C B Freeman
- Immunology
- Oncology
- Pathology and Forensic Medicine
- Hematology top 10%
- Genetics top 10%
- Co-authors
- R HarrisC. G. GearyPhilip A. PizzoLigita NovikovsI. W. DelamoreIan MagrathJessica WalkerJ. E. MacIver
- Topics
- Acute Myeloid Leukemia Research (8 papers)Lymphoma Diagnosis and Treatment (4 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
C B Freeman
20 papers receiving 367 citations
Peers
Comparison fields: 5 of 56
- Immunology 151
- Oncology 146
- Pathology and Forensic Medicine 112
- Hematology 101
- Genetics 83
Countries citing papers authored by C B Freeman
This map shows the geographic impact of C B Freeman'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 C B Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C B Freeman more than expected).
Fields of papers citing papers by C B Freeman
This network shows the impact of papers produced by C B Freeman. 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 C B Freeman. The network helps show where C B Freeman may publish in the future.
Co-authorship network of co-authors of C B Freeman
This figure shows the co-authorship network connecting the top 25 collaborators of C B Freeman. A scholar is included among the top collaborators of C B Freeman 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 C B Freeman. C B Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | Use of fluoresceinated complement-coated bacteria and sheep erythrocyte-antibody-complement complexes for identification of complement receptors on lymphoid cell lines: differences in binding characteristics between cell lines of normal and malignant origin. | 6 |
| 4 | 9 | |
| 5 | 71 | |
| 6 | 67 | |
| 7 | 18 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | Cytotoxicity against human leukaemic cells. I. Demonstration of antibody-dependent lymphocyte killing of human allogeneic myeloblasts. | 31 |
| 17 | 12 | |
| 18 | 45 | |
| 19 | 29 | |
| 20 | 39 |
About C B Freeman
C B Freeman is a scholar working on Hematology, Immunology and Genetics, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (101 citations), Genetