Da‐Peng Jiang

464 total citations
24 papers, 371 citations indexed

About

Da‐Peng Jiang is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Da‐Peng Jiang has authored 24 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 5 papers in Infectious Diseases and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Da‐Peng Jiang's work include Virology and Viral Diseases (7 papers), Parvovirus B19 Infection Studies (4 papers) and Viral Infections and Immunology Research (4 papers). Da‐Peng Jiang is often cited by papers focused on Virology and Viral Diseases (7 papers), Parvovirus B19 Infection Studies (4 papers) and Viral Infections and Immunology Research (4 papers). Da‐Peng Jiang collaborates with scholars based in Japan, China and Indonesia. Da‐Peng Jiang's co-authors include Hak Hotta, Ikuo Shoji, Lin Deng, Yoshihiro Ide, Tomoyoshi Soga, Wataru Ogawa, Guangzhou An, Haiyang Lang, Jinhui Li and Motoko Nagano‐Fujii and has published in prestigious journals such as PLoS ONE, Journal of Virology and Brain Research.

In The Last Decade

Da‐Peng Jiang

21 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da‐Peng Jiang Japan 10 167 114 74 71 52 24 371
Yongdong Zhou United States 12 95 0.6× 96 0.8× 278 3.8× 8 0.1× 36 0.7× 19 518
Andrew Vu United States 9 120 0.7× 97 0.9× 60 0.8× 7 0.1× 26 0.5× 14 389
Richard J. Rozek United States 7 62 0.4× 24 0.2× 51 0.7× 81 1.1× 20 0.4× 8 313
Alexander Birk United States 7 47 0.3× 20 0.2× 333 4.5× 11 0.2× 32 0.6× 15 576
Amna Malik United Kingdom 8 94 0.6× 56 0.5× 92 1.2× 3 0.0× 43 0.8× 15 328
Tae‐Hoon Kim South Korea 12 101 0.6× 65 0.6× 79 1.1× 8 0.1× 3 0.1× 45 507
Anne Thouard France 10 67 0.4× 19 0.2× 117 1.6× 7 0.1× 23 0.4× 12 312
Sophie A. Montandon Switzerland 7 106 0.6× 17 0.1× 193 2.6× 6 0.1× 26 0.5× 9 379
Junhua Guo China 11 147 0.9× 69 0.6× 207 2.8× 2 0.0× 33 0.6× 22 477
Xiaohui Kong China 9 127 0.8× 43 0.4× 164 2.2× 3 0.0× 31 0.6× 24 607

Countries citing papers authored by Da‐Peng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Peng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Peng Jiang. 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 Da‐Peng Jiang. The network helps show where Da‐Peng Jiang may publish in the future.

