Takuya Tada

2.3k citations
39 papers · 993 · h-index 18

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • SARS-CoV-2 and COVID-19 Research 19
    • COVID-19 Clinical Research Studies 8
    • SARS-CoV-2 detection and testing 4
    • Viral gastroenteritis research and epidemiology 3
    • interferon and immune responses 8

Takuya Tada

38 papers receiving 943 citations

Peers

Takuya Tada
Comparison fields: 5 of 80
  • Infectious Diseases 528
  • Virology 129
  • Immunology 270
  • Animal Science and Zoology 94
  • Nephrology 39
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Citations per field
00.5×2.8×
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Citations per year

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-authors

The 25 scholars most cited alongside Takuya Tada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuya Tada Line = papers co-authored together Takuya Tada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015116
2 202297
3 201865
4
Studies on passive serum sickness. II. Factors determining the localization of antigen-antibody complexes in the murine renal glomerulus.
197861
5 202259
6 201950
7 202049
8 202148
9
Studies on passive serum sickness. I. The glomerular fine structure of serum sickness nephritis induced by preformed antigen-antibody complexes in the mouse.
197147
10 202146
11 202043
12 202135
13 201929
14 202226
15 202225
16 202222
17 201520
18 202118
19 202217
20 202215

About Takuya Tada

Takuya Tada is a scholar working on Infectious Diseases, Immunology, Virology, Molecular Biology and Animal Science and Zoology, having authored 39 papers that have together received 993 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), HIV Research and Treatment (9 papers), interferon and immune responses (8 papers), COVID-19 Clinical Research Studies (8 papers), Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (6 papers), SARS-CoV-2 detection and testing (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (528 citations), Virology (129 citations), Immunology (270 citations), Animal Science and Zoology (94 citations) and Nephrology (39 citations). Takuya Tada has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Nathaniel R. Landau, Belinda M. Dcosta, Hao Zhou, Kenzo Tokunaga, Hideaki Fujita, Marie I. Samanovic, Mark J. Mulligan, Yanzhao Zhang, Shoji Yamaoka and Ramin S. Herati. Their work appears in journals such as mBio, JCI Insight, Molecular Therapy, Journal for ImmunoTherapy of Cancer and iScience.

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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