Takuya Tada

2.3k total citations
38 papers, 949 citations indexed

About

Takuya Tada is a scholar working on Infectious Diseases, Immunology and Virology. According to data from OpenAlex, Takuya Tada has authored 38 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 14 papers in Immunology and 9 papers in Virology. Recurrent topics in Takuya Tada's work include SARS-CoV-2 and COVID-19 Research (19 papers), interferon and immune responses (9 papers) and HIV Research and Treatment (9 papers). Takuya Tada is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), interferon and immune responses (9 papers) and HIV Research and Treatment (9 papers). Takuya Tada collaborates with scholars based in United States, Japan and China. Takuya Tada's co-authors include Nathaniel R. Landau, Belinda M. Dcosta, Hao Zhou, Kenzo Tokunaga, Hideaki Fujita, Mark J. Mulligan, Marie I. Samanovic, Yanzhao Zhang, Ramin S. Herati and Shoji Yamaoka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Takuya Tada

37 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Tada United States 17 548 267 263 128 111 38 949
Jérémy Dufloo France 11 599 1.1× 287 1.1× 195 0.7× 131 1.0× 80 0.7× 20 912
Alice Cho United States 15 469 0.9× 180 0.7× 204 0.8× 79 0.6× 151 1.4× 22 834
Cyril Planchais France 18 707 1.3× 432 1.6× 362 1.4× 83 0.6× 137 1.2× 43 1.4k
John J. Suschak United States 15 371 0.7× 287 1.1× 260 1.0× 100 0.8× 202 1.8× 30 819
Florian Wrensch Germany 14 496 0.9× 240 0.9× 158 0.6× 49 0.4× 273 2.5× 19 868
Jana L. Jacobs United States 16 438 0.8× 222 0.8× 290 1.1× 273 2.1× 175 1.6× 34 877
Puck B. van Kasteren Netherlands 15 451 0.8× 355 1.3× 300 1.1× 29 0.2× 214 1.9× 32 1.0k
Feihu Yan China 18 400 0.7× 132 0.5× 357 1.4× 56 0.4× 166 1.5× 75 1.0k
James T. Earnest United States 12 897 1.6× 210 0.8× 227 0.9× 38 0.3× 207 1.9× 14 1.2k
Henning Gruell Germany 17 782 1.4× 317 1.2× 234 0.9× 377 2.9× 175 1.6× 52 1.2k

Countries citing papers authored by Takuya Tada

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Tada. A scholar is included among the top collaborators of Takuya Tada 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 Takuya Tada. Takuya Tada 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.
Tada, Takuya, D. J. Kong, Michiko Tanaka, et al.. (2024). Further Characterization of the Antiviral Transmembrane Protein MARCH8. Cells. 13(8). 698–698.
2.
Kaur, Ramanjit, Takuya Tada, & Nathaniel R. Landau. (2023). Restriction of SARS-CoV-2 replication by receptor transporter protein 4 (RTP4). mBio. 14(4). e0109023–e0109023. 6 indexed citations
3.
Tada, Takuya, et al.. (2023). Single-epitope T cell–based vaccine protects against SARS-CoV-2 infection in a preclinical animal model. JCI Insight. 8(7). 11 indexed citations
4.
Tada, Takuya, et al.. (2022). Single-virus tracking reveals variant SARS-CoV-2 spike proteins induce ACE2-independent membrane interactions. Science Advances. 8(49). eabo3977–eabo3977. 14 indexed citations
5.
Jang, Kyung Ku, Maria E. Kaczmarek, Simone Dallari, et al.. (2022). Variable susceptibility of intestinal organoid–derived monolayers to SARS-CoV-2 infection. PLoS Biology. 20(3). e3001592–e3001592. 20 indexed citations
6.
Mahmoudinobar, Farbod, Takuya Tada, Xunqing Jiang, et al.. (2022). Engineered multivalent self-assembled binder protein against SARS-CoV-2 RBD. Biochemical Engineering Journal. 187. 108596–108596. 5 indexed citations
8.
Tada, Takuya, Hao Zhou, Belinda M. Dcosta, et al.. (2022). Increased resistance of SARS-CoV-2 Omicron variant to neutralization by vaccine-elicited and therapeutic antibodies. EBioMedicine. 78. 103944–103944. 96 indexed citations
9.
Tada, Takuya, Belinda M. Dcosta, Marie I. Samanovic, et al.. (2021). Convalescent-Phase Sera and Vaccine-Elicited Antibodies Largely Maintain Neutralizing Titer against Global SARS-CoV-2 Variant Spikes. mBio. 12(3). e0069621–e0069621. 46 indexed citations
10.
Tada, Takuya, Hao Zhou, Belinda M. Dcosta, et al.. (2021). High-titer neutralization of Mu and C.1.2 SARS-CoV-2 variants by vaccine-elicited antibodies of previously infected individuals. Cell Reports. 38(2). 110237–110237. 14 indexed citations
11.
Tada, Takuya, Fan Chen, Jennifer Chen, et al.. (2020). An ACE2 Microbody Containing a Single Immunoglobulin Fc Domain Is a Potent Inhibitor of SARS-CoV-2. Cell Reports. 33(12). 108528–108528. 49 indexed citations
12.
Norton, Thomas, et al.. (2020). Lentiviral-Vector-Based Dendritic Cell Vaccine Synergizes with Checkpoint Blockade to Clear Chronic Viral Infection. Molecular Therapy. 28(8). 1795–1805. 7 indexed citations
13.
Zhang, Yanzhao, Takuya Tada, Seiya Ozono, et al.. (2020). MARCH8 inhibits viral infection by two different mechanisms. eLife. 9. 40 indexed citations
14.
Zhang, Yanzhao, Takuya Tada, Seiya Ozono, et al.. (2019). Membrane-associated RING-CH (MARCH) 1 and 2 are MARCH family members that inhibit HIV-1 infection. Journal of Biological Chemistry. 294(10). 3397–3405. 48 indexed citations
15.
Norton, Thomas, Anjie Zhen, Takuya Tada, et al.. (2019). Lentiviral Vector-Based Dendritic Cell Vaccine Suppresses HIV Replication in Humanized Mice. Molecular Therapy. 27(5). 960–973. 28 indexed citations
16.
Tada, Takuya, et al.. (2018). Toll-like receptor agonist R848 blocks Zika virus replication by inducing the antiviral protein viperin. Virology. 522. 199–208. 62 indexed citations
17.
Kuwahara, Kazunari, Takuya Tada, Masahiro Furutani, Yasuyuki Sakai, & Hiromitsu Ando. (2013). Chemical Kinetics Study on Two-Stage Main Heat Release in Ignition Process of Highly Diluted Mixtures. SAE International Journal of Engines. 6(1). 520–532. 10 indexed citations
18.
Tada, Takuya, Motohiko Kadoki, Yang Liu, Kenzo Tokunaga, & Yoichiro Iwakura. (2013). Transgenic expression of the human LEDGF/p75 gene relieves the species barrier against HIV-1 infection in mouse cells. Frontiers in Microbiology. 4. 377–377. 1 indexed citations
19.
Asai, Shuji, Toshitsugu Sato, Takuya Tada, et al.. (2004). Absence of procarboxypeptidase R induces complement-mediated lethal inflammation in LPS-primed mice. Molecular Immunology. 41. 204. 1 indexed citations
20.
Kôyama, Akio, et al.. (1978). Studies on passive serum sickness. II. Factors determining the localization of antigen-antibody complexes in the murine renal glomerulus.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(3). 253–62. 53 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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