Yingqi Shi

465 total citations
20 papers, 219 citations indexed

About

Yingqi Shi is a scholar working on Physiology, Plant Science and Molecular Biology. According to data from OpenAlex, Yingqi Shi has authored 20 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Yingqi Shi's work include Gastrointestinal motility and disorders (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Plant biochemistry and biosynthesis (2 papers). Yingqi Shi is often cited by papers focused on Gastrointestinal motility and disorders (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Plant biochemistry and biosynthesis (2 papers). Yingqi Shi collaborates with scholars based in United States, China and Australia. Yingqi Shi's co-authors include Allitia DiBernardo, Fred Freitag, Lian Mao, Joseph Hulihan, Miguel J. A. Láinez, Steven Ascher, James U. Adelman, Steven J. Greenberg, Tim Schultz and William Smith and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Yingqi Shi

17 papers receiving 210 citations

Peers

Yingqi Shi

PMH

PHYSI

GASTR

SURGE

Hans-Jürgen Kühn Germany

Raf Magar United States

Szu‐Ju Chen Taiwan

Maja Baretić Croatia

Lena Brändén Sweden

Orkide Güzel Türkiye

Valentina Paci Italy

Karolina Kowalcze Poland

Parsa Ravanfar Iran

L. Ø. Dolva Norway

Hans-Jürgen Kühn Germany

Yingqi Shi

60 ×0.8

PMH

13 ×0.2

PHYSI

17 ×0.4

GASTR

55 ×1.3

12 ×0.3

SURGE

Citations per year, relative to Yingqi Shi Yingqi Shi (= 1×) peers Hans-Jürgen Kühn

Countries citing papers authored by Yingqi Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yingqi Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqi Shi. A scholar is included among the top collaborators of Yingqi 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 Yingqi Shi. Yingqi 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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20 of 20 papers shown

Zhang, Yaqi, Shan Li, Mingming Dong, et al.. (2025). A molecular module controlling silicon efflux from glandular trichomes is required for fruit bloom formation in cucumber. The Plant Cell. 37(8).

Feng, Zhongxuan, Tian Gao, Shan Li, et al.. (2025). CsLOX facilitates glandular trichome development and increases jasmonate in cucumber (Cucumis sativus L.). Plant Physiology and Biochemistry. 229(Pt A). 110397–110397.

Ahmad, Muhammad Shakeel, Shan Li, Yaru Wang, et al.. (2025). Transcriptomic and Phenotypic Responses of Cucumber Trichome Density to Silver Nitrate and Sodium Thiosulfate Application. International Journal of Molecular Sciences. 26(3). 1298–1298. 1 indexed citations

Lu, Huimin, et al.. (2025). A novel feature extraction method based on dynamic handwriting for Parkinson’s disease detection. PLoS ONE. 20(1). e0318021–e0318021. 2 indexed citations

Wang, Xinyu, Chengran Wang, Yingqi Shi, et al.. (2025). From mitochondria to immune networks: new mesenchymal stem cell strategies to treat periodontitis. Stem Cell Research & Therapy. 16(1). 470–470.

Shan, Nan, Lin Yang, Yingqi Shi, et al.. (2025). The transcription factor CsAPRR2 controls peel color by regulating the expression of SULFURTRANSFERASE14 in cucumber. PLANT PHYSIOLOGY. 198(2). 1 indexed citations

Shi, Yingqi, John C. Kath, Allon G. Percus, et al.. (2024). Bayesian learning of gas transport in three-dimensional fracture networks. Computers & Geosciences. 192. 105700–105700. 1 indexed citations

Liu, Yang, Qingjie Li, Dong Cheol Han, et al.. (2024). Association between serum potassium and Parkinson’s disease in the US (NHANES 2005–2020). Frontiers in Neuroscience. 18. 1387266–1387266. 4 indexed citations

Song, Jieyu, Xiaojia Wang, Yi Zhang, et al.. (2023). Utility of clinical metagenomics in diagnosing malignancies in a cohort of patients with Epstein-Barr virus positivity. Frontiers in Cellular and Infection Microbiology. 13. 1211732–1211732. 8 indexed citations

10.

Dimopoulos, Meletios Α., Peter M. Voorhees, Hartmut Goldschmidt, et al.. (2022). Subcutaneous daratumumab (DARA SC) versus active monitoring in patients (pts) with high-risk smoldering multiple myeloma (SMM): Randomized, open-label, phase 3 AQUILA study.. Journal of Clinical Oncology. 40(16_suppl). TPS8075–TPS8075. 4 indexed citations

11.

Chen, Fei, Guojun Dong, Fang Wang, et al.. (2021). A β‐ketoacyl carrier protein reductase confers heat tolerance via the regulation of fatty acid biosynthesis and stress signaling in rice. New Phytologist. 232(2). 655–672. 49 indexed citations

12.

Liu, Kai‐Li, et al.. (2021). Diffuse Large B-Cell Lymphoma of the Mandible Diagnosed by Metagenomic Sequencing: A Case Report. Frontiers in Medicine. 8. 752523–752523. 9 indexed citations

13.

Henley, David, Reisa A. Sperling, Paul Aisen, et al.. (2019). FTS3‐01‐04: FINAL EFFICACY, SAFETY AND BIOMARKER RESULTS OF THE PHASE 2B/3 RANDOMIZED, DOUBLE‐BLINDED, PLACEBO‐CONTROLLED EARLY TRIAL OF ATABECESTAT IN PRECLINICAL ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 15(7S_Part_17). 1 indexed citations

14.

Ford, Lisa, et al.. (2017). Comprehensive review of visual defects reported with topiramate. Clinical ophthalmology. Volume 11. 983–992. 2 indexed citations

15.

Smith, Timothy R., et al.. (2013). Efficacy and Safety of Carisbamate in Patients with Diabetic Neuropathy or Postherpetic Neuralgia: Results from 3 Randomized, Double‐Blind Placebo‐Controlled Trials. Pain Practice. 14(4). 332–342. 13 indexed citations

16.

Samtani, Mahesh N., Nandini Raghavan, Yingqi Shi, et al.. (2012). Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes. British Journal of Clinical Pharmacology. 75(1). 146–161. 40 indexed citations

17.

Yang, Eric, Michael Farnum, Victor S. Lobanov, et al.. (2012). A Novel Subject Synchronization Clinical Trial Design for Alzheimer's Disease. Journal of Alzheimer s Disease. 31(3). 507–516. 2 indexed citations

18.

Adelman, James U., Fred Freitag, Miguel J. A. Láinez, et al.. (2008). Analysis of Safety and Tolerability Data Obtained from Over 1,500 Patients Receiving Topiramate for Migraine Prevention in Controlled Trials. Pain Medicine. 9(2). 175–185. 40 indexed citations

19.

Smith, William, et al.. (2002). Safety and tolerability of tegaserod in patients with irritable bowel syndrome and diarrhea symptoms. The American Journal of Gastroenterology. 97(5). 1176–1181. 30 indexed citations

20.

Lefkowitz, Marty, et al.. (2000). Validation of a global relief measure in two clinical trials of irritable bowel syndrome with tegaserod. Gastroenterology. 118(4). A145–A145. 12 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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