Hideki Hatta
Impact in
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
-
- Reproductive System and Pregnancy
Papers in
-
- TGF-β signaling in diseases 2
- Oncology 5
- Cancer Cells and Metastasis 4
- Co-authors
- Koichi Tsuneyama (14 shared papers)Yasuo Takano (3 shared papers)Shin Ishizawa (1 shared paper)Johji Imura (12 shared papers)Takeshi Nishida (11 shared papers)Kazuyuki Tobe (3 shared papers)Allah Nawaz (3 shared papers)Zheng‐Guo Cui (3 shared papers)
- Journals
- Scientific Reports (2 papers)Nephrology (1 paper)Molecular Metabolism (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)Bioorganic Chemistry (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hideki Hatta
22 papers receiving 454 citations
Peers
Comparison fields: 5 of 82
- Reproductive Medicine 43
- Immunology 79
- Hepatology 27
- Obstetrics and Gynecology 25
- Pharmacology 25
Countries citing papers authored by Hideki Hatta
This map shows the geographic impact of Hideki Hatta'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 Hideki Hatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Hatta more than expected).
Fields of papers citing papers by Hideki Hatta
This network shows the impact of papers produced by Hideki Hatta. 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 Hideki Hatta. The network helps show where Hideki Hatta may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Hatta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 147 | |
| 2 | 2018 | 66 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 36 | |
| 5 | 2009 | 35 | |
| 6 | 2023 | 26 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2010 | 9 | |
| 12 | 2006 | 9 | |
| 13 | 2017 | 9 | |
| 14 | Bone metastasis in gastrointestinal stromal tumors preferentially occurs in patients with original tumors in sites other than the stomach. | 2015 | 8 |
| 15 | 2014 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2021 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Hideki Hatta
Hideki Hatta is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Immunology, having authored 23 papers that have together received 466 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Endometriosis Research and Treatment (2 papers), Reproductive System and Pregnancy (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Diet, Metabolism, and Disease (2 papers), Gastrointestinal disorders and treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Reproductive Medicine (43 citations), Immunology (79 citations), Hepatology (27 citations), Obstetrics and Gynecology (25 citations) and Pharmacology (25 citations). Hideki Hatta has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Koichi Tsuneyama, Yasuo Takano, Shin Ishizawa, Johji Imura, Takeshi Nishida, Kazuyuki Tobe, Allah Nawaz, Zheng‐Guo Cui, Takahiko Nakajima and Shigeru Saito. Their work appears in journals such as Scientific Reports, Nephrology, Molecular Metabolism, Journal of Histochemistry & Cytochemistry and Bioorganic Chemistry.
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.