Hiroko Tada

3.5k citations
71 papers · 2.8k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Hiroko Tada

71 papers receiving 2.7k citations

Hit Papers

An improved colorimetric assay for interleukin 2 1986 · 771 citations
7711986202619992012250500750

Peers

Hiroko Tada
Comparison fields: 5 of 127
  • Microbiology 260
  • Hematology 225
  • Molecular Biology 1.3k
  • Immunology 362
  • Pharmacy 83
Replace Itaru Kato with:
Itaru Kato Japan
Thomas A. Brown United States
Roberta Visconti Italy
Kazuhiko Maeda Japan
A. C. Allison United Kingdom
Adriana K. Carmona Brazil
Ivarne L.S. Tersariol Brazil
R. Chris Bleackley Canada
Mickey S. Urdea United States
J. F. Borel Switzerland
Hiroko Tada relative to Itaru Kato Japan Itaru Kato's profile →
Citations per field
00.5×2.9×
Itaru Kato · 1×
Citations per year

Countries citing papers authored by Hiroko Tada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroko 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 Hiroko Tada Line = papers co-authored together Hiroko Tada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202014
3 201921
4 20176
5 20166
6 201542
7 20148
8 200819
9 200828
10 20089
11 200825
12 200724
13 2006151
14 20063
15 200615
16 200577
17 200525
18 200250
19 199185
20 19892

About Hiroko Tada

Hiroko Tada is a scholar working on Microbiology, Molecular Biology, Oncology, Infectious Diseases and Clinical Biochemistry, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Infectious Encephalopathies and Encephalitis (10 papers), Pancreatic function and diabetes (8 papers), Peptidase Inhibition and Analysis (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (6 papers), Virus-based gene therapy research (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Microbiology (260 citations), Hematology (225 citations), Molecular Biology (1.3k citations), Immunology (362 citations) and Pharmacy (83 citations). Hiroko Tada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaru Koyama, K. Tsukamoto, Osamu Shiho, Masaharu Seno, Hidenori Yamada, Jun‐ichi Takanashi, Junichiro Futami, Masakazu Ueda, A. James Barkovich and Megumi Kosaka. Their work appears in journals such as Brain and Development, Biochemical and Biophysical Research Communications, Journal of the Neurological Sciences, Journal of Cellular Biochemistry and Circulation.

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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