Reiji Haba
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 11
-
- Lung Cancer Diagnosis and Treatment 16
- Lung Cancer Treatments and Mutations 16
- Gastric Cancer Management and Outcomes 11
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 14
- Genetics top 5%
- Glioma Diagnosis and Treatment 13
- Hepatology top 5%
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- Liver Disease Diagnosis and Treatment 14
- Neuroendocrine Tumor Research Advances 12
- Co-authors
- Yoshio KushidaHiroyasu YokomiseKyuichi KadotaYoshihiro NishiyamaYuka YamamotoCheng‐long HuangDaiki MasuyaMasaki Ueno
- Journals
- SHILAP Revista de lepidopterología (5 papers)PLoS ONE (1 paper)Cancer (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Reiji Haba
206 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 124
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 1.2k
- Cancer Research 527
- Genetics 300
- Hepatology 208
Countries citing papers authored by Reiji Haba
This map shows the geographic impact of Reiji Haba'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 Reiji Haba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiji Haba more than expected).
Fields of papers citing papers by Reiji Haba
This network shows the impact of papers produced by Reiji Haba. 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 Reiji Haba. The network helps show where Reiji Haba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Reiji Haba, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 10 | |
| 10 | 2014 | 7 | |
| 11 | 2013 | 3 | |
| 12 | 2011 | 32 | |
| 13 | 2010 | 5 | |
| 14 | 2010 | 5 | |
| 15 | Indication for skin-sparing mastectomy with or without nipple preservation for primary breast cancer. | 2010 | 2 |
| 16 | 2006 | 1 | |
| 17 | 2002 | 2 | |
| 18 | 2001 | 3 | |
| 19 | 1999 | 0 | |
| 20 | 1997 | 2 |
About Reiji Haba
Reiji Haba is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 216 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (16 papers), Cancer, Hypoxia, and Metabolism (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Glioma Diagnosis and Treatment (13 papers), Neuroendocrine Tumor Research Advances (12 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Gastric Cancer Management and Outcomes (11 papers). The work is most often cited by research in Oncology (1.1k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Cancer Research (527 citations). Reiji Haba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshio Kushida, Hiroyasu Yokomise, Kyuichi Kadota, Yoshihiro Nishiyama, Yuka Yamamoto, Cheng‐long Huang, Daiki Masuya, Masaki Ueno, Takashi Tamiya and Kotaro Kameyama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and 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.