Jinke Yang

450 total citations · 1 hit paper
23 papers, 301 citations indexed

About

Jinke Yang is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, Jinke Yang has authored 23 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 9 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Infectious Diseases. Recurrent topics in Jinke Yang's work include Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (9 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jinke Yang is often cited by papers focused on Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (9 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jinke Yang collaborates with scholars based in China. Jinke Yang's co-authors include Hao Yu, Xijuan Shi, Haixue Zheng, Xiangtao Liu, Dajun Zhang, Chaochao Shen, Bo Yang, Keshan Zhang, Keshan Zhang and Xuehui Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Jinke Yang

21 papers receiving 298 citations

Hit Papers

MGF360-9L Is a Major Virulence Factor Associated with the... 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MGF360-9L Is a Major Virulence Factor Associated with the African Swine Fever Virus by Antagonizing the JAK/STAT Signaling Pathway
    2022 86 citations Keshan Zhang, Bo Yang et al. mBio profile →

Peers

Jinke Yang
Xijuan Shi China
Chaochao Shen China
Dajun Zhang China
Weiye Chen China
Guozheng Cong China
Wei Wen China
Claire Pardieu United Kingdom
Maria Fernanda de Castro‐Amarante Brazil
Gao Feng-shan China
Austin B. Moyle United States
Xijuan Shi China
Jinke Yang
Citations per year, relative to Jinke Yang Jinke Yang (= 1×) peers Xijuan Shi

Countries citing papers authored by Jinke Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jinke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinke Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinke Yang. A scholar is included among the top collaborators of Jinke Yang 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 Jinke Yang. Jinke Yang 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
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Shi, Zunji, Xijuan Shi, Dajun Zhang, et al.. (2024). Identification and verification of the role of key metabolites and metabolic pathways on ASFV replication. iScience. 27(4). 109345–109345. 3 indexed citations
3.
Zhang, Dajun, Jinke Yang, Qi Huang, et al.. (2024). Molecular functions of HAX1 during disease progress. Virus Genes. 60(5). 435–445. 1 indexed citations
4.
Wang, Ping, et al.. (2023). Supercapacitive properties of MnNiS @Ti3C2T MXene positive electrode assisted by functionalized ionic liquid. Chinese Journal of Chemical Engineering. 61. 102–109. 3 indexed citations
5.
He, Lu, Jinke Yang, Hao Yu, et al.. (2023). DDX20: A Multifunctional Complex Protein. Molecules. 28(20). 7198–7198. 7 indexed citations
6.
Yang, Bo, Hao Yu, Jinke Yang, et al.. (2023). PI3K–Akt pathway-independent PIK3AP1 identified as a replication inhibitor of the African swine fever virus based on iTRAQ proteomic analysis. Virus Research. 327. 199052–199052. 3 indexed citations
7.
Yang, Jinke, et al.. (2023). Evasion of host defense by Brucella. SHILAP Revista de lepidopterología. 3(1). 100143–100143. 15 indexed citations
8.
Yang, Jinke, Bo Yang, Hao Yu, et al.. (2023). African swine fever virus MGF360-9L promotes viral replication by degrading the host protein HAX1. Virus Research. 336. 199198–199198. 2 indexed citations
9.
10.
Wang, Ping, et al.. (2023). Enhanced electrochemical performance of CoNiSx@Ti3C2Tx electrode material through in-situ doping of cobalt element. Frontiers of Chemical Science and Engineering. 17(10). 1440–1449. 5 indexed citations
11.
Zhang, Ting, Dajun Zhang, Xijuan Shi, et al.. (2022). Component Identification and Analysis of Vesicular Fluid From Swine Infected by Foot-and-Mouth Disease Virus. Frontiers in Veterinary Science. 9. 860978–860978. 1 indexed citations
12.
Xu, Guowei, Xijuan Shi, Huanan Liu, et al.. (2022). Functional Analysis and Proteomics Profiling of Extracellular Vesicles From Swine Plasma Infected by African Swine Fever Virus. Frontiers in Cellular and Infection Microbiology. 12. 809135–809135. 4 indexed citations
13.
Yang, Jinke, Bo Yang, Hao Yu, et al.. (2022). Cyproheptadine hydrochloride inhibits African swine fever viral replication in vitro. Microbial Pathogenesis. 175. 105957–105957. 6 indexed citations
14.
Yu, Hao, Jinke Yang, Bo Yang, et al.. (2022). Identification and analysis of the interaction network of African swine fever virus D1133L with host proteins. Frontiers in Microbiology. 13. 1037346–1037346. 5 indexed citations
15.
Yang, Jinke, Bo Yang, Yong Wang, et al.. (2022). Profiling and functional analysis of differentially expressed circular RNAs identified in foot-and-mouth disease virus infected PK-15 cells. Veterinary Research. 53(1). 24–24. 2 indexed citations
16.
Zhang, Keshan, Bo Yang, Chaochao Shen, et al.. (2022). MGF360-9L Is a Major Virulence Factor Associated with the African Swine Fever Virus by Antagonizing the JAK/STAT Signaling Pathway. mBio. 13(1). e0233021–e0233021. 86 indexed citations breakdown →
17.
Yu, Hao, Bo Yang, Jinke Yang, et al.. (2022). ZBP1: A Powerful Innate Immune Sensor and Double-Edged Sword in Host Immunity. International Journal of Molecular Sciences. 23(18). 10224–10224. 63 indexed citations
18.
Yang, Bo, Chaochao Shen, Dajun Zhang, et al.. (2021). Mechanism of interaction between virus and host is inferred from the changes of gene expression in macrophages infected with African swine fever virus CN/GS/2018 strain. Virology Journal. 18(1). 170–170. 34 indexed citations
19.
Yang, Bo, Chaochao Shen, Dajun Zhang, et al.. (2021). Advanced Research in Porcine Reproductive and Respiratory Syndrome Virus Co-infection With Other Pathogens in Swine. Frontiers in Veterinary Science. 8. 699561–699561. 37 indexed citations
20.

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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