Koji Numata
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
Papers in
- Co-authors
- Akio Kanai (9 shared papers)Masaru Tomita (7 shared papers)Hidenori Kiyosawa (7 shared papers)Rintaro Saito (7 shared papers)Rintaro Saito (2 shared papers)Kuniya Abe (6 shared papers)Takefumi Kondo (1 shared paper)Sachi Inagaki (1 shared paper)
In The Last Decade
Koji Numata
42 papers receiving 541 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 216
- Molecular Biology 421
- Genetics 102
- Aging 6
- Endocrinology 11
Countries citing papers authored by Koji Numata
This map shows the geographic impact of Koji Numata'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 Koji Numata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Numata more than expected).
Fields of papers citing papers by Koji Numata
This network shows the impact of papers produced by Koji Numata. 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 Koji Numata. The network helps show where Koji Numata may publish in the future.
Co-authors
The 25 scholars most cited alongside Koji Numata, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 118 | |
| 2 | 2005 | 88 | |
| 3 | 2008 | 41 | |
| 4 | 2005 | 37 | |
| 5 | 2006 | 33 | |
| 6 | 2010 | 28 | |
| 7 | 1997 | 27 | |
| 8 | 2006 | 26 | |
| 9 | 2011 | 18 | |
| 10 | 2013 | 14 | |
| 11 | 2009 | 12 | |
| 12 | 2011 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2015 | 12 | |
| 15 | 2013 | 10 | |
| 16 | Combining the Glasgow Prognostic Score and Serum Carbohydrate Antigen 19-9 Level Improves the Ability to Predict Early Recurrence in Resected Pancreatic Cancer Patients Receiving Adjuvant Gemcitabine. | 2016 | 9 |
| 17 | 2019 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Koji Numata
Koji Numata is a scholar working on Oncology, Surgery, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 550 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (10 papers), RNA Research and Splicing (8 papers), Gastric Cancer Management and Outcomes (8 papers), Cancer-related molecular mechanisms research (7 papers), Colorectal Cancer Surgical Treatments (5 papers), Esophageal Cancer Research and Treatment (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Cancer Research (216 citations), Molecular Biology (421 citations), Genetics (102 citations), Aging (6 citations) and Endocrinology (11 citations). Koji Numata has collaborated with scholars based in Japan, Sweden and Australia. Frequent co-authors include Akio Kanai, Masaru Tomita, Hidenori Kiyosawa, Rintaro Saito, Rintaro Saito, Kuniya Abe, Takefumi Kondo, Sachi Inagaki, Kunio Yasuda and Yuji Kageyama. Their work appears in journals such as Gene, Journal of Clinical Oncology, Human Molecular Genetics, Surgery Today and Anticancer Research.
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.