Masataka Baba
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
- Oncology top 1%
- Chemokine receptors and signaling
Papers in
- Immunology 11
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- T-cell and Retrovirus Studies 2
- Oncology 6
- Chemokine receptors and signaling 6
- Co-authors
- Osamu Yoshie (12 shared papers)Toshio Imai (11 shared papers)Mayumi Kakizaki (5 shared papers)Miyuki Nishimura (4 shared papers)Hisayuki Nomiyama (7 shared papers)Shin Takagi (4 shared papers)Kunio Hieshima (5 shared papers)Morio Nagira (2 shared papers)
In The Last Decade
Masataka Baba
14 papers receiving 3.4k citations
Masataka Baba's Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 2.2k
- Oncology 1.9k
- Immunology and Allergy 331
- Virology 121
- Neurology 190
Countries citing papers authored by Masataka Baba
This map shows the geographic impact of Masataka 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 Masataka Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Baba more than expected).
Fields of papers citing papers by Masataka Baba
This network shows the impact of papers produced by Masataka 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 Masataka Baba. The network helps show where Masataka Baba may publish in the future.
Co-authors
The 25 scholars most cited alongside Masataka 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 | Identification and Molecular Characterization of Fractalkine Receptor CX3CR1, which Mediates Both Leukocyte Migration and Adhesion Hit paper breakdown → | 1997 | 1232 |
| 2 | 1997 | 496 | |
| 3 | 1997 | 375 | |
| 4 | 1997 | 359 | |
| 5 | 1996 | 274 | |
| 6 | 1997 | 226 | |
| 7 | 1999 | 190 | |
| 8 | 1998 | 135 | |
| 9 | 1998 | 119 | |
| 10 | 1996 | 61 | |
| 11 | 1999 | 52 | |
| 12 | 1993 | 3 | |
| 13 | 1996 | 3 | |
| 14 | 2000 | 1 |
About Masataka Baba
Masataka Baba is a scholar working on Immunology, Oncology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science, having authored 14 papers that have together received 3.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Chemokine receptors and signaling (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (2 papers), Vector-Borne Animal Diseases (2 papers), T-cell and Retrovirus Studies (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Immunology (2.2k citations), Oncology (1.9k citations), Immunology and Allergy (331 citations), Virology (121 citations) and Neurology (190 citations). Masataka Baba has collaborated with scholars based in Japan and Belgium. Frequent co-authors include Osamu Yoshie, Toshio Imai, Mayumi Kakizaki, Miyuki Nishimura, Hisayuki Nomiyama, Shin Takagi, Kunio Hieshima, Morio Nagira, Thomas J. Schall and Christopher A. Haskell. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Cancer, European Journal of Immunology, The Journal of Immunology and Journal of Clinical Investigation.
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.