Xutong Shi

753 total citations
10 papers, 621 citations indexed

About

Xutong Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Xutong Shi has authored 10 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Xutong Shi's work include Metabolomics and Mass Spectrometry Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Diet and metabolism studies (3 papers). Xutong Shi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Diet and metabolism studies (3 papers). Xutong Shi collaborates with scholars based in United States, China and Israel. Xutong Shi's co-authors include Zhenjia Wang, Can Yang Zhang, Xinyue Dong, Dafeng Chu, Jin Gao, Maryam Davaritouchaee, Rock J. Mancini, Wenjing Lin, Jean‐Baptiste Roullet and Cidi Chen and has published in prestigious journals such as Advanced Materials, ACS Applied Materials & Interfaces and Biophysical Journal.

In The Last Decade

Xutong Shi

10 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xutong Shi United States	6	384	190	170	141	130	10	621
Ze‐Nan Zhuang China	9	422 1.1×	214 1.1×	102 0.6×	98 0.7×	167 1.3×	11	643
Jingxing Yang China	14	486 1.3×	241 1.3×	176 1.0×	224 1.6×	158 1.2×	27	800
Xiang Gong China	13	460 1.2×	249 1.3×	106 0.6×	191 1.4×	217 1.7×	31	867
Mengsi Zhan China	16	484 1.3×	342 1.8×	92 0.5×	203 1.4×	247 1.9×	37	869
Fengyun Shen China	14	491 1.3×	328 1.7×	78 0.5×	239 1.7×	210 1.6×	26	829
Duo Gao China	12	346 0.9×	150 0.8×	168 1.0×	209 1.5×	76 0.6×	40	626
Xuemeng Guo China	12	242 0.6×	218 1.1×	76 0.4×	221 1.6×	73 0.6×	28	584
Feiyang Jin China	10	245 0.6×	134 0.7×	67 0.4×	98 0.7×	117 0.9×	14	424

Countries citing papers authored by Xutong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xutong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xutong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xutong Shi. A scholar is included among the top collaborators of Xutong Shi 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 Xutong Shi. Xutong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Jeevan, B., Haiyang Wei, Xutong Shi, et al.. (2023). Allosteric modulation of α1β3γ2 GABAA receptors by farnesol through the neurosteroid sites. Biophysical Journal. 122(5). 849–867. 2 indexed citations

Saber, Wardiya Afshar, Kellen D. Winden, Xutong Shi, et al.. (2023). ALDH5A1-deficient iPSC-derived excitatory and inhibitory neurons display cell type specific alterations. Neurobiology of Disease. 190. 106386–106386. 8 indexed citations

Doyle, William J., et al.. (2023). Farnesol brain transcriptomics in CNS inflammatory demyelination. Clinical Immunology. 255. 109752–109752. 6 indexed citations

Papadelis, Christos, Itay Tokatly Latzer, Onur Afacan, et al.. (2023). Reduced evoked cortical beta and gamma activity and neuronal synchronization in succinic semialdehyde dehydrogenase deficiency, a disorder of γ-aminobutyric acid metabolism. Brain Communications. 5(6). fcad291–fcad291. 1 indexed citations

Kirby, Trevor O., et al.. (2021). Intestinal Dysbiosis as a component of pathophysiology in succinic semialdehyde dehydrogenase deficiency (SSADHD). Molecular Genetics and Metabolism. 135(1). 42–46. 2 indexed citations

Vogel, Kara R., et al.. (2020). Transcriptome analysis in mice treated with vigabatrin identifies dysregulation of genes associated with retinal signaling circuitry. Epilepsy Research. 166. 106395–106395. 1 indexed citations

Kirby, Trevor O., Xutong Shi, Coleman Turgeon, et al.. (2020). Novel biomarkers and age-related metabolite correlations in plasma and dried blood spots from patients with succinic semialdehyde dehydrogenase deficiency. Orphanet Journal of Rare Diseases. 15(1). 261–261. 5 indexed citations

Zhang, Can Yang, Wenjing Lin, Jin Gao, et al.. (2019). pH-Responsive Nanoparticles Targeted to Lungs for Improved Therapy of Acute Lung Inflammation/Injury. ACS Applied Materials & Interfaces. 11(18). 16380–16390. 122 indexed citations

Shi, Xutong, Can Yang Zhang, Jin Gao, & Zhenjia Wang. (2019). Recent advances in photodynamic therapy for cancer and infectious diseases. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 11(5). e1560–e1560. 159 indexed citations

10.

Chu, Dafeng, Xinyue Dong, Xutong Shi, Can Yang Zhang, & Zhenjia Wang. (2018). Neutrophil‐Based Drug Delivery Systems. Advanced Materials. 30(22). e1706245–e1706245. 315 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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