Seiji Haba
- Immunology
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Immunology and Allergy top 10%
- Physiology
- Co-authors
- Alfred NisonoffKiyoshi TakatsuEdward M. RosenMasayasu KitagawaToshiyuki HamaokaMarie‐Bernard LascombeRoberto J. PoljakPedro M. Alzari
- Topics
- Monoclonal and Polyclonal Antibodies Research (19 papers)T-cell and B-cell Immunology (11 papers)Glycosylation and Glycoproteins Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesJapanFrance
In The Last Decade
Seiji Haba
24 papers receiving 358 citations
Peers
Comparison fields: 5 of 59
- Immunology 205
- Radiology, Nuclear Medicine and Imaging 204
- Molecular Biology 112
- Immunology and Allergy 75
- Physiology 55
Countries citing papers authored by Seiji Haba
This map shows the geographic impact of Seiji Haba'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 Seiji Haba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Haba more than expected).
Fields of papers citing papers by Seiji Haba
This network shows the impact of papers produced by Seiji Haba. 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 Seiji Haba. The network helps show where Seiji Haba may publish in the future.
Co-authorship network of co-authors of Seiji Haba
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Haba. A scholar is included among the top collaborators of Seiji Haba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seiji Haba. Seiji Haba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 68 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 22 | |
| 14 | 6 | |
| 15 | 20 | |
| 16 | 50 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | [Disturbance of immune surveillance in tumor-bearing host (author's transl)]. | 0 |
| 20 | 11 |
About Seiji Haba
Seiji Haba is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Biotechnology, having authored 25 papers that have together received 372 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (19 papers), T-cell and B-cell Immunology (11 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Immunology and Allergy (75 citations), Immunology (205 citations) and Radiology, Nuclear Medicine and Imaging (204 citations). Seiji Haba has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Alfred Nisonoff, Kiyoshi Takatsu, Edward M. Rosen, Masayasu Kitagawa, Toshiyuki Hamaoka, Marie‐Bernard Lascombe, Roberto J. Poljak, Pedro M. Alzari, G. Boulot and P. Saludjian. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.