Ding Shi

5.7k total citations · 1 hit paper
50 papers, 2.5k citations indexed

About

Ding Shi is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Ding Shi has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 24 papers in Epidemiology and 16 papers in Infectious Diseases. Recurrent topics in Ding Shi's work include Liver Disease Diagnosis and Treatment (22 papers), Gut microbiota and health (20 papers) and Liver Disease and Transplantation (11 papers). Ding Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (22 papers), Gut microbiota and health (20 papers) and Liver Disease and Transplantation (11 papers). Ding Shi collaborates with scholars based in China, United States and Australia. Ding Shi's co-authors include Daiqiong Fang, Lanjuan Li, Wenrui Wu, Jianzhong Ye, Longxian Lv, Yanfei Chen, Jing Guo, Feifei Guo, Yating Li and Xiaoyuan Bian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ding Shi

49 papers receiving 2.5k citations

Hit Papers

Administration of Akkermansia muciniphila Ameliorates Dex... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Shi China 25 1.5k 766 508 397 389 50 2.5k
Daiqiong Fang China 23 1.4k 0.9× 699 0.9× 400 0.8× 377 0.9× 419 1.1× 36 2.3k
Bangmao Wang China 30 2.0k 1.3× 549 0.7× 338 0.7× 516 1.3× 389 1.0× 149 3.5k
Jonathan A. Lidbury United States 26 1.3k 0.9× 315 0.4× 727 1.4× 366 0.9× 347 0.9× 130 2.3k
Longxian Lv China 35 2.6k 1.7× 761 1.0× 629 1.2× 547 1.4× 969 2.5× 73 4.0k
Marta Llopis Spain 16 1.2k 0.8× 641 0.8× 276 0.5× 481 1.2× 367 0.9× 23 1.9k
Mohammed Nabil Quraishi United Kingdom 19 2.0k 1.3× 676 0.9× 1.1k 2.1× 543 1.4× 311 0.8× 63 3.3k
Sofia Reddel Italy 21 1.3k 0.9× 508 0.7× 313 0.6× 524 1.3× 152 0.4× 40 2.2k
Julie A. K. McDonald United Kingdom 27 1.7k 1.1× 470 0.6× 693 1.4× 515 1.3× 439 1.1× 60 2.7k
Maureen Bower United States 7 1.4k 0.9× 544 0.7× 403 0.8× 417 1.1× 110 0.3× 8 2.2k
Encarna Varela Spain 21 1.3k 0.9× 394 0.5× 494 1.0× 308 0.8× 260 0.7× 39 2.3k

Countries citing papers authored by Ding Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ding Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Shi. A scholar is included among the top collaborators of Ding 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 Ding Shi. Ding Shi 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.
Lv, Jiawen, Guanjing Lang, Qiangqiang Wang, et al.. (2024). Lactobacillus helveticus attenuates alcoholic liver injury via regulation of gut microecology in mice. Microbial Biotechnology. 17(10). e70016–e70016. 4 indexed citations
2.
Lv, Longxian, Ling Peng, Ding Shi, et al.. (2022). Probiotic Combination CBLEB Alleviates Streptococcus pneumoniae Infection Through Immune Regulation in Immunocompromised Rats. SHILAP Revista de lepidopterología. 6 indexed citations
3.
Chen, Yanfei, Cheng Ding, Ling Yu, et al.. (2021). One-year follow-up of chest CT findings in patients after SARS-CoV-2 infection. BMC Medicine. 19(1). 191–191. 50 indexed citations
5.
Ni, Qin, Cheng Ding, Yongtao Li, et al.. (2020). Effect of low-to-moderate dose glucocorticoids on viral clearance in COVID-19: a retrospective study. 13(1). 21–24. 4 indexed citations
6.
Xie, Jiaojiao, Ding Shi, Wenrui Wu, et al.. (2020). A Predictive Nomogram for Predicting Improved Clinical Outcome Probability in Patients with COVID-19 in Zhejiang Province, China. Engineering. 8. 122–129. 14 indexed citations
8.
Li, Yating, Jianzhong Ye, Longxian Lv, et al.. (2019). Pretreatment With Bacillus cereus Preserves Against D-Galactosamine-Induced Liver Injury in a Rat Model. Frontiers in Microbiology. 10. 1751–1751. 19 indexed citations
9.
Xu, Hong, Jianzhong Ye, Ding Shi, et al.. (2019). Efficacy of Lactobacillus rhamnosus GG in treatment of acute pediatric diarrhea: A systematic review with meta-analysis. World Journal of Gastroenterology. 25(33). 4999–5016. 61 indexed citations
10.
Bian, Xiaoyuan, Wenrui Wu, Liya Yang, et al.. (2019). Administration of Akkermansia muciniphila Ameliorates Dextran Sulfate Sodium-Induced Ulcerative Colitis in Mice. Frontiers in Microbiology. 10. 2259–2259. 418 indexed citations breakdown →
11.
Li, Yating, Longxian Lv, Jianzhong Ye, et al.. (2018). Bifidobacterium adolescentis CGMCC 15058 alleviates liver injury, enhances the intestinal barrier and modifies the gut microbiota in d-galactosamine-treated rats. Applied Microbiology and Biotechnology. 103(1). 375–393. 52 indexed citations
13.
Chen, Yanfei, Jing Guo, Ding Shi, et al.. (2018). Ascitic Bacterial Composition Is Associated With Clinical Outcomes in Cirrhotic Patients With Culture-Negative and Non-neutrocytic Ascites. Frontiers in Cellular and Infection Microbiology. 8. 420–420. 15 indexed citations
14.
Wu, Wenrui, Daiqiong Fang, Ding Shi, Xiaoyuan Bian, & Lanjuan Li. (2018). Effects of marital status on survival of hepatocellular carcinoma by race/ethnicity and gender. Cancer Management and Research. Volume 10. 23–32. 12 indexed citations
15.
Shi, Ding, Longxian Lv, Daiqiong Fang, et al.. (2017). Administration of Lactobacillus salivarius LI01 or Pediococcus pentosaceus LI05 prevents CCl4-induced liver cirrhosis by protecting the intestinal barrier in rats. Scientific Reports. 7(1). 6927–6927. 76 indexed citations
16.
Hu, Chenxia, Ning Zhou, ­Jun Li­, et al.. (2016). Porcine Adipose-Derived Mesenchymal Stem Cells Retain Their Stem Cell Characteristics and Cell Activities While Enhancing the Expression of Liver-Specific Genes after Acute Liver Failure. International Journal of Molecular Sciences. 17(1). 62–62. 16 indexed citations
17.
Chen, Yanfei, Feng Ji, Jing Guo, et al.. (2016). Dysbiosis of small intestinal microbiota in liver cirrhosis and its association with etiology. Scientific Reports. 6(1). 34055–34055. 161 indexed citations
18.
Chen, Yanfei, Nan Qin, Jing Guo, et al.. (2014). Functional gene arrays-based analysis of fecal microbiomes in patients with liver cirrhosis. BMC Genomics. 15(1). 753–753. 35 indexed citations
19.
Shi, Ding. (2001). Preliminary study of insulin resistance induced by neonatal monosodium glutamate treatment in normal Wistar rats. Zhongguo yaolixue tongbao. 2 indexed citations
20.
Shi, Ding. (2000). Cost-effectiveness analysis on sequential screening of gastric cancer. 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.

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