Daichi Baba
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
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- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Glycosylation and Glycoproteins Research
- Epigenetics and DNA Methylation
Papers in
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- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
- DNA Repair Mechanisms 1
- Oncology 4
- Cancer-related Molecular Pathways 2
- HER2/EGFR in Cancer Research 2
- Co-authors
- Masahiro Shirakawa (5 shared papers)Tadashi Baba (2 shared papers)Shin‐ichi Kashiwabara (2 shared papers)Yasuhiro Uchimura (3 shared papers)Hisato Saitoh (3 shared papers)Hidehito Tochio (3 shared papers)Fumio Hanaoka (2 shared papers)Kaoru Sugasawa (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)ACS Medicinal Chemistry Letters (2 papers)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Daichi Baba
13 papers receiving 759 citations
Peers
Comparison fields: 5 of 76
- Reproductive Medicine 169
- Molecular Biology 506
- Genetics 181
- Cell Biology 91
- Public Health, Environmental and Occupational Health 141
Countries citing papers authored by Daichi Baba
This map shows the geographic impact of Daichi Baba'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 Daichi Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Baba more than expected).
Fields of papers citing papers by Daichi Baba
This network shows the impact of papers produced by Daichi Baba. 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 Daichi Baba. The network helps show where Daichi Baba may publish in the future.
Co-authors
The 25 scholars most cited alongside Daichi Baba, 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 | 2005 | 190 | |
| 2 | 2002 | 158 | |
| 3 | 2005 | 114 | |
| 4 | 2004 | 100 | |
| 5 | 2008 | 66 | |
| 6 | 2006 | 52 | |
| 7 | 2017 | 29 | |
| 8 | 2019 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2004 | 12 | |
| 11 | 2018 | 8 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 |
About Daichi Baba
Daichi Baba is a scholar working on Molecular Biology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 13 papers that have together received 770 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related Molecular Pathways (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Reproductive Medicine (169 citations), Molecular Biology (506 citations), Genetics (181 citations), Cell Biology (91 citations) and Public Health, Environmental and Occupational Health (141 citations). Daichi Baba has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Masahiro Shirakawa, Tadashi Baba, Shin‐ichi Kashiwabara, Yasuhiro Uchimura, Hisato Saitoh, Hidehito Tochio, Fumio Hanaoka, Kaoru Sugasawa, Nobuo Maita and Hidekazu Hiroaki. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Nature and Proceedings of the National Academy of Sciences.
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.