Daichi Baba
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
-
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Glycosylation and Glycoproteins Research
- Epigenetics and DNA Methylation
Papers in
-
- Protein Degradation and Inhibitors 2
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Oncology 4
- HER2/EGFR in Cancer Research 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Masahiro Shirakawa (5 shared papers)Tadashi Baba (2 shared papers)Shin‐ichi Kashiwabara (2 shared papers)Hisato Saitoh (3 shared papers)Hidehito Tochio (3 shared papers)Yasuhiro Uchimura (3 shared papers)Fumio Hanaoka (2 shared papers)Hidekazu Hiroaki (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)ACS Medicinal Chemistry Letters (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Annals of Intensive Care (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Daichi Baba
13 papers receiving 728 citations
Peers
Comparison fields: 5 of 77
- Reproductive Medicine 162
- Molecular Biology 501
- Genetics 179
- Cell Biology 85
- Public Health, Environmental and Occupational Health 143
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 | 185 | |
| 2 | 2002 | 147 | |
| 3 | 2005 | 108 | |
| 4 | 2004 | 96 | |
| 5 | 2008 | 65 | |
| 6 | 2006 | 52 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 15 | |
| 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 737 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Reproductive Medicine (162 citations), Molecular Biology (501 citations), Genetics (179 citations), Cell Biology (85 citations) and Public Health, Environmental and Occupational Health (143 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, Hisato Saitoh, Hidehito Tochio, Yasuhiro Uchimura, Fumio Hanaoka, Hidekazu Hiroaki, Kaoru Sugasawa and Nobuo Maita. Their work appears in journals such as Journal of Biological Chemistry, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Annals of Intensive Care and Journal of Molecular Biology.
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.