Co-authorship network of co-authors of Da‐Peng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Peng Jiang. A scholar is included among the top collaborators of Da‐Peng Jiang 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 Da‐Peng Jiang. Da‐Peng Jiang 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.
2.
Zhang, Heng, Xuan Tang, Junfang Zhang, et al.. (2024). Serum prealbumin level as a biomarker of survival outcomes in patients with gastric cancer: a meta-analysis. Biomarkers. 29(6). 410–417.
3.
Kitagawa, Yoshinori, et al.. (2023). Suppression of viral RNA polymerase activity is necessary for persistent infection during the transformation of measles virus into SSPE virus. PLoS Pathogens. 19(7). e1011528–e1011528. 1 indexed citations
4.
Kitagawa, Yoshinori, et al.. (2021). M protein of subacute sclerosing panencephalitis virus, synergistically with the F protein, plays a crucial role in viral neuropathogenicity. Journal of General Virology. 102(10). 7 indexed citations
5.
Li, Jinhui, Da‐Peng Jiang, Yafeng Wang, et al.. (2017). Influence of electromagnetic pulse on the offspring sex ratio of male BALB/c mice. Environmental Toxicology and Pharmacology. 54. 155–161. 9 indexed citations
6.
Jiang, Da‐Peng, Jinhui Li, Jie Zhang, et al.. (2016). Long-term electromagnetic pulse exposure induces Abeta deposition and cognitive dysfunction through oxidative stress and overexpression of APP and BACE1. Brain Research. 1642. 10–19. 43 indexed citations
7.
An, Guangzhou, Hui Xu, Yan Zhou, et al.. (2015). Effects of Long-Term 50Hz Power-Line Frequency Electromagnetic Field on Cell Behavior in Balb/c 3T3 Cells. PLoS ONE. 10(2). e0117672–e0117672. 12 indexed citations
8.
Jiang, Da‐Peng, Chie Aoki, Pratiwi Sudarmono, et al.. (2014). Induction of Cell-Mediated Immune Responses in Mice by DNA Vaccines That Express Hepatitis C Virus NS3 Mutants Lacking Serine Protease and NTPase/RNA Helicase Activities. PLoS ONE. 9(6). e98877–e98877. 11 indexed citations
9.
Zhang, Liyuan, Jing Chen, Da‐Peng Jiang, & Peng Zhang. (2014). Adjuvant treatment with crude rhubarb for patients with systemic inflammation reaction syndrome/sepsis: A meta-analysis of randomized controlled trials. Journal of Critical Care. 30(2). 282–289. 12 indexed citations
10.
Jiang, Da‐Peng, Jing Li, Jie Zhang, et al.. (2013). Electromagnetic Pulse Exposure Induces Overexpression of Beta Amyloid Protein in Rats. Archives of Medical Research. 44(3). 178–184. 49 indexed citations
11.
An, Guangzhou, Yan Zhou, Yurong Li, et al.. (2013). [Effect of long-term power frequency electromagnetic field exposure on proliferation and apoptosis of SRA01/04 cells].. PubMed. 31(4). 246–50. 3 indexed citations
12.
El‐Shamy, Ahmed, Ikuo Shoji, Wafaa Elakel, et al.. (2012). NS5A Sequence Heterogeneity of Hepatitis C Virus Genotype 4a Predicts Clinical Outcome of Pegylated-Interferon–Ribavirin Therapy in Egyptian Patients. Journal of Clinical Microbiology. 50(12). 3886–3892. 18 indexed citations
13.
Hasegawa, Shunji, et al.. (2011). Interferon production by cells infected with subacute sclerosing panencephalitis (SSPE) virus or measles virus. Cytokine. 56(3). 676–679. 4 indexed citations
14.
Deng, Lin, Ikuo Shoji, Wataru Ogawa, et al.. (2011). Hepatitis C Virus Infection Promotes Hepatic Gluconeogenesis through an NS5A-Mediated, FoxO1-Dependent Pathway. Journal of Virology. 85(17). 8556–8568. 88 indexed citations
15.
Shoji, Ikuo, Myrna Adianti, Da‐Peng Jiang, et al.. (2011). A point mutation at Asn‐534 that disrupts a conserved N‐glycosylation motif of the E2 glycoprotein of hepatitis C virus markedly enhances the sensitivity to antibody neutralization. Journal of Medical Virology. 84(2). 229–234. 2 indexed citations
16.
Shoji, Ikuo, et al.. (2010). 17β-estradiol inhibits the production of infectious particles of hepatitis C virus. Microbiology and Immunology. 54(11). 684–690. 54 indexed citations
17.
18.
Hotta, Hak, Da‐Peng Jiang, & Motoko Nagano‐Fujii. (2007). [SSPE virus and pathogenesis].. PubMed. 65(8). 1475–80. 3 indexed citations
19.
Jiang, Da‐Peng, et al.. (2007). Generation of Recombinant Adenovirus Expressing siRNA against the L mRNA of Measles Virus and Subacute Sclerosing Panencephalitis Virus. Microbiology and Immunology. 51(10). 985–991. 9 indexed citations
20.
Hotta, Hak, Kenji Nihei, Yuichi Abe, et al.. (2006). Full‐Length Sequence Analysis of Subacute Sclerosing Panencephalitis (SSPE) Virus, a Mutant of Measles Virus, Isolated from Brain Tissues of a Patient Shortly after Onset of SSPE. Microbiology and Immunology. 50(7). 525–534. 22 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 Yongdong Zhou Breakdown of academic impact, for papers by Andrew Vu Breakdown of academic impact, for papers by Richard J. Rozek Breakdown of academic impact, for papers by Alexander Birk Breakdown of academic impact, for papers by Amna Malik Breakdown of academic impact, for papers by Tae‐Hoon Kim Breakdown of academic impact, for papers by Anne Thouard Breakdown of academic impact, for papers by Sophie A. Montandon Breakdown of academic impact, for papers by Junhua Guo Breakdown of academic impact, for papers by Xiaohui Kong
Rankless by CCL
2026