Barbara R. Williams
- Co-authors
- Jean E. SandersReginald A. CliftE. Donnall ThomasBrian SchofieldStephen B. DotyE W LamonKenneth S. BrownRoslyn W. Orkin
- Topics
- T-cell and B-cell Immunology (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)Collagen: Extraction and Characterization (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Barbara R. Williams
16 papers receiving 306 citations
Peers
Comparison fields: 5 of 88
- Oncology 127
- Molecular Biology 87
- Hematology 86
- Genetics 68
- Cell Biology 59
Countries citing papers authored by Barbara R. Williams
This map shows the geographic impact of Barbara R. 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 Barbara R. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara R. Williams more than expected).
Fields of papers citing papers by Barbara R. Williams
This network shows the impact of papers produced by Barbara R. 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 Barbara R. Williams. The network helps show where Barbara R. Williams may publish in the future.
Co-authorship network of co-authors of Barbara R. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara R. Williams. A scholar is included among the top collaborators of Barbara R. 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 Barbara R. Williams. Barbara R. 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 | 17 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | Immune adsorption of anti-A and anti-B antibodies. | 4 |
| 5 | 3 | |
| 6 | Murine T cells that lyse antibody-sensitized target cells. III. Contribution of Thy 1-Bearing cells to the lytic activity of normal spleen. | 2 |
| 7 | 12 | |
| 8 | 145 | |
| 9 | 11 | |
| 10 | Murine T cells that lyse antibody-sensitized target cells. I. Kinetics and dose-response studies of control and cortisone-resistant thymocytes. | 15 |
| 11 | 37 | |
| 12 | 66 | |
| 13 | St. Louis : a city and its suburbs : prepared for the National Science Foundation | 1 |
| 14 | St. Louis: A City and Its Suburbs | 3 |
| 15 | 3 | |
| 16 | 13 |
About Barbara R. Williams
Barbara R. Williams is a scholar working on Immunology and Allergy, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 352 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Collagen: Extraction and Characterization (2 papers). The work is most often cited by research in Hematology (86 citations), Immunology and Allergy (32 citations) and Oncology (127 citations). Barbara R. Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jean E. Sanders, Reginald A. Clift, E. Donnall Thomas, Brian Schofield, Stephen B. Doty, E W Lamon, Kenneth S. Brown, Roslyn W. Orkin, E W Fuson and Alan Kennedy. Their work appears in journals such as New England Journal of Medicine, The Journal of Cell Biology and The Journal of Immunology.
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.