Noriko Okada

3.9k citations
136 papers · 3.2k indexed · h-index 29

Impact in

  • Immunology top 1%
    • Complement system in diseases
    • Immune Cell Function and Interaction
  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Blood groups and transfusion

Papers in

    • HIV Research and Treatment 19
    • Complement system in diseases 45
    • Immune Cell Function and Interaction 16

Noriko Okada

131 papers receiving 3.1k citations

Peers

Noriko Okada
Comparison fields: 5 of 115
  • Immunology 1.6k
  • Hematology 788
  • Nephrology 341
  • Virology 159
  • Genetics 327
Replace Thierry Martin with:
Thierry Martin France
Lynn A. Spruce United States
C. Yung Yu United States
Jean Ripoche France
Paschalis Sideras Sweden
Louis A. Matis United States
C R Maliszewski United States
Timothy J. Vyse United Kingdom
Margaret L. Hibbs Australia
Yaakov Naparstek Israel
Noriko Okada relative to Thierry Martin France Thierry Martin's profile →
Citations per field
00.5×4.2×
Thierry Martin · 1×
Citations per year

Countries citing papers authored by Noriko Okada

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201521
2 200437
3 200412
4 20045
5 200362
6 20031
7 20029
8 200183
9 20011
10 20004
11 200078
12 199945
13 1998174
14 199713
15 199615
16 19930
17 199220
18 199139
19 19895
20 19898

About Noriko Okada

Noriko Okada is a scholar working on Virology, Immunology, Hematology, Genetics and Nephrology, having authored 136 papers that have together received 3.2k indexed citations. Recurring topics across this work include Complement system in diseases (45 papers), HIV Research and Treatment (19 papers), Blood Coagulation and Thrombosis Mechanisms (18 papers), Immune Cell Function and Interaction (16 papers), Blood groups and transfusion (14 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers), Erythrocyte Function and Pathophysiology (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Immunology (1.6k citations), Hematology (788 citations), Nephrology (341 citations), Virology (159 citations) and Genetics (327 citations). Noriko Okada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidechika Okada, William Campbell, Teizo Fujita, Shinichi Koizumi, Ryoko Harada, Eliada Lazoura, Masaki Imai, Manabu Yamashina, Rieko Ohta and Imre Farkas. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Immunology, European Journal of Immunology, Microbiology and Immunology and Molecular Immunology.

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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