Aijin Wang
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Pancreatic and Hepatic Oncology Research
Papers in
-
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 2
- Oncology 9
- Cancer-related Molecular Pathways 6
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Naoki Yoshimi (6 shared papers)Michael C. MacLeod (4 shared papers)Hideki Mori (4 shared papers)Takuji Tanaka (3 shared papers)Natsuko Ino (2 shared papers)D. Gale Johnson (2 shared papers)Addanki P. Kumar (1 shared paper)Robin Schneider‐Broussard (1 shared paper)
- Journals
- Molecular Carcinogenesis (3 papers)Carcinogenesis (3 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Biological Psychiatry (2 papers)Cancer (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Aijin Wang
23 papers receiving 684 citations
Peers
Comparison fields: 5 of 81
- Oncology 369
- Cancer Research 100
- Molecular Biology 391
- Biotechnology 38
- Cell Biology 61
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 109 | |
| 2 | 1992 | 104 | |
| 3 | 2000 | 101 | |
| 4 | 1996 | 70 | |
| 5 | 2003 | 57 | |
| 6 | 2008 | 46 | |
| 7 | 1993 | 31 | |
| 8 | 1994 | 30 | |
| 9 | 2007 | 25 | |
| 10 | 1995 | 22 | |
| 11 | 1994 | 20 | |
| 12 | 2009 | 18 | |
| 13 | 1997 | 17 | |
| 14 | 2001 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 1994 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Aijin Wang
Aijin Wang is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 23 papers that have together received 695 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Pancreatic and Hepatic Oncology Research (3 papers), DNA Repair Mechanisms (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Cancer Research and Treatments (2 papers), Genomics and Chromatin Dynamics (2 papers), BRCA gene mutations in cancer (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Oncology (369 citations), Cancer Research (100 citations), Molecular Biology (391 citations), Biotechnology (38 citations) and Cell Biology (61 citations). Aijin Wang has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Naoki Yoshimi, Michael C. MacLeod, Hideki Mori, Takuji Tanaka, Natsuko Ino, D. Gale Johnson, Addanki P. Kumar, Robin Schneider‐Broussard, Masumi Suzui and Hideki Mori. Their work appears in journals such as Molecular Carcinogenesis, Carcinogenesis, Journal of Cancer Research and Clinical Oncology, Biological Psychiatry 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.