Akihiro Wada
- Immunology top 1%
- Galectins and Cancer Biology 18
- Immune Response and Inflammation 10
- Microbiology top 1%
- Antimicrobial Peptides and Activities 17
- Small Animals top 1%
- Endocrinology top 5%
- Escherichia coli research studies 5
- Surgery top 2%
- Helicobacter pylori-related gastroenterology studies 28
-
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 7
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Toshiya HirayamaTakuro NiidomeHaruhiko AoyagiJoel MossKinnosuke YahiroMiyuki KimuraNobuyuki FujitaAkira Ishihama
- Cited by
- ImmunologyMicrobiologySmall Animals
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (10 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
Akihiro Wada
86 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 120
- Immunology 1.7k
- Microbiology 462
- Small Animals 307
- Endocrinology 168
- Surgery 1.4k
Countries citing papers authored by Akihiro Wada
This map shows the geographic impact of Akihiro Wada'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 Akihiro Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Wada more than expected).
Fields of papers citing papers by Akihiro Wada
This network shows the impact of papers produced by Akihiro Wada. 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 Akihiro Wada. The network helps show where Akihiro Wada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akihiro Wada, 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 | 2024 | 0 | |
| 2 | 2013 | 17 | |
| 3 | 2011 | 7 | |
| 4 | 2006 | 15 | |
| 5 | 2005 | 23 | |
| 6 | 2004 | 74 | |
| 7 | 2004 | 78 | |
| 8 | 2004 | 35 | |
| 9 | 2004 | 36 | |
| 10 | 2004 | 27 | |
| 11 | 2003 | 108 | |
| 12 | 2002 | 1 | |
| 13 | 2002 | 130 | |
| 14 | 2000 | 41 | |
| 15 | 2000 | 16 | |
| 16 | 1999 | 37 | |
| 17 | 1999 | 9 | |
| 18 | 1997 | 23 | |
| 19 | 1996 | 28 | |
| 20 | 1991 | 4 |
About Akihiro Wada
Akihiro Wada is a scholar working on Microbiology, Immunology and Endocrinology, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (28 papers), Galectins and Cancer Biology (18 papers), Antimicrobial Peptides and Activities (17 papers), RNA Interference and Gene Delivery (13 papers), Immune Response and Inflammation (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Immunology (1.7k citations), Microbiology (462 citations) and Small Animals (307 citations). Akihiro Wada has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Toshiya Hirayama, Takuro Niidome, Haruhiko Aoyagi, Joel Moss, Kinnosuke Yahiro, Miyuki Kimura, Nobuyuki Fujita, Akira Ishihama, Y. Yamazaki and Masaaki Nakayama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.