Junko Gotoh
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protease and Inhibitor Mechanisms 11
- Oncology 8
- Peptidase Inhibition and Analysis 7
- Co-authors
- Toshihiko Terao (12 shared papers)Hiroshi Kobayashi (7 shared papers)Michio Fujie (5 shared papers)Hiromitsu Shinohara (4 shared papers)Yasuyuki Hirashima (5 shared papers)Nobuhiko Moniwa (3 shared papers)Hiroshi Kobayashi (1 shared paper)Hirotoshi Kobayashi (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)International Journal of Cancer (2 papers)International Journal of Oncology (1 paper)Carcinogenesis (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- Japan
In The Last Decade
Junko Gotoh
13 papers receiving 561 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 264
- Immunology and Allergy 92
- Hematology 94
- Genetics 81
- Cell Biology 98
Countries citing papers authored by Junko Gotoh
This map shows the geographic impact of Junko Gotoh'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 Junko Gotoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Gotoh more than expected).
Fields of papers citing papers by Junko Gotoh
This network shows the impact of papers produced by Junko Gotoh. 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 Junko Gotoh. The network helps show where Junko Gotoh may publish in the future.
Co-authors
The 13 scholars most cited alongside Junko Gotoh, 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 | 1995 | 87 | |
| 2 | 1994 | 79 | |
| 3 | 2003 | 78 | |
| 4 | 1994 | 54 | |
| 5 | 1994 | 50 | |
| 6 | 1995 | 43 | |
| 7 | 1996 | 39 | |
| 8 | 1995 | 39 | |
| 9 | Inhibition of tumor cell invasion through matrigel by a peptide derived from the domain II region in urinary trypsin inhibition. | 1995 | 37 |
| 10 | Role of activated protein C in facilitating basement membrane invasion by tumor cells. | 1994 | 28 |
| 11 | Urinary trypsin inhibitor efficiently inhibits urokinase production in tumor necrosis factor-stimulated cells. | 1996 | 26 |
| 12 | 1997 | 17 | |
| 13 | 1996 | 1 |
About Junko Gotoh
Junko Gotoh is a scholar working on Cancer Research, Oncology, Hematology, Cell Biology and Immunology and Allergy, having authored 13 papers that have together received 578 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (7 papers), Proteoglycans and glycosaminoglycans research (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cell Adhesion Molecules Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Cancer Research (264 citations), Immunology and Allergy (92 citations), Hematology (94 citations), Genetics (81 citations) and Cell Biology (98 citations). Junko Gotoh has collaborated with scholars based in Japan. Frequent co-authors include Toshihiko Terao, Hiroshi Kobayashi, Michio Fujie, Hiromitsu Shinohara, Yasuyuki Hirashima, Nobuhiko Moniwa, Hiroshi Kobayashi, Hirotoshi Kobayashi, Tetsu Kobayashi and Motoi Sugimura. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Cancer, International Journal of Oncology, Carcinogenesis and British Journal of Cancer.
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.