Tadashi Baba
Impact in
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Enzyme Production and Characterization 15
-
- Food composition and properties 17
- Co-authors
- Keiichi HiramatsuFumihiko TakeuchiOlaf SchneewindYuji AraiShin‐ichi KashiwabaraTaeok BaeLongzhu CuiShigeki Iwase
- Journals
- Journal of Reproduction and Development (9 papers)Journal of Bacteriology (7 papers)FEBS Letters (7 papers)Carbohydrate Research (6 papers)Biochemical and Biophysical Research Communications (6 papers)
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Tadashi Baba
151 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Infectious Diseases 2.4k
- Clinical Biochemistry 731
- Molecular Biology 5.0k
- Reproductive Medicine 583
- Microbiology 367
Countries citing papers authored by Tadashi Baba
This map shows the geographic impact of Tadashi 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 Tadashi Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Baba more than expected).
Fields of papers citing papers by Tadashi Baba
This network shows the impact of papers produced by Tadashi 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 Tadashi Baba. The network helps show where Tadashi Baba may publish in the future.
Co-authors
The 25 scholars most cited alongside Tadashi 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 | 2021 | 19 | |
| 2 | 2019 | 24 | |
| 3 | ホスファチジルイノシトール4-リン酸5-キナーゼは,マウス精子形成に不可欠である | 2012 | 21 |
| 4 | 2011 | 9 | |
| 5 | 2009 | 23 | |
| 6 | 2009 | 357 | |
| 7 | 2008 | 91 | |
| 8 | 2007 | 0 | |
| 9 | 2007 | 75 | |
| 10 | 2006 | 63 | |
| 11 | 2006 | 185 | |
| 12 | 2005 | 0 | |
| 13 | 2003 | 2 | |
| 14 | 2001 | 25 | |
| 15 | 2001 | 17 | |
| 16 | 2000 | 99 | |
| 17 | Retention of N-Formylmethionine in Recombinant Bacterial Cytochrome-P450 Enzymes Containing the N-Terminal Sequence Malllavfl | 1995 | 2 |
| 18 | 1995 | 57 | |
| 19 | 1995 | 11 | |
| 20 | 1993 | 35 |
About Tadashi Baba
Tadashi Baba is a scholar working on Biotechnology, Nutrition and Dietetics, Infectious Diseases, Molecular Biology and Plant Science, having authored 156 papers that have together received 8.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (24 papers), Bacterial biofilms and quorum sensing (17 papers), Food composition and properties (17 papers), RNA Research and Splicing (16 papers), Enzyme Production and Characterization (15 papers), Biofuel production and bioconversion (10 papers), Bacterial Genetics and Biotechnology (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Clinical Biochemistry (731 citations), Molecular Biology (5.0k citations), Reproductive Medicine (583 citations) and Microbiology (367 citations). Tadashi Baba has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Keiichi Hiramatsu, Fumihiko Takeuchi, Olaf Schneewind, Yuji Arai, Shin‐ichi Kashiwabara, Taeok Bae, Longzhu Cui, Shigeki Iwase, Yang Shi and Fei Lan. Their work appears in journals such as Journal of Reproduction and Development, Journal of Bacteriology, FEBS Letters, Carbohydrate Research and Biochemical and Biophysical Research Communications.
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.