Ju Ji

723 total citations
24 papers, 367 citations indexed

About

Ju Ji is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Ju Ji has authored 24 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Animal Science and Zoology and 7 papers in Genetics. Recurrent topics in Ju Ji's work include Viral gastroenteritis research and epidemiology (13 papers), Animal Virus Infections Studies (12 papers) and Virus-based gene therapy research (7 papers). Ju Ji is often cited by papers focused on Viral gastroenteritis research and epidemiology (13 papers), Animal Virus Infections Studies (12 papers) and Virus-based gene therapy research (7 papers). Ju Ji collaborates with scholars based in United States, Thailand and United Kingdom. Ju Ji's co-authors include Jeffrey J. Zimmerman, Luis G. Giménez‐Lirola, Chong Wang, N. K. Van Engen, Michael D. Kleinhenz, David H. Baum, Johann F. Coetzee, Patrick J. Gorden, M. Paul Scott and Madan K. Bhattacharyya and has published in prestigious journals such as PLoS ONE, Infection and Immunity and Emerging infectious diseases.

In The Last Decade

Ju Ji

24 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Ji United States 13 190 159 121 62 62 24 367
Markus Freick Germany 11 216 1.1× 124 0.8× 92 0.8× 71 1.1× 90 1.5× 43 450
Branislav Kureljušić Serbia 11 96 0.5× 110 0.7× 99 0.8× 39 0.6× 47 0.8× 68 310
M. Cerioli Italy 10 125 0.7× 155 1.0× 93 0.8× 22 0.4× 43 0.7× 23 338
Chintu Ravishankar India 11 123 0.6× 164 1.0× 124 1.0× 36 0.6× 50 0.8× 41 369
Marisa Rotolo United States 8 168 0.9× 144 0.9× 115 1.0× 29 0.5× 68 1.1× 19 277
Chris Rademacher United States 10 290 1.5× 280 1.8× 260 2.1× 54 0.9× 131 2.1× 24 528
Danielle Gava Brazil 14 242 1.3× 235 1.5× 251 2.1× 40 0.6× 149 2.4× 50 546
Eliana Schiavon Italy 12 229 1.2× 103 0.6× 114 0.9× 166 2.7× 106 1.7× 36 440
D. E. Mattson United States 13 150 0.8× 215 1.4× 148 1.2× 50 0.8× 80 1.3× 25 509
Shanyuan Zhu China 13 109 0.6× 124 0.8× 77 0.6× 15 0.2× 65 1.0× 49 347

Countries citing papers authored by Ju Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ju Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Ji. A scholar is included among the top collaborators of Ju Ji 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 Ju Ji. Ju Ji 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.
Ji, Ju, et al.. (2023). Assessing nocturnal scratch with actigraphy in atopic dermatitis patients. npj Digital Medicine. 6(1). 72–72. 6 indexed citations
2.
Zhang, Hui, et al.. (2022). Digital Data Platform for Connected Clinical Trials. 2022 IEEE International Conference on Big Data (Big Data). 2446–2453. 1 indexed citations
3.
Ji, Ju, Chong Wang, Marisa Rotolo, & Jeffrey J. Zimmerman. (2020). Modeling regional disease spread over time using a dynamic spatio-temporal model – With an application to porcine epidemic diarrhea virus data in Iowa, US. Preventive Veterinary Medicine. 181. 105053–105053. 1 indexed citations
4.
Ji, Ju, et al.. (2020). Understanding and interpreting PRRSV diagnostics in the context of “disease transition stages”. Research in Veterinary Science. 131. 173–176. 15 indexed citations
5.
6.
Cheng, Ting‐Yu, Albert Van Geelen, Kelly M. Lager, et al.. (2020). Detection of pseudorabies virus antibody in swine oral fluid using a serum whole-virus indirect ELISA. Journal of Veterinary Diagnostic Investigation. 32(4). 535–541. 10 indexed citations
7.
Yaeger, Michael J., et al.. (2019). Investigating the Suitability of a Laboratory Mouse Model to Study the Pathogenesis of Abortifacient Campylobacter jejuni. Veterinary Pathology. 56(4). 555–564. 3 indexed citations
8.
Stoian, Ana M. M., Jeffrey J. Zimmerman, Ju Ji, et al.. (2019). Half-Life of African Swine Fever Virus in Shipped Feed. Emerging infectious diseases. 25(12). 2261–2263. 66 indexed citations
9.
Giménez‐Lirola, Luis G., Ju Ji, Eric Nelson, et al.. (2018). Serum and mammary secretion antibody responses in porcine epidemic diarrhea-immune gilts following porcine epidemic diarrhea vaccination. Journal of Swine Health and Production. 26(1). 34–40. 9 indexed citations
10.
Poonsuk, Korakrit, Ting‐Yu Cheng, Ju Ji, Jeffrey J. Zimmerman, & Luis G. Giménez‐Lirola. (2018). Detection of porcine epidemic diarrhea virus (PEDV) IgG and IgA in muscle tissue exudate (“meat juice”) specimens. Porcine Health Management. 4(1). 31–31. 11 indexed citations
11.
Kleinhenz, Michael D., N. K. Van Engen, Joe S. Smith, et al.. (2018). The impact of transdermal flunixin meglumine on biomarkers of pain in calves when administered at the time of surgical castration without local anesthesia. Livestock Science. 212. 1–6. 32 indexed citations
12.
Giménez‐Lirola, Luis G., Korakrit Poonsuk, Ting‐Yu Cheng, et al.. (2018). Effect of chemical clarification of oral fluids on the detection of porcine reproductive and respiratory syndrome virus IgG. Journal of Veterinary Diagnostic Investigation. 30(5). 671–677. 8 indexed citations
13.
Panyasing, Yaowalak, Roongroje Thanawongnuwech, Ju Ji, Luis G. Giménez‐Lirola, & Jeffrey J. Zimmerman. (2018). Detection of classical swine fever virus (CSFV) E2 and Erns antibody (IgG, IgA) in oral fluid specimens from inoculated (ALD strain) or vaccinated (LOM strain) pigs. Veterinary Microbiology. 224. 70–77. 12 indexed citations
14.
Panyasing, Yaowalak, Roongtham Kedkovid, Roongroje Thanawongnuwech, et al.. (2018). Effective surveillance for early classical swine fever virus detection will utilize both virus and antibody detection capabilities. Veterinary Microbiology. 216. 72–78. 14 indexed citations
15.
Poonsuk, Korakrit, Luis G. Giménez‐Lirola, Ju Ji, et al.. (2018). The effect of chemical clarification of oral fluids on porcine epidemic diarrhea virus antibody responses. Journal of Veterinary Diagnostic Investigation. 30(6). 937–941. 3 indexed citations
16.
Panyasing, Yaowalak, Roongtham Kedkovid, Apisit Kittawornrat, et al.. (2018). Detection of Aujeszky's disease virus DNA and antibody in swine oral fluid specimens. Transboundary and Emerging Diseases. 65(6). 1828–1835. 16 indexed citations
17.
Kleinhenz, Michael D., et al.. (2017). Effects of transdermal flunixin meglumine on pain biomarkers at dehorning in calves1. Journal of Animal Science. 95(5). 1993–2000. 37 indexed citations
18.
Rotolo, Marisa, Luis G. Giménez‐Lirola, Ju Ji, et al.. (2017). Detection of porcine reproductive and respiratory syndrome virus (PRRSV)-specific IgM-IgA in oral fluid samples reveals PRRSV infection in the presence of maternal antibody. Veterinary Microbiology. 214. 13–20. 15 indexed citations
19.
Poonsuk, Korakrit, Jianqiang Zhang, Qi Chen, et al.. (2016). Quantifying the effect of lactogenic antibody on porcine epidemic diarrhea virus infection in neonatal piglets. Veterinary Microbiology. 197. 83–92. 21 indexed citations
20.
Ji, Ju, M. Paul Scott, & Madan K. Bhattacharyya. (2006). Light is Essential for Degradation of Ribulose‐1,5‐Bisphosphate Carboxylase‐Oxygenase Large Subunit During Sudden Death Syndrome Development in Soybean. Plant Biology. 8(5). 597–605. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Markus Freick Breakdown of academic impact, for papers by Branislav Kureljušić Breakdown of academic impact, for papers by M. Cerioli Breakdown of academic impact, for papers by Chintu Ravishankar Breakdown of academic impact, for papers by Marisa Rotolo Breakdown of academic impact, for papers by Chris Rademacher Breakdown of academic impact, for papers by Danielle Gava Breakdown of academic impact, for papers by Eliana Schiavon Breakdown of academic impact, for papers by D. E. Mattson Breakdown of academic impact, for papers by Shanyuan Zhu
Rankless by CCL
2026