Akiko Uchida
Impact in
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- Lung Cancer Treatments and Mutations
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- HER2/EGFR in Cancer Research
- Lung Cancer Research Studies
Papers in
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- Cancer therapeutics and mechanisms 4
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Katsuyuki Kiura (7 shared papers)Mitsune Tanimoto (5 shared papers)Minoru Takata (5 shared papers)Hiroyuki Kitao (3 shared papers)Seiki Hirano (3 shared papers)Nagio Takigawa (3 shared papers)Atsuko Ogino (5 shared papers)Masamichi Ishiai (2 shared papers)
- Journals
- International Journal of Hematology (4 papers)Journal of Diabetes Investigation (2 papers)Cancer Research (2 papers)Plastic & Reconstructive Surgery (2 papers)Cancer Science (2 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Akiko Uchida
53 papers receiving 741 citations
Peers
Comparison fields: 5 of 107
- Pulmonary and Respiratory Medicine 221
- Oncology 179
- Obstetrics and Gynecology 32
- Cancer Research 51
- Internal Medicine 9
Countries citing papers authored by Akiko Uchida
This map shows the geographic impact of Akiko Uchida'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 Akiko Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Uchida more than expected).
Fields of papers citing papers by Akiko Uchida
This network shows the impact of papers produced by Akiko Uchida. 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 Akiko Uchida. The network helps show where Akiko Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Akiko Uchida, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 154 | |
| 2 | 1991 | 48 | |
| 3 | 2011 | 46 | |
| 4 | 2005 | 46 | |
| 5 | 1990 | 45 | |
| 6 | 2007 | 41 | |
| 7 | 2007 | 40 | |
| 8 | 2007 | 28 | |
| 9 | 2006 | 27 | |
| 10 | 2001 | 19 | |
| 11 | 2015 | 19 | |
| 12 | 1998 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2008 | 11 | |
| 18 | 2002 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 1987 | 11 |
About Akiko Uchida
Akiko Uchida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 54 papers that have together received 766 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Parvovirus B19 Infection Studies (4 papers), Acute Myeloid Leukemia Research (4 papers), Cancer therapeutics and mechanisms (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Dermatologic Treatments and Research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (221 citations), Oncology (179 citations), Obstetrics and Gynecology (32 citations), Cancer Research (51 citations) and Internal Medicine (9 citations). Akiko Uchida has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Katsuyuki Kiura, Mitsune Tanimoto, Minoru Takata, Hiroyuki Kitao, Seiki Hirano, Nagio Takigawa, Atsuko Ogino, Masamichi Ishiai, Toshiyuki Kozuki and Shugo Soeda. Their work appears in journals such as International Journal of Hematology, Journal of Diabetes Investigation, Cancer Research, Plastic & Reconstructive Surgery and Cancer Science.
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.