DA Williams
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
-
- RNA Interference and Gene Delivery 3
- CRISPR and Genetic Engineering 3
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Di Martin (2 shared papers)T Moritz (2 shared papers)RE Donahue (2 shared papers)DM Bodine (2 shared papers)AW Nienhuis (2 shared papers)SH Orkin (2 shared papers)Margery Rosenblatt (1 shared paper)K M Zsebo (1 shared paper)
- Journals
- Blood (6 papers)Value in Health (2 papers)Cancer Research (1 paper)Biophysical Journal (1 paper)Rehabilitation Oncology (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
DA Williams
14 papers receiving 723 citations
Peers
Comparison fields: 5 of 53
- Hematology 185
- Genetics 400
- Genetics 88
- Oncology 194
- Molecular Biology 407
Countries citing papers authored by DA Williams
This map shows the geographic impact of DA Williams'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 DA Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DA Williams more than expected).
Fields of papers citing papers by DA Williams
This network shows the impact of papers produced by DA Williams. 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 DA Williams. The network helps show where DA Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside DA Williams, 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 | 1993 | 160 | |
| 2 | 1993 | 141 | |
| 3 | 1992 | 119 | |
| 4 | 1990 | 116 | |
| 5 | 1993 | 107 | |
| 6 | 2003 | 70 | |
| 7 | 1985 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 1990 | 5 | |
| 10 | 1994 | 5 | |
| 11 | 2013 | 3 | |
| 12 | Sindrome da malassorbimento in un gatto con Leishmaniosi. | 2005 | 3 |
| 13 | Release of mitochondrial Ca2 via the permeability transition activates endoplasmic reticulum Ca2 uptake | 2001 | 1 |
| 14 | 2009 | 1 | |
| 15 | The Characteristics of International Joint Ventures in Thailand | 2010 | 0 |
About DA Williams
DA Williams is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Hematology, having authored 15 papers that have together received 744 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Trypanosoma species research and implications (1 paper), Cardiovascular Effects of Exercise (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (185 citations), Genetics (400 citations), Genetics (88 citations), Oncology (194 citations) and Molecular Biology (407 citations). DA Williams has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Di Martin, T Moritz, RE Donahue, DM Bodine, AW Nienhuis, SH Orkin, Margery Rosenblatt, K M Zsebo, Davina Porock and Lisa K. Jacobs. Their work appears in journals such as Blood, Value in Health, Cancer Research, Biophysical Journal and Rehabilitation 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.