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)Tetsu Kobayashi (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)International Journal of Cancer (2 papers)British Journal of Cancer (1 paper)Carcinogenesis (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- Japan
In The Last Decade
Junko Gotoh
13 papers receiving 552 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 255
- Immunology and Allergy 92
- Hematology 94
- Genetics 88
- Cell Biology 103
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 11 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 | 84 | |
| 2 | 1994 | 74 | |
| 3 | 2003 | 73 | |
| 4 | 1994 | 50 | |
| 5 | 1994 | 49 | |
| 6 | 1995 | 43 | |
| 7 | 1996 | 39 | |
| 8 | 1995 | 38 | |
| 9 | Inhibition of tumor cell invasion through matrigel by a peptide derived from the domain II region in urinary trypsin inhibition. | 1995 | 38 |
| 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 | 25 |
| 12 | 1997 | 16 | |
| 13 | 1996 | 1 |
About Junko Gotoh
Junko Gotoh is a scholar working on Cancer Research, Oncology, Molecular Biology, Hematology and Cell Biology, having authored 13 papers that have together received 558 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Cell Adhesion Molecules Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Cancer Research (255 citations), Immunology and Allergy (92 citations), Hematology (94 citations), Genetics (88 citations) and Cell Biology (103 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, Tetsu Kobayashi, Naohiro Kanayama and Motoi Sugimura. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Cancer, British Journal of Cancer, Carcinogenesis and Thrombosis and Haemostasis.
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.