D A Withers
Impact in
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 5
- RNA Research and Splicing 2
- DNA and Nucleic Acid Chemistry 1
- Cell death mechanisms and regulation 1
-
- Transgenic Plants and Applications 2
- Co-authors
- Cynthia A. Bayer (1 shared paper)James W. Fristrom (1 shared paper)Gregory M. Guild (1 shared paper)Kate A. Carey (2 shared papers)Richard C. Harvey (2 shared papers)O.O. Melnyk (1 shared paper)T C Meeker (1 shared paper)John B. Faust (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Blood (1 paper)Genetics (1 paper)Glycobiology (1 paper)PubMed (3 papers)
- Partner nations
- United StatesJapan
In The Last Decade
D A Withers
9 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Immunology 303
- Biotechnology 127
- Cellular and Molecular Neuroscience 241
- Immunology and Allergy 66
- Oncology 276
Countries citing papers authored by D A Withers
This map shows the geographic impact of D A Withers'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 D A Withers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D A Withers more than expected).
Fields of papers citing papers by D A Withers
This network shows the impact of papers produced by D A Withers. 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 D A Withers. The network helps show where D A Withers may publish in the future.
Co-authors
The 25 scholars most cited alongside D A Withers, 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 | 1991 | 378 | |
| 2 | 1991 | 291 | |
| 3 | Motility inhibition and apoptosis are induced by metastasis-suppressing gene product CD82 and its analogue CD9, with concurrent glycosylation. | 1999 | 127 |
| 4 | 2010 | 77 | |
| 5 | 1989 | 68 | |
| 6 | 1989 | 53 | |
| 7 | Histo-blood group A/B versus H status of human carcinoma cells as correlated with haptotactic cell motility: approach with A and B gene transfection. | 1997 | 50 |
| 8 | Cloning of the t(11;14)(q13;q32) translocation breakpoints from two human leukemia cell lines. | 1991 | 31 |
| 9 | 1995 | 28 |
About D A Withers
D A Withers is a scholar working on Molecular Biology, Biotechnology, Immunology, Cancer Research and Genetics, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Toxin Mechanisms and Immunotoxins (2 papers), Transgenic Plants and Applications (2 papers), RNA Research and Splicing (2 papers), NF-κB Signaling Pathways (1 paper), Galectins and Cancer Biology (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (303 citations), Biotechnology (127 citations), Cellular and Molecular Neuroscience (241 citations), Immunology and Allergy (66 citations) and Oncology (276 citations). D A Withers has collaborated with scholars based in United States and Japan. Frequent co-authors include Cynthia A. Bayer, James W. Fristrom, Gregory M. Guild, Kate A. Carey, Richard C. Harvey, O.O. Melnyk, T C Meeker, John B. Faust, Sen‐itiroh Hakomori and Kazuko Handa. Their work appears in journals such as Molecular and Cellular Biology, Blood, Genetics, Glycobiology 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.