Hidehiro Nomura
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Lipid Membrane Structure and Behavior 2
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Yasunori Okada (4 shared papers)Motoharu Seiki (4 shared papers)Hiroshi Sato (2 shared papers)Masayoshi Mai (3 shared papers)Noboru Fujimoto (2 shared papers)Eiko Ohuchi (1 shared paper)Takanori Aoki (1 shared paper)Kazushi Imai (1 shared paper)
In The Last Decade
Hidehiro Nomura
12 papers receiving 535 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 408
- Immunology and Allergy 113
- Hematology 134
- Oncology 327
- Gastroenterology 13
Countries citing papers authored by Hidehiro Nomura
This map shows the geographic impact of Hidehiro 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 Hidehiro Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiro Nomura more than expected).
Fields of papers citing papers by Hidehiro Nomura
This network shows the impact of papers produced by Hidehiro 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 Hidehiro Nomura. The network helps show where Hidehiro Nomura may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidehiro Nomura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Membrane-type matrix metalloproteinase 1 is a gelatinolytic enzyme and is secreted in a complex with tissue inhibitor of metalloproteinases 2. | 1996 | 202 |
| 2 | 1996 | 150 | |
| 3 | Expression of membrane-type matrix metalloproteinase in human gastric carcinomas. | 1995 | 113 |
| 4 | 2005 | 17 | |
| 5 | 1973 | 16 | |
| 6 | 1996 | 15 | |
| 7 | 2009 | 11 | |
| 8 | Electron microscopic identification of the intracellular secretion pathway of human G-CSF in a human tumor cell line: a comparative study with a Chinese hamster ovary cell line (IA1-7) transfected with human G-CSF cDNA. | 1991 | 11 |
| 9 | 2011 | 6 | |
| 10 | 2008 | 3 | |
| 11 | 1998 | 3 | |
| 12 | 1987 | 1 | |
| 13 | 2023 | 0 |
About Hidehiro Nomura
Hidehiro Nomura is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 548 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Cellular transport and secretion (3 papers), Peptidase Inhibition and Analysis (3 papers), Gastric Cancer Management and Outcomes (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Cancer Research (408 citations), Immunology and Allergy (113 citations), Hematology (134 citations), Oncology (327 citations) and Gastroenterology (13 citations). Hidehiro Nomura has collaborated with scholars based in Japan, Hong Kong and Greece. Frequent co-authors include Yasunori Okada, Motoharu Seiki, Hiroshi Sato, Masayoshi Mai, Noboru Fujimoto, Eiko Ohuchi, Takanori Aoki, Kazushi Imai, Yutaka Fujii and Naohide Hirashima. Their work appears in journals such as International Journal of Cancer, Acta Paediatrica, Cellular Immunology, Cancer Chemotherapy and Pharmacology and Immunology Letters.
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.