platforms. Talanta. 162. 530–539. 18 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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