Christine Williams
- Molecular Biology top 10%
- Immunology top 10%
- Oncology top 10%
- Genetics
- Cancer Research
- Co-authors
- Katia GeorgopoulosCynthia J. GuidosJayne S. DanskaTaku NaitoIldiko GrandalManley HuangGisele KnowlesPablo Gómez‐del Arco
- Topics
- DNA Repair Mechanisms (3 papers)Epigenetics and DNA Methylation (3 papers)Immune Cell Function and Interaction (3 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Journals
- ScienceGenes & DevelopmentImmunity
- Partner nations
- United StatesCanada
In The Last Decade
Christine Williams
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 772
- Immunology 302
- Oncology 265
- Genetics 134
- Cancer Research 113
Countries citing papers authored by Christine Williams
This map shows the geographic impact of Christine 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 Christine Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Williams more than expected).
Fields of papers citing papers by Christine Williams
This network shows the impact of papers produced by Christine 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 Christine Williams. The network helps show where Christine Williams may publish in the future.
Co-authorship network of co-authors of Christine Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Williams. A scholar is included among the top collaborators of Christine Williams 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 Christine Williams. Christine Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 21 | |
| 4 | 146 | |
| 5 | 67 | |
| 6 | 134 | |
| 7 | 50 | |
| 8 | 207 | |
| 9 | 65 | |
| 10 | 19 | |
| 11 | 234 | |
| 12 | 99 | |
| 13 | Human milk fat globule membrane glycoproteins express blood group-related determinants primarily on mucin-like epithelial membrane antigens and gp70. | 4 |
| 14 | Breast tumor radioimmunodetection with a 111In-labeled monoclonal antibody (MA5) against a mucin-like antigen. | 14 |
| 15 | 27 | |
| 16 | 3 |
About Christine Williams
Christine Williams is a scholar working on Immunology, Hematology and Immunology and Allergy, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (302 citations), Molecular Biology (772 citations) and Oncology (265 citations). Christine Williams has collaborated with scholars based in United States and Canada. Frequent co-authors include Katia Georgopoulos, Cynthia J. Guidos, Jayne S. Danska, Taku Naito, Ildiko Grandal, Manley Huang, Gisele Knowles, Pablo Gómez‐del Arco, Xiaoqing Qi and Taiping Chen. Their work appears in journals such as Science, Genes & Development and Immunity.
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.