Haining Shi

846 total citations
20 papers, 618 citations indexed

About

Haining Shi is a scholar working on Infectious Diseases, Parasitology and Molecular Biology. According to data from OpenAlex, Haining Shi has authored 20 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Parasitology and 5 papers in Molecular Biology. Recurrent topics in Haining Shi's work include Parasitic Diseases Research and Treatment (9 papers), Parasites and Host Interactions (7 papers) and Parasite Biology and Host Interactions (5 papers). Haining Shi is often cited by papers focused on Parasitic Diseases Research and Treatment (9 papers), Parasites and Host Interactions (7 papers) and Parasite Biology and Host Interactions (5 papers). Haining Shi collaborates with scholars based in China, United States and France. Haining Shi's co-authors include Xiaolei Liu, Xuelin Wang, Xue Bai, Mingyuan Liu, Mingyuan Liu, Xiuping Wu, Xue Bai, Yong Yang, Pascal Boireau and Jianmin Liu and has published in prestigious journals such as PLoS ONE, Gut and Frontiers in Immunology.

In The Last Decade

Haining Shi

19 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haining Shi China 13 230 209 175 159 105 20 618
Christiane Weissenbacher‐Lang Austria 17 144 0.6× 270 1.3× 148 0.8× 119 0.7× 52 0.5× 54 841
Zhenhua Ji China 13 284 1.2× 225 1.1× 108 0.6× 109 0.7× 24 0.2× 46 738
Kernt Köhler Germany 17 190 0.8× 202 1.0× 88 0.5× 169 1.1× 27 0.3× 60 931
Jean‐Martin Lapointe United States 14 126 0.5× 92 0.4× 84 0.5× 172 1.1× 16 0.2× 33 736
Kee Jun Kim United States 15 358 1.6× 225 1.1× 171 1.0× 213 1.3× 40 0.4× 17 1.2k
Valentina Rausch Germany 7 415 1.8× 83 0.4× 33 0.2× 61 0.4× 52 0.5× 8 860
Jef Brandt Belgium 14 103 0.4× 121 0.6× 389 2.2× 238 1.5× 174 1.7× 30 1.0k
Paul A. Sheehy Australia 19 244 1.1× 113 0.5× 45 0.3× 202 1.3× 76 0.7× 51 982
Zhizhong Jing China 15 276 1.2× 95 0.5× 61 0.3× 234 1.5× 55 0.5× 64 741
Scott A Bowdridge United States 11 79 0.3× 79 0.4× 263 1.5× 260 1.6× 142 1.4× 41 730

Countries citing papers authored by Haining Shi

Since Specialization
Citations

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

Fields of papers citing papers by Haining Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haining Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Haining Shi. A scholar is included among the top collaborators of Haining 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 Haining Shi. Haining 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.
Fan, Jiayao, Bing Liu, Fangyuan Jing, et al.. (2021). Association of a novel antisense lncRNA TP73-AS1 polymorphisms and expression with colorectal cancer susceptibility and prognosis. Genes & Genomics. 44(7). 889–897. 2 indexed citations
2.
Jin, Xuemin, Yong Yang, Jing Ding, et al.. (2020). Nod-like receptor pyrin domain containing 3 plays a key role in the development of Th2 cell-mediated host defenses against Trichinella spiralis infection. Veterinary Parasitology. 297. 109159–109159. 4 indexed citations
3.
Yang, Yong, Lei Liu, Xiaolei Liu, et al.. (2020). Extracellular Vesicles Derived From Trichinella spiralis Muscle Larvae Ameliorate TNBS-Induced Colitis in Mice. Frontiers in Immunology. 11. 1174–1174. 58 indexed citations
4.
Jin, Xuemin, Xue Bai, Yong Yang, et al.. (2020). NLRP3 played a role in Trichinella spiralis-triggered Th2 and regulatory T cells response. Veterinary Research. 51(1). 107–107. 20 indexed citations
5.
Jin, Xuemin, Yong Yang, Xue Bai, et al.. (2019). Dendritic cells treated by Trichinella spiralis muscle larval excretory/secretory products alleviate TNBS-induced colitis in mice. International Immunopharmacology. 70. 378–386. 26 indexed citations
6.
Jin, Xuemin, Yong Yang, Xiaolei Liu, et al.. (2019). Glutathione-S-transferase of Trichinella spiralis regulates maturation and function of dendritic cells. Parasitology. 146(14). 1725–1732. 17 indexed citations
7.
Cherayil, Bobby J., et al.. (2019). Food Allergy. 9 indexed citations
8.
Wang, Aiping, Jia Rui, Yunchao Liu, et al.. (2019). Development of a novel quantitative real‐time PCR assay with lyophilized powder reagent to detect African swine fever virus in blood samples of domestic pigs in China. Transboundary and Emerging Diseases. 67(1). 284–297. 47 indexed citations
9.
Fu, Linglin, Bobby J. Cherayil, Haining Shi, Yanbo Wang, & Yang Zhu. (2019). Food Allergy: From Molecular Mechanisms to Control Strategies. Data Archiving and Networked Services (DANS). 7 indexed citations
10.
Gao, He, Bin Tang, Xue Bai, et al.. (2018). Characterization of an antigenic serine protease in the Trichinella spiralis adult. Experimental Parasitology. 195. 8–18. 13 indexed citations
11.
Wang, Yang, Xue Bai, Xuelin Wang, et al.. (2017). Immunoproteomic analysis of the excretory-secretory products of Trichinella pseudospiralis adult worms and newborn larvae. Parasites & Vectors. 10(1). 579–579. 22 indexed citations
12.
Ding, Jing, Xue Bai, Xuelin Wang, et al.. (2017). Immune Cell Responses and Cytokine Profile in Intestines of Mice Infected with Trichinella spiralis. Frontiers in Microbiology. 8. 2069–2069. 48 indexed citations
13.
Tang, Bin, Mingyuan Liu, Haining Shi, et al.. (2015). Characterisation of a high-frequency gene encoding a strongly antigenic cystatin-like protein from Trichinella spiralis at its early invasion stage. Parasites & Vectors. 8(1). 78–78. 39 indexed citations
14.
Tulić, Meri K., Mylène Vivinus-Nébot, Akila Rekima, et al.. (2015). Presence of commensal house dust mite allergen in human gastrointestinal tract: a potential contributor to intestinal barrier dysfunction. Gut. 65(5). 757–766. 56 indexed citations
15.
Liu, Pan, Xiuping Wu, Chengshui Liao, et al.. (2014). Escherichia coli and Candida albicans Induced Macrophage Extracellular Trap-Like Structures with Limited Microbicidal Activity. PLoS ONE. 9(2). e90042–e90042. 106 indexed citations
16.
Feng, Shuang, Xiuping Wu, Xuelin Wang, et al.. (2013). Vaccination of Mice with an Antigenic Serine Protease-Like Protein Elicits a Protective Immune Response AgainstTrichinella spiralisInfection. Journal of Parasitology. 99(3). 426–432. 33 indexed citations
17.
Shi, Haining, et al.. (2012). Aging and Life Assessment of Large and Medium-sized Power Transformers in Nuclear Power Plants. 27. 768–772. 6 indexed citations
18.
Shi, Jie, Lu Zhang, Yan Liu, Haining Shi, & Jianlin Yao. (2011). Variable accelerated factor lifetime test and evaluation system for fuse. 31. V4–159.
19.
20.
Liu, Jianmin, Sherry L. Ball, Yuan Yang, et al.. (2006). A genetic model for muscle–eye–brain disease in mice lacking protein O-mannose 1,2-N-acetylglucosaminyltransferase (POMGnT1). Mechanisms of Development. 123(3). 228–240. 100 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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