Chia-Ming Su

443 total citations
10 papers, 303 citations indexed

About

Chia-Ming Su is a scholar working on Animal Science and Zoology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Chia-Ming Su has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Animal Science and Zoology, 6 papers in Infectious Diseases and 5 papers in Agronomy and Crop Science. Recurrent topics in Chia-Ming Su's work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (3 papers). Chia-Ming Su is often cited by papers focused on Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (3 papers). Chia-Ming Su collaborates with scholars based in United States, China and Taiwan. Chia-Ming Su's co-authors include Dongwan Yoo, Leyi Wang, Raymond R. R. Rowland, Shuen‐Ei Chen, Rosemary L. Walzem, San‐Yuan Huang, Yuhui Chen, Yijun Du, Jiyoun Kim and Federico A. Zuckermann and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and PLoS Pathogens.

In The Last Decade

Chia-Ming Su

10 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Ming Su United States 6 187 153 89 51 51 10 303
Panrao Liu China 12 134 0.7× 147 1.0× 122 1.4× 92 1.8× 64 1.3× 18 344
Zhaoyang Ji China 11 246 1.3× 246 1.6× 136 1.5× 53 1.0× 25 0.5× 28 344
Jesús Zepeda–Cervantes Mexico 9 212 1.1× 49 0.3× 39 0.4× 187 3.7× 89 1.7× 17 443
Myeon‐Sik Yang South Korea 10 120 0.6× 37 0.2× 29 0.3× 58 1.1× 25 0.5× 37 268
Yeong‐Bin Baek South Korea 13 194 1.0× 152 1.0× 58 0.7× 107 2.1× 58 1.1× 33 375
Nicholas Catanzaro United States 9 130 0.7× 90 0.6× 65 0.7× 30 0.6× 19 0.4× 12 223
Dong‐Gyun Lim South Korea 10 133 0.7× 106 0.7× 160 1.8× 86 1.7× 149 2.9× 16 606
Javier Cantón Spain 5 292 1.6× 100 0.7× 21 0.2× 113 2.2× 89 1.7× 5 395
Ching-Ping Chan Hong Kong 8 249 1.3× 48 0.3× 18 0.2× 112 2.2× 139 2.7× 8 457
Baojing Lu China 9 179 1.0× 46 0.3× 24 0.3× 105 2.1× 76 1.5× 16 340

Countries citing papers authored by Chia-Ming Su

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ming Su. 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 Chia-Ming Su. The network helps show where Chia-Ming Su may publish in the future.

Co-authorship network of co-authors of Chia-Ming Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ming Su. A scholar is included among the top collaborators of Chia-Ming Su 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 Chia-Ming Su. Chia-Ming Su 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
2.
Su, Chia-Ming, Federico A. Zuckermann, Robert J. Husmann, et al.. (2024). A clinically attenuated double-mutant of porcine reproductive and respiratory syndrome virus-2 that does not prompt overexpression of proinflammatory cytokines during co-infection with a secondary pathogen. PLoS Pathogens. 20(3). e1012128–e1012128. 5 indexed citations
3.
Su, Chia-Ming, et al.. (2023). Suppression of TRIM19 by arterivirus nonstructural protein 1 promotes viral replication. Virus Research. 340. 199302–199302. 2 indexed citations
4.
Su, Chia-Ming, Yijun Du, Raymond R. R. Rowland, Qiuhong Wang, & Dongwan Yoo. (2023). Reprogramming viral immune evasion for a rational design of next-generation vaccines for RNA viruses. Frontiers in Immunology. 14. 1172000–1172000. 6 indexed citations
5.
Su, Chia-Ming, Leyi Wang, & Dongwan Yoo. (2021). Activation of NF-κB and induction of proinflammatory cytokine expressions mediated by ORF7a protein of SARS-CoV-2. Scientific Reports. 11(1). 13464–13464. 141 indexed citations
6.
Su, Chia-Ming, Raymond R. R. Rowland, & Dongwan Yoo. (2021). Recent Advances in PRRS Virus Receptors and the Targeting of Receptor–Ligand for Control. Vaccines. 9(4). 354–354. 29 indexed citations
7.
Su, Chia-Ming, et al.. (2020). Molecular and Cellular Mechanisms for PRRSV Pathogenesis and Host Response to Infection. Virus Research. 286. 197980–197980. 93 indexed citations
8.
Su, Chia-Ming, et al.. (2020). The origin and past demography of murine astrovirus 1 in laboratory mice. Journal of General Virology. 102(2). 1 indexed citations
9.
Su, Chia-Ming, S. C. Wu, Yu‐Hui Chen, et al.. (2016). Intracellular lipid dysregulation interferes with leukocyte function in the ovaries of meat-type hens under unrestricted feed intake. Animal Reproduction Science. 167. 40–50. 8 indexed citations
10.
Su, Chia-Ming, et al.. (2014). Feed Intake Alters Immune Cell Functions and Ovarian Infiltration in Broiler Hens: Implications for Reproductive Performance1. Biology of Reproduction. 90(6). 134–134. 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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