DA Williams
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
Papers in
- Hematology 19
- Hematopoietic Stem Cell Transplantation 18
-
- RNA Interference and Gene Delivery 10
- CRISPR and Genetic Engineering 8
- Co-authors
- XX Du (12 shared papers)Attilio Orazi (4 shared papers)C. M. Doerschuk (2 shared papers)HE Broxmeyer (1 shared paper)J Nishimaki (1 shared paper)Keisuke Toyama (1 shared paper)Akihiko Gotoh (1 shared paper)Keisuke Miyazawa (1 shared paper)
- Journals
- Blood (28 papers)Bone Marrow Transplantation (2 papers)Seminars in Hematology (1 paper)PubMed (6 papers)
- Partner nations
- United StatesJapan
In The Last Decade
DA Williams
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Hematology 474
- Immunology 605
- Oncology 445
- Genetics 154
- Immunology and Allergy 84
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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 222 | |
| 2 | 1994 | 173 | |
| 3 | 1994 | 170 | |
| 4 | 1996 | 165 | |
| 5 | 1994 | 143 | |
| 6 | 1993 | 118 | |
| 7 | 1993 | 90 | |
| 8 | 1991 | 73 | |
| 9 | 1991 | 69 | |
| 10 | 1994 | 67 | |
| 11 | 1993 | 42 | |
| 12 | 1995 | 36 | |
| 13 | 1996 | 32 | |
| 14 | 1988 | 25 | |
| 15 | 1995 | 22 | |
| 16 | 1994 | 17 | |
| 17 | 2000 | 14 | |
| 18 | Umbilical cord blood stem cells as targets for genetic modification: new therapeutic approaches to somatic gene therapy. | 1994 | 12 |
| 19 | Erythropoiesis in murine long-term marrow cultures following transfer of the erythropoietin cDNA into marrow stromal cells. | 1990 | 11 |
| 20 | 1996 | 10 |
About DA Williams
DA Williams is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Virus-based gene therapy research (13 papers), RNA Interference and Gene Delivery (10 papers), CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (6 papers), Cancer Cells and Metastasis (5 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hematology (474 citations), Immunology (605 citations), Oncology (445 citations), Genetics (154 citations) and Immunology and Allergy (84 citations). DA Williams has collaborated with scholars based in United States and Japan. Frequent co-authors include XX Du, Attilio Orazi, C. M. Doerschuk, HE Broxmeyer, J Nishimaki, Keisuke Toyama, Akihiko Gotoh, Keisuke Miyazawa, Samuel Goldman and Tassilo Moritz. Their work appears in journals such as Blood, Bone Marrow Transplantation, Seminars in Hematology and PubMed.
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.