A. M. Wu
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- RNA and protein synthesis mechanisms 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Genetics 8
- Virus-based gene therapy research 6
- Co-authors
- Louis Siminovitch (4 shared papers)J. E. Till (4 shared papers)E. A. McCulloch (5 shared papers)Robert C. Gallo (9 shared papers)Michael Paran (4 shared papers)Linda S. Richardson (3 shared papers)Sudipta Ghosh (3 shared papers)Harrison Echols (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Cellular Physiology (4 papers)Journal of Molecular Biology (2 papers)Journal of Virology (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
A. M. Wu
27 papers receiving 888 citations
Peers
Comparison fields: 5 of 82
- Hematology 320
- Genetics 178
- Immunology 293
- Oncology 201
- Virology 34
Countries citing papers authored by A. M. Wu
This map shows the geographic impact of A. M. Wu'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 A. M. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Wu more than expected).
Fields of papers citing papers by A. M. Wu
This network shows the impact of papers produced by A. M. Wu. 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 A. M. Wu. The network helps show where A. M. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside A. M. Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 311 | |
| 2 | 1967 | 207 | |
| 3 | 1968 | 75 | |
| 4 | 1973 | 60 | |
| 5 | 1967 | 47 | |
| 6 | 1974 | 46 | |
| 7 | 1972 | 43 | |
| 8 | 1972 | 31 | |
| 9 | 1974 | 27 | |
| 10 | 1983 | 22 | |
| 11 | 1974 | 19 | |
| 12 | 1977 | 18 | |
| 13 | 1976 | 17 | |
| 14 | 1975 | 17 | |
| 15 | 1975 | 16 | |
| 16 | 1972 | 16 | |
| 17 | 1975 | 15 | |
| 18 | A survey on the effect of steroid hormone on type C virus production from cultured murine cells. | 1976 | 12 |
| 19 | 2024 | 12 | |
| 20 | Generation time of leukaemic blast progenitor cells. | 1983 | 11 |
About A. M. Wu
A. M. Wu is a scholar working on Molecular Biology, Genetics, Immunology, Ecology and Oncology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Bacteriophages and microbial interactions (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Cells and Metastasis (4 papers), RNA and protein synthesis mechanisms (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Effects of Radiation Exposure (4 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (320 citations), Genetics (178 citations), Immunology (293 citations), Oncology (201 citations) and Virology (34 citations). A. M. Wu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Louis Siminovitch, J. E. Till, E. A. McCulloch, Robert C. Gallo, Michael Paran, Linda S. Richardson, Sudipta Ghosh, Harrison Echols, R. C. Ting and M S Reitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Cellular Physiology, Journal of Molecular Biology, Journal of Virology and International Journal of 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.