Aijin Wang
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Toxicology top 5%
Papers in
-
- DNA Repair Mechanisms 3
- RNA Interference and Gene Delivery 2
- Oncology 8
- Cancer-related Molecular Pathways 6
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Hideki Mori (5 shared papers)Takuji Tanaka (5 shared papers)Masumi Suzui (5 shared papers)Naoki Yoshimi (6 shared papers)Toshihiko Kawamori (1 shared paper)Toshihiro Kojima (1 shared paper)Kiyohisa Okamoto (1 shared paper)Michael C. MacLeod (4 shared papers)
- Journals
- Carcinogenesis (4 papers)Molecular Carcinogenesis (3 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Biological Psychiatry (2 papers)Cancer Letters (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Aijin Wang
25 papers receiving 950 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 106
- Toxicology 40
- Oncology 253
- Cancer Research 115
- Pharmacology 64
Countries citing papers authored by Aijin Wang
This map shows the geographic impact of Aijin Wang'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 Aijin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijin Wang more than expected).
Fields of papers citing papers by Aijin Wang
This network shows the impact of papers produced by Aijin Wang. 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 Aijin Wang. The network helps show where Aijin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aijin Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 296 | |
| 2 | 1997 | 109 | |
| 3 | 2000 | 101 | |
| 4 | 1992 | 85 | |
| 5 | 1996 | 70 | |
| 6 | 2003 | 57 | |
| 7 | 2008 | 48 | |
| 8 | 1993 | 31 | |
| 9 | 1994 | 31 | |
| 10 | 2007 | 25 | |
| 11 | 1995 | 22 | |
| 12 | 1994 | 20 | |
| 13 | 2009 | 18 | |
| 14 | 1997 | 17 | |
| 15 | 2001 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 1994 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 5 |
About Aijin Wang
Aijin Wang is a scholar working on Molecular Biology, Oncology, Toxicology, Immunology and Sociology and Political Science, having authored 26 papers that have together received 985 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), RNA Interference and Gene Delivery (2 papers), Impact of Technology on Adolescents (2 papers), Digital Mental Health Interventions (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Biochemistry (106 citations), Toxicology (40 citations), Oncology (253 citations), Cancer Research (115 citations) and Pharmacology (64 citations). Aijin Wang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Hideki Mori, Takuji Tanaka, Masumi Suzui, Naoki Yoshimi, Toshihiko Kawamori, Toshihiro Kojima, Kiyohisa Okamoto, Michael C. MacLeod, Natsuko Ino and D. Gale Johnson. Their work appears in journals such as Carcinogenesis, Molecular Carcinogenesis, Journal of Cancer Research and Clinical Oncology, Biological Psychiatry and Cancer Letters.
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.