Mika Wada
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Rehabilitation top 10%
Papers in
-
- Angiogenesis and VEGF in Cancer 8
- Surgery 10
- Pancreatic function and diabetes 5
- Co-authors
- Takayuki Asahara (8 shared papers)Haruchika Masuda (7 shared papers)Hideki Iwaguro (4 shared papers)Masamichi Eguchi (4 shared papers)Yo Iwami (3 shared papers)Sang‐Mo Kwon (3 shared papers)Kayoko Tono (4 shared papers)Tetsuro Tamaki (4 shared papers)
- Journals
- Circulation Research (2 papers)Molecular and Cellular Biology (1 paper)British Journal of Haematology (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Journal of Dental Research (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Mika Wada
29 papers receiving 897 citations
Peers
Comparison fields: 5 of 91
- Genetics 242
- Rehabilitation 54
- Periodontics 35
- Molecular Biology 497
- Cancer Research 91
Countries citing papers authored by Mika Wada
This map shows the geographic impact of Mika 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 Mika Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Wada more than expected).
Fields of papers citing papers by Mika Wada
This network shows the impact of papers produced by Mika 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 Mika Wada. The network helps show where Mika Wada may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 141 | |
| 2 | 2008 | 99 | |
| 3 | 2012 | 59 | |
| 4 | 2007 | 59 | |
| 5 | 2011 | 51 | |
| 6 | 2009 | 50 | |
| 7 | 2008 | 43 | |
| 8 | 2004 | 42 | |
| 9 | 2007 | 38 | |
| 10 | 2003 | 38 | |
| 11 | 2005 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2008 | 34 | |
| 14 | 2006 | 32 | |
| 15 | 2004 | 24 | |
| 16 | 2002 | 24 | |
| 17 | 2002 | 22 | |
| 18 | 2001 | 18 | |
| 19 | Body Pressure Sensing Mattress for Bedsore Prevention | 2014 | 17 |
| 20 | 2011 | 13 |
About Mika Wada
Mika Wada is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 32 papers that have together received 920 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Mesenchymal stem cell research (7 papers), Diabetes Management and Research (5 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Genetics (242 citations), Rehabilitation (54 citations), Periodontics (35 citations), Molecular Biology (497 citations) and Cancer Research (91 citations). Mika Wada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Takayuki Asahara, Haruchika Masuda, Hideki Iwaguro, Masamichi Eguchi, Yo Iwami, Sang‐Mo Kwon, Kayoko Tono, Tetsuro Tamaki, Rica Tanaka and Atsuhiko Kawamoto. Their work appears in journals such as Circulation Research, Molecular and Cellular Biology, British Journal of Haematology, Journal of Molecular and Cellular Cardiology and Journal of Dental Research.
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.