Makoto Iwaya
- Molecular Biology
- Genetics top 5%
- Ecology top 10%
- Insect Science top 10%
- Molecular Medicine top 10%
- Co-authors
- David T. DenhardtJack L. StromingerYutaka NakahoriRandy SchekmanDavy JonesRobert C. GoldmanC. Weldon JonesDonald J. Tipper
- Topics
- Bacterial Genetics and Biotechnology (8 papers)Bacteriophages and microbial interactions (6 papers)DNA and Nucleic Acid Chemistry (6 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makoto Iwaya
29 papers receiving 661 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 439
- Genetics 362
- Ecology 165
- Insect Science 72
- Molecular Medicine 65
Countries citing papers authored by Makoto Iwaya
This map shows the geographic impact of Makoto Iwaya'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 Makoto Iwaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Iwaya more than expected).
Fields of papers citing papers by Makoto Iwaya
This network shows the impact of papers produced by Makoto Iwaya. 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 Makoto Iwaya. The network helps show where Makoto Iwaya may publish in the future.
Co-authorship network of co-authors of Makoto Iwaya
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Iwaya. A scholar is included among the top collaborators of Makoto Iwaya 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 Makoto Iwaya. Makoto Iwaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Microchimerism and graft acceptance: cardiac allograft acceptance following antiadhesion molecules antibody therapy. | 1 |
| 3 | 24 | |
| 4 | Microchimerism and liver graft acceptance. | 4 |
| 5 | Polymerase chain reaction of the rat sex-determining region of the Y-chromosome and its application to estimating a state of sensitization to minor histocompatibility antigen H-Y. | 9 |
| 6 | Microchimerism and heart allograft acceptance. | 6 |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 158 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 13 | |
| 14 | 54 | |
| 15 | 66 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 56 | |
| 19 | 82 | |
| 20 | 39 |
About Makoto Iwaya
Makoto Iwaya is a scholar working on Transplantation, Genetics and Insect Science, having authored 29 papers that have together received 759 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Molecular Medicine (65 citations), Genetics (362 citations) and Endocrinology (42 citations). Makoto Iwaya has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include David T. Denhardt, Jack L. Strominger, Yutaka Nakahori, Randy Schekman, Davy Jones, Robert C. Goldman, C. Weldon Jones, Donald J. Tipper, Grace Jones and Brian Feingold. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Cancer.
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.