Daniel Williams
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Protist diversity and phylogeny 2
- Genetics 5
- Virus-based gene therapy research 4
- Mesenchymal stem cell research 1
- Co-authors
- Stuart H. Orkin (2 shared papers)Stephan Paul (1 shared paper)Frances Bennett (1 shared paper)Clive R. Wood (1 shared paper)Steven C. Clark (1 shared paper)R M O'Hara (1 shared paper)Kerry Kelleher (1 shared paper)Richard C. Mulligan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Antibiotics (1 paper)Cancer Biology & Therapy (1 paper)Chemical Science (1 paper)ACS Omega (1 paper)
- Partner nations
- United StatesGhanaIndia
In The Last Decade
Daniel Williams
12 papers receiving 1.4k citations
Daniel Williams's Hit Papers
Peers
Comparison fields: 5 of 99
- Hematology 310
- Immunology 580
- Immunology and Allergy 101
- Genetics 385
- Oncology 356
Countries citing papers authored by Daniel Williams
This map shows the geographic impact of Daniel 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 Daniel Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Williams more than expected).
Fields of papers citing papers by Daniel Williams
This network shows the impact of papers produced by Daniel 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 Daniel Williams. The network helps show where Daniel Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 | Molecular cloning of a cDNA encoding interleukin 11, a stromal cell-derived lymphopoietic and hematopoietic cytokine. Hit paper breakdown → | 1990 | 535 |
| 2 | Dominant negative mutation of the hematopoietic-specific Rho GTPase, Rac2, is associated with a human phagocyte immunodeficiency. | 2000 | 262 |
| 3 | 1992 | 257 | |
| 4 | 1986 | 158 | |
| 5 | 1989 | 116 | |
| 6 | 2020 | 45 | |
| 7 | 2006 | 38 | |
| 8 | 2013 | 27 | |
| 9 | 2007 | 24 | |
| 10 | 2012 | 17 | |
| 11 | 2014 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 0 | |
| 14 | 2000 | 0 |
About Daniel Williams
Daniel Williams is a scholar working on Molecular Biology, Genetics, Immunology, Ecology and Hematology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Microbial Community Ecology and Physiology (2 papers), Protist diversity and phylogeny (2 papers), Marine Ecology and Invasive Species (2 papers), Antimicrobial Peptides and Activities (1 paper), Peptidase Inhibition and Analysis (1 paper), Mesenchymal stem cell research (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Hematology (310 citations), Immunology (580 citations), Immunology and Allergy (101 citations), Genetics (385 citations) and Oncology (356 citations). Daniel Williams has collaborated with scholars based in United States, Ghana and India. Frequent co-authors include Stuart H. Orkin, Stephan Paul, Frances Bennett, Clive R. Wood, Steven C. Clark, R M O'Hara, Kerry Kelleher, Richard C. Mulligan, David Brankow and KM Zsebo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Antibiotics, Cancer Biology & Therapy, Chemical Science and ACS Omega.
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.