Senhong Ying

610 total citations · 1 hit paper
10 papers, 403 citations indexed

About

Senhong Ying is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Senhong Ying has authored 10 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Physiology. Recurrent topics in Senhong Ying's work include Gut microbiota and health (3 papers), Salivary Gland Disorders and Functions (2 papers) and Gastrointestinal motility and disorders (2 papers). Senhong Ying is often cited by papers focused on Gut microbiota and health (3 papers), Salivary Gland Disorders and Functions (2 papers) and Gastrointestinal motility and disorders (2 papers). Senhong Ying collaborates with scholars based in China and United States. Senhong Ying's co-authors include Minjia Chen, Guangcong Ruan, Yanling Wei, Fenghua Xu, Linling Lv, Ping Yi, Yi Cheng, Dongfeng Chen, Wen Tang and Hongyan Chen and has published in prestigious journals such as Gene, Poultry Science and Lara D. Veeken.

In The Last Decade

Senhong Ying

9 papers receiving 399 citations

Hit Papers

Efficacy of fecal microbi... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senhong Ying China 8 223 99 94 84 52 10 403
Guangcong Ruan China 9 358 1.6× 134 1.4× 117 1.2× 90 1.1× 53 1.0× 13 599
Yingren Mai China 10 189 0.8× 121 1.2× 31 0.3× 39 0.5× 25 0.5× 19 381
Christopher Newell Canada 11 238 1.1× 176 1.8× 35 0.4× 20 0.2× 63 1.2× 20 488
Mei Luo China 13 271 1.2× 136 1.4× 137 1.5× 33 0.4× 7 0.1× 37 552
Ayumi Tsuda Japan 10 161 0.7× 52 0.5× 146 1.6× 36 0.4× 29 0.6× 18 418
D. N. Khochanskiy Russia 5 200 0.9× 77 0.8× 41 0.4× 21 0.3× 57 1.1× 11 330
Dina Vojinović Netherlands 9 298 1.3× 172 1.7× 10 0.1× 32 0.4× 12 0.2× 20 458
Rongxuan Hua China 11 189 0.8× 99 1.0× 37 0.4× 31 0.4× 4 0.1× 22 401
Martin B.M. de Smet Netherlands 11 87 0.4× 58 0.6× 55 0.6× 14 0.2× 9 0.2× 14 382
Xuena Yang China 11 157 0.7× 69 0.7× 8 0.1× 15 0.2× 18 0.3× 88 435

Countries citing papers authored by Senhong Ying

Since Specialization
Citations

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

Fields of papers citing papers by Senhong Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senhong Ying

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

All Works

10 of 10 papers shown
1.
Ying, Senhong, et al.. (2025). Spatial analysis of airborne bacterial concentrations and microbial communities in a large-scale commercial layer facility. Poultry Science. 104(5). 105021–105021. 1 indexed citations
3.
Wang, Xiaobing, Senhong Ying, Xin Liao, et al.. (2023). Increased RNA editing sites revealed as potential novel biomarkers for diagnosis in primary Sjögren's syndrome. Journal of Autoimmunity. 138. 103035–103035. 7 indexed citations
4.
Cheng, Yi, Qihui Zhu, Chun Wang, et al.. (2023). Efficacy of fecal microbiota transplantation in patients with Parkinson’s disease: clinical trial results from a randomized, placebo-controlled design. Gut Microbes. 15(2). 2284247–2284247. 81 indexed citations breakdown →
5.
Chen, Minjia, Guangcong Ruan, Lu Chen, et al.. (2022). Neurotransmitter and Intestinal Interactions: Focus on the Microbiota-Gut-Brain Axis in Irritable Bowel Syndrome. Frontiers in Endocrinology. 13. 817100–817100. 79 indexed citations
6.
Li, Ning, Hongyan Chen, Yi Cheng, et al.. (2021). Fecal Microbiota Transplantation Relieves Gastrointestinal and Autism Symptoms by Improving the Gut Microbiota in an Open-Label Study. Frontiers in Cellular and Infection Microbiology. 11. 759435–759435. 142 indexed citations
7.
Zhang, Tao, Kun Pang, Xin Liao, et al.. (2021). Characteristic dysbiosis in gout and the impact of a uric acid-lowering treatment, febuxostat on the gut microbiota. Journal of genetics and genomics. 48(9). 781–791. 37 indexed citations
8.
Li, Chenlu, Jing Luo, Xin Xu, et al.. (2020). Single cell sequencing revealed the underlying pathogenesis of the development of osteoarthritis. Gene. 757. 144939–144939. 19 indexed citations
9.
Luo, Jing, Xin Liao, Lihe Zhang, et al.. (2020). Transcriptome Sequencing Reveals Potential Roles of ICOS in Primary Sjögren’s Syndrome. Frontiers in Cell and Developmental Biology. 8. 592490–592490. 20 indexed citations
10.
Chen, Xiaohong, Zihao Zhou, Xin Xu, et al.. (2020). Increased expression of interleukin-21-inducible genes in minor salivary glands are associated with primary Sjögren’s syndrome disease characteristics. Lara D. Veeken. 60(6). 2979–2989. 17 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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