Jumpei Sato

473 total citations
24 papers, 292 citations indexed

About

Jumpei Sato is a scholar working on Epidemiology, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jumpei Sato has authored 24 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 5 papers in General Health Professions and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jumpei Sato's work include Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Motor Control and Adaptation (3 papers). Jumpei Sato is often cited by papers focused on Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Motor Control and Adaptation (3 papers). Jumpei Sato collaborates with scholars based in Japan, United States and France. Jumpei Sato's co-authors include Stephen Agboola, Kamal Jethwani, Sujay Kakarmath, Toru Hisamitsu, Takuma Shibahara, Joseph C. Kvedar, Sara Golas, Jennifer Felsted, Kazuo Goda and Masaru Kitsuregawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Health Services Research and Viruses.

In The Last Decade

Jumpei Sato

19 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jumpei Sato Japan 7 98 93 76 75 38 24 292
Jens Schierbeck Denmark 10 112 1.1× 59 0.6× 40 0.5× 174 2.3× 7 0.2× 24 502
Alexander Pate United Kingdom 9 43 0.4× 25 0.3× 20 0.3× 51 0.7× 34 0.9× 24 247
Stephanie Cabral United States 6 56 0.6× 23 0.2× 24 0.3× 78 1.0× 46 1.2× 8 295
Aya Awad Israel 8 141 1.4× 30 0.3× 64 0.8× 100 1.3× 11 0.3× 10 343
Gina Barnes United States 13 129 1.3× 44 0.5× 51 0.7× 104 1.4× 20 0.5× 31 486
Jonathon Stewart Australia 9 57 0.6× 44 0.5× 33 0.4× 35 0.5× 29 0.8× 21 318
Laura Stevens United States 10 63 0.6× 93 1.0× 33 0.4× 73 1.0× 45 1.2× 18 490
James McNicholas United Kingdom 7 143 1.5× 32 0.3× 66 0.9× 105 1.4× 31 0.8× 10 309
Juan Pablo Díaz-Martínez Canada 5 28 0.3× 21 0.2× 89 1.2× 45 0.6× 78 2.1× 8 287
Kristof Steurbaut Belgium 10 63 0.6× 19 0.2× 76 1.0× 104 1.4× 23 0.6× 20 381

Countries citing papers authored by Jumpei Sato

Since Specialization
Citations

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

Fields of papers citing papers by Jumpei Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jumpei Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Jumpei Sato. A scholar is included among the top collaborators of Jumpei Sato 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 Jumpei Sato. Jumpei Sato 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.
Sato, Jumpei, M. Shiro, Satoru Yamagami, et al.. (2025). Amino acid insertion in the Meq protein of Marek’s disease virus, an avian oncogenic herpesvirus, accelerates tumorigenesis. Microbiology Spectrum. 13(8). e0336824–e0336824.
2.
3.
Sato, Jumpei, Satoru Yamagami, Hiroshi Saeki, et al.. (2025). Programmed Cell Death-1 Expression in T-Cell Subsets in Chickens Infected with Marek’s Disease Virus. Pathogens. 14(5). 431–431. 2 indexed citations
4.
Sato, Jumpei, Satoru Yamagami, Hiroshi Saeki, et al.. (2025). Two distinct polymorphisms in the basic region of Meq protein of marek’s disease virus alter pathological progression and clinical manifestations. Virology Journal. 22(1). 303–303.
5.
Ishikawa, Tomoki, Jumpei Sato, Masaru Kitsuregawa, et al.. (2025). Impact of the COVID-19 pandemic on continuity of medical treatment for patients with chronic diseases in Japan: a retrospective cohort analysis. BMC Health Services Research. 25(1). 721–721.
6.
Sato, Jumpei, Takumi Sato, Eiji Oishi, et al.. (2024). In Vivo Characterization of the Anti-Glutathione S-Transferase Antibody Using an In Vitro Mite Feeding Model. Vaccines. 12(2). 148–148. 2 indexed citations
7.
Sato, Jumpei, Takumi Sato, Eiji Oishi, et al.. (2024). Potential of histamine release factor for the utilization as a universal vaccine antigen against poultry red mites, tropical fowl mites, and northern fowl mites. Journal of Veterinary Medical Science. 87(1). 1–12.
8.
9.
Shiro, M., Jumpei Sato, Takumi Sato, et al.. (2023). Potential of ferritin 2 as an antigen for the development of a universal vaccine for avian mites, poultry red mites, tropical fowl mites, and northern fowl mites. Frontiers in Veterinary Science. 10. 1182930–1182930. 3 indexed citations
10.
11.
Ishikawa, Tomoki, Jumpei Sato, Kazuo Goda, et al.. (2022). Monthly trends and seasonality of hemodialysis treatment and outcomes of newly initiated patients from the national database (NDB) of Japan. Clinical and Experimental Nephrology. 26(7). 669–677. 3 indexed citations
12.
Miura, Katsuyuki, Sachiko Tanaka‐Mizuno, Yusuke Ohya, et al.. (2022). Prevalence of hypertensive diseases and treated hypertensive patients in Japan: A nationwide administrative claims database study. Hypertension Research. 45(7). 1123–1133. 13 indexed citations
13.
Ishikawa, Tomoki, et al.. (2022). The Association Between Telehealth Utilization and Policy Responses on COVID-19 in Japan: Interrupted Time-Series Analysis. SHILAP Revista de lepidopterología. 11(2). e39181–e39181. 12 indexed citations
14.
Sato, Jumpei, et al.. (2020). Retrieving and Analyzing Hospital Service Suspensions from Regional Healthcare Insurance Claims Data. Studies in health technology and informatics. 270. 407–411. 1 indexed citations
15.
Sato, Jumpei, et al.. (2019). Novel Analytics Framework for Universal Healthcare Insurance Claims Database. Studies in health technology and informatics. 264. 1578–1579. 1 indexed citations
16.
Hashimoto, Hideki, Makoto Saito, Jumpei Sato, et al.. (2019). Indications and classes of outpatient antibiotic prescriptions in Japan: A descriptive study using the national database of electronic health insurance claims, 2012–2015. International Journal of Infectious Diseases. 91. 1–8. 46 indexed citations
17.
Sato, Jumpei, et al.. (2019). Enabling Patient Traceability Using Anonymized Personal Identifiers in Japanese Universal Health Insurance Claims Database.. PubMed. 2019. 345–352. 6 indexed citations
18.
Sato, Jumpei, et al.. (2019). Novel Analytics Framework for Universal Healthcare Insurance Database.. PubMed. 2019. 353–362. 2 indexed citations
19.
Golas, Sara, Takuma Shibahara, Stephen Agboola, et al.. (2018). A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. BMC Medical Informatics and Decision Making. 18(1). 44–44. 177 indexed citations
20.
Sato, Jumpei, Naoki Yamada, Kazuo Nishikawa, et al.. (2013). Investigation of the subjective force perception based on the estimation of the muscle activities during a steering operation. 76–81. 6 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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