Makiya Nishikawa
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 156
- Advanced biosensing and bioanalysis techniques 50
- DNA and Nucleic Acid Chemistry 26
- Extracellular vesicles in disease 20
- Immunology top 1%
- Immunotherapy and Immune Responses 57
- Immune Response and Inflammation 29
- Immune Cell Function and Interaction 21
- Biomaterials top 0.5%
- Pharmaceutical Science top 1%
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- Virus-based gene therapy research 42
- Co-authors
- Yoshinobu TakakuraMitsuru HashidaYuki TakahashiFumiyoshi YamashitaMasaki MorishitaLeaf HuangA. MatsumotoChonlada Charoenviriyakul
- Journals
- Angewandte Chemie International Edition (1 paper)ACS Nano (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Makiya Nishikawa
306 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 2.2k
- Molecular Biology 9.1k
- Immunology 2.2k
- Biomaterials 1.3k
- Pharmaceutical Science 391
Countries citing papers authored by Makiya Nishikawa
This map shows the geographic impact of Makiya Nishikawa'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 Makiya Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiya Nishikawa more than expected).
Fields of papers citing papers by Makiya Nishikawa
This network shows the impact of papers produced by Makiya Nishikawa. 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 Makiya Nishikawa. The network helps show where Makiya Nishikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makiya Nishikawa, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 63 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 5 | |
| 12 | 2013 | 2 | |
| 13 | 2010 | 63 | |
| 14 | 2008 | 10 | |
| 15 | 2007 | 76 | |
| 16 | 2007 | 20 | |
| 17 | 2004 | 0 | |
| 18 | 2002 | 50 | |
| 19 | 2001 | 36 | |
| 20 | 1991 | 3 |
About Makiya Nishikawa
Makiya Nishikawa is a scholar working on Immunology, Molecular Biology and Hepatology, having authored 313 papers that have together received 12.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (156 papers), Immunotherapy and Immune Responses (57 papers), Advanced biosensing and bioanalysis techniques (50 papers), Virus-based gene therapy research (42 papers), Immune Response and Inflammation (29 papers), DNA and Nucleic Acid Chemistry (26 papers), Immune Cell Function and Interaction (21 papers) and Extracellular vesicles in disease (20 papers). The work is most often cited by research in Cancer Research (2.2k citations), Molecular Biology (9.1k citations) and Immunology (2.2k citations). Makiya Nishikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshinobu Takakura, Mitsuru Hashida, Yuki Takahashi, Fumiyoshi Yamashita, Masaki Morishita, Leaf Huang, A. Matsumoto, Chonlada Charoenviriyakul, Shigeru Kawakami and Takafumi Imai. Their work appears in journals such as Angewandte Chemie International Edition, ACS Nano 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.