Fumiko Nomura
- Immunology top 2%
- Molecular Biology
- Cancer Research top 10%
- Epidemiology top 10%
- Oncology
- Co-authors
- Taro KawaiShizuo AkiraKiyoshi TakedaShintaro SatoMasao KimotoKenji NakanishiKensuke MiyakeSachiko Akashi
- Topics
- Immune Response and Inflammation (3 papers)NF-κB Signaling Pathways (3 papers)Lung Cancer Research Studies (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Fumiko Nomura
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 984
- Molecular Biology 393
- Cancer Research 305
- Epidemiology 269
- Oncology 150
Countries citing papers authored by Fumiko Nomura
This map shows the geographic impact of Fumiko Nomura'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 Fumiko Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiko Nomura more than expected).
Fields of papers citing papers by Fumiko Nomura
This network shows the impact of papers produced by Fumiko Nomura. 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 Fumiko Nomura. The network helps show where Fumiko Nomura may publish in the future.
Co-authorship network of co-authors of Fumiko Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of Fumiko Nomura. A scholar is included among the top collaborators of Fumiko Nomura 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 Fumiko Nomura. Fumiko Nomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 159 | |
| 6 | 337 | |
| 7 | Cutting Edge: Endotoxin Tolerance in Mouse Peritoneal Macrophages Correlates with Down-Regulation of Surface Toll-Like Receptor 4 Expressionbreakdown → | 644 |
| 8 | 117 | |
| 9 | 101 | |
| 10 | 38 | |
| 11 | 16 | |
| 12 | Interferon therapy for acute posttransfusion non-A, non-B hepatitis: response with respect to anti-hepatitis C virus antibody status. | 31 |
| 13 | [Clinical characteristics of tuberculosis in the aged]. | 1 |
| 14 | Treatment of posttransfusion non-A, non-B acute and chronic hepatitis with human fibroblast beta-interferon: a preliminary report. | 16 |
| 15 | [Effects of cefotaxime single administration and of cefotaxime + fosfomycin administration against respiratory tract infections]. | 2 |
| 16 | [Treatment of unresectable hepatocellular carcinoma by arterial infusion of mitomycin C microcapsules (MMCmc)]. | 1 |
About Fumiko Nomura
Fumiko Nomura is a scholar working on Hepatology, Immunology and Physiology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (3 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Immunology (984 citations), Cancer Research (305 citations) and Microbiology (82 citations). Fumiko Nomura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Taro Kawai, Shizuo Akira, Kiyoshi Takeda, Shintaro Sato, Masao Kimoto, Kenji Nakanishi, Kensuke Miyake, Sachiko Akashi, Makoto Matsumoto and Osamu Takeuchi. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of 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.