D A Withers

1.3k total citations
9 papers, 1.1k citations indexed

About

D A Withers is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, D A Withers has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biotechnology and 3 papers in Immunology. Recurrent topics in D A Withers's work include Glycosylation and Glycoproteins Research (5 papers), Transgenic Plants and Applications (2 papers) and RNA Research and Splicing (2 papers). D A Withers is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Transgenic Plants and Applications (2 papers) and RNA Research and Splicing (2 papers). D A Withers collaborates with scholars based in United States and Japan. D A Withers's co-authors include Gregory M. Guild, Cynthia A. Bayer, James W. Fristrom, Richard C. Harvey, Kate A. Carey, O.O. Melnyk, John B. Faust, T C Meeker, Sen‐itiroh Hakomori and Kazuko Handa and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Genetics.

In The Last Decade

D A Withers

9 papers receiving 1.1k citations

Peers

D A Withers
Comparison fields: 5 of 71
  • Molecular Biology 627
  • Immunology 307
  • Oncology 290
  • Cellular and Molecular Neuroscience 242
  • Cell Biology 147
Pasquale Delli Bovi United States
Thuy‐Ai Nguyen United States
Gernot Maier Germany
Kyuhyung Han South Korea
Karen S. Gustafson United States
Daniel Maier Switzerland
Toyohide Shinkawa Japan
Justin V. Joseph Netherlands
John Ludes-Meyers United States
Ken N. Wills United States
Pasquale Delli Bovi United States View profile →
Citations per field, relative to D A Withers
D A Withers · 1×
Citations per year, relative to D A Withers
D A Withers · 1×

Countries citing papers authored by D A Withers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D A Withers

This figure shows the co-authorship network connecting the top 25 collaborators of D A Withers. A scholar is included among the top collaborators of D A Withers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D A Withers. D A Withers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 77
2
Motility inhibition and apoptosis are induced by metastasis-suppressing gene product CD82 and its analogue CD9, with concurrent glycosylation.
127
3
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.
50
4 28
5 377
6 291
7
Cloning of the t(11;14)(q13;q32) translocation breakpoints from two human leukemia cell lines.
31
8 68
9 53

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.

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