Kazuko Uno

2.8k citations
100 papers · 2.2k indexed · h-index 25

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes

Papers in

    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 10
    • Immune cells in cancer 8
    • Immune Response and Inflammation 6
    • Cytokine Signaling Pathways and Interactions 12

Kazuko Uno

98 papers receiving 2.2k citations

Peers

Kazuko Uno
Comparison fields: 5 of 123
  • Immunology 565
  • Nephrology 143
  • Neurology 119
  • Clinical Biochemistry 91
  • Oncology 348
Replace Nataša Kopitar‐Jerala with:
Nataša Kopitar‐Jerala Slovenia
Yuki Tanaka Japan
Angelo Guglielmotti Italy
Marc Pouliot Canada
Roswitha Sgonc Austria
Jean Pierre Schatzmann Peron Brazil
A. D. Dayan United Kingdom
Weng-Lang Yang United States
Ceri A. Fielding United Kingdom
Kazuko Uno relative to Nataša Kopitar‐Jerala Slovenia Nataša Kopitar‐Jerala's profile →
Citations per field
00.5×1.5×1.9×
Nataša Kopitar‐Jerala · 1×
Citations per year

Countries citing papers authored by Kazuko Uno

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202311
3 20237
4 20201
5 201835
6 20137
7 201214
8 20127
9 201115
10 20104
11 201011
12 20077
13 20077
14 19987
15 199654
16 199522
17 19936
18 19939
19 19893
20 198912

About Kazuko Uno

Kazuko Uno is a scholar working on Immunology, Oncology, Rheumatology, Nephrology and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (12 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (10 papers), Immune cells in cancer (8 papers), Vasculitis and related conditions (8 papers), Systemic Lupus Erythematosus Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Immunology (565 citations), Nephrology (143 citations), Neurology (119 citations), Clinical Biochemistry (91 citations) and Oncology (348 citations). Kazuko Uno has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shin‐ichi Muramatsu, Nobuo Matsui, Shin�ichi Yoshida, Goji Hasegawa, Motoharu Kondo, Tsunataro Kíshida, Kazuharu Ienaga, Yoji Shibayama, Koji Nakano and Kayo Inaba. Their work appears in journals such as Journal of Interferon & Cytokine Research, PLoS ONE, Cancer Immunology Immunotherapy, Scientific Reports and Modern Rheumatology.

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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