Abdool R. Moossa
- Biotechnology top 0.5%
- Biomedical Engineering top 5%
- Oncology top 10%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Robert M. HoffmanMichael BouvetMeng YangPing JiangKensuke YamauchiHiroyuki TsuchiyaKatsuro TomitaNorio Yamamoto
- Topics
- Cancer Research and Treatments (16 papers)Nanoplatforms for cancer theranostics (9 papers)Virus-based gene therapy research (7 papers)
- Cited by
- BiotechnologyCancer ResearchOncology
- Partner nations
- United StatesJapan
In The Last Decade
Abdool R. Moossa
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Biotechnology 606
- Biomedical Engineering 486
- Oncology 384
- Molecular Biology 375
- Genetics 287
Countries citing papers authored by Abdool R. Moossa
This map shows the geographic impact of Abdool R. Moossa'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 Abdool R. Moossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdool R. Moossa more than expected).
Fields of papers citing papers by Abdool R. Moossa
This network shows the impact of papers produced by Abdool R. Moossa. 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 Abdool R. Moossa. The network helps show where Abdool R. Moossa may publish in the future.
Co-authorship network of co-authors of Abdool R. Moossa
This figure shows the co-authorship network connecting the top 25 collaborators of Abdool R. Moossa. A scholar is included among the top collaborators of Abdool R. Moossa 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 Abdool R. Moossa. Abdool R. Moossa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 7 | |
| 3 | Tumor-educated macrophages promote tumor growth and peritoneal metastasis in an orthotopic nude mouse model of human pancreatic cancer. | 31 |
| 4 | Color-coded imaging of spontaneous vessel anastomosis in vivo. | 4 |
| 5 | 2 | |
| 6 | 106 | |
| 7 | 92 | |
| 8 | 219 | |
| 9 | 46 | |
| 10 | Common bile duct injection as a novel method for establishing red fluorescent protein (RFP)-expressing human pancreatic cancer in nude mice. | 14 |
| 11 | 95 | |
| 12 | 66 | |
| 13 | 37 | |
| 14 | 121 | |
| 15 | Simultaneous serous cystadenoma of the pancreas and mucinous cystadenoma of the appendix. | 2 |
| 16 | 26 | |
| 17 | 125 | |
| 18 | 102 | |
| 19 | Selective antimetastatic activity of cytosine analog CS-682 in a red fluorescent protein orthotopic model of pancreatic cancer. | 30 |
About Abdool R. Moossa
Abdool R. Moossa is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Research and Treatments (16 papers), Nanoplatforms for cancer theranostics (9 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Biotechnology (606 citations), Cancer Research (232 citations) and Oncology (384 citations). Abdool R. Moossa has collaborated with scholars based in United States and Japan. Frequent co-authors include Robert M. Hoffman, Michael Bouvet, Meng Yang, Ping Jiang, Kensuke Yamauchi, Hiroyuki Tsuchiya, Katsuro Tomita, Norio Yamamoto, Lingna Li and Mingxu Xu. Their work appears in journals such as Cancer Research, Journal of Cellular Biochemistry and Annals of Surgical Oncology.
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.