Muneo Inaba
Impact in
- Immunology top 0.1%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 93
- T-cell and B-cell Immunology 51
- Immunotherapy and Immune Responses 46
- Immune Cell Function and Interaction 34
- Immune Response and Inflammation 17
- Hematology 43
- Hematopoietic Stem Cell Transplantation 38
- Co-authors
- Susumu IkeharaRalph M. SteinmanKensuke InabaShin‐ichi MuramatsuNikolaus RomaniMasashi DeguchiKayo InabaKikuya Sugiura
- Journals
- Stem Cells (20 papers)Immunobiology (13 papers)Blood (10 papers)The Journal of Experimental Medicine (10 papers)The Journal of Immunology (7 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Muneo Inaba
161 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 7.1k
- Hematology 1.3k
- Genetics 959
- Immunology and Allergy 365
- Oncology 1.3k
Countries citing papers authored by Muneo Inaba
This map shows the geographic impact of Muneo Inaba'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 Muneo Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muneo Inaba more than expected).
Fields of papers citing papers by Muneo Inaba
This network shows the impact of papers produced by Muneo Inaba. 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 Muneo Inaba. The network helps show where Muneo Inaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Muneo Inaba, 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 | 2017 | 0 | |
| 2 | 2010 | 25 | |
| 3 | 2010 | 9 | |
| 4 | 2009 | 10 | |
| 5 | 2009 | 9 | |
| 6 | 2008 | 5 | |
| 7 | 2008 | 40 | |
| 8 | 2007 | 39 | |
| 9 | 2007 | 42 | |
| 10 | 2006 | 8 | |
| 11 | 2006 | 13 | |
| 12 | 2004 | 152 | |
| 13 | 2004 | 50 | |
| 14 | 2003 | 38 | |
| 15 | 2001 | 259 | |
| 16 | 2000 | 135 | |
| 17 | 1995 | 35 | |
| 18 | 1991 | 21 | |
| 19 | 1991 | 17 | |
| 20 | 1990 | 37 |
About Muneo Inaba
Muneo Inaba is a scholar working on Immunology, Hematology, Sensory Systems, Neurology and Genetics, having authored 164 papers that have together received 10.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (51 papers), Immunotherapy and Immune Responses (46 papers), Hematopoietic Stem Cell Transplantation (38 papers), Immune Cell Function and Interaction (34 papers), Mesenchymal stem cell research (20 papers), Immune Response and Inflammation (17 papers), Diabetes and associated disorders (16 papers) and Pancreatic function and diabetes (14 papers). The work is most often cited by research in Immunology (7.1k citations), Hematology (1.3k citations), Genetics (959 citations), Immunology and Allergy (365 citations) and Oncology (1.3k citations). Muneo Inaba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Susumu Ikehara, Ralph M. Steinman, Kensuke Inaba, Shin‐ichi Muramatsu, Nikolaus Romani, Masashi Deguchi, Kayo Inaba, Kikuya Sugiura, Tomoki� Ito and Hiroko Hisha. Their work appears in journals such as Stem Cells, Immunobiology, Blood, The Journal of Experimental Medicine and The Journal of Immunology.
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.