Haruhisa Maruyama
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- Murray KorcJörg KleeffToshiyuki IshiwataHelmut FrießHelmut FriessKei MatsudaArthur D. LanderFeng Guo
- Topics
- Pancreatic and Hepatic Oncology Research (5 papers)TGF-β signaling in diseases (5 papers)Cancer Cells and Metastasis (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Haruhisa Maruyama
13 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 797
- Oncology 603
- Cancer Research 196
- Immunology 168
- Cell Biology 166
Countries citing papers authored by Haruhisa Maruyama
This map shows the geographic impact of Haruhisa Maruyama'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 Haruhisa Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruhisa Maruyama more than expected).
Fields of papers citing papers by Haruhisa Maruyama
This network shows the impact of papers produced by Haruhisa Maruyama. 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 Haruhisa Maruyama. The network helps show where Haruhisa Maruyama may publish in the future.
Co-authorship network of co-authors of Haruhisa Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Haruhisa Maruyama. A scholar is included among the top collaborators of Haruhisa Maruyama 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 Haruhisa Maruyama. Haruhisa Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Soluble type II transforming growth factor-beta receptor attenuates expression of metastasis-associated genes and suppresses pancreatic cancer cell metastasis. | 71 |
| 2 | Soluble type II transforming growth factor-beta (TGF-beta) receptor inhibits TGF-beta signaling in COLO-357 pancreatic cancer cells in vitro and attenuates tumor formation. | 74 |
| 3 | Glypican-1 is overexpressed in human breast cancer and modulates the mitogenic effects of multiple heparin-binding growth factors in breast cancer cells. | 248 |
| 4 | 23 | |
| 5 | 130 | |
| 6 | 148 | |
| 7 | 215 | |
| 8 | Characterization of cytokeratin 20 expression in pancreatic and colorectal cancer. | 52 |
| 9 | 124 | |
| 10 | Enhanced expression of the insulin receptor substrate-2 docking protein in human pancreatic cancer. | 71 |
| 11 | Experimental studies on malignant fibrous histiocytomas. II. Ultrastructure of malignant fibrous histiocytomas induced by 4-(hydroxyamino)-quinoline 1-oxide in rats. | 16 |
| 12 | 9 | |
| 13 | 5 |
About Haruhisa Maruyama
Haruhisa Maruyama is a scholar working on Oncology, Urology and Earth-Surface Processes, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), TGF-β signaling in diseases (5 papers) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (603 citations), Cancer Research (196 citations) and Molecular Biology (797 citations). Haruhisa Maruyama has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Murray Korc, Jörg Kleeff, Toshiyuki Ishiwata, Helmut Frieß, Helmut Friess, Kei Matsuda, Arthur D. Lander, Feng Guo, Yoshitaka Matsumoto and Jun Itakura. Their work appears in journals such as Gastroenterology, Oncogene and American Journal Of Pathology.
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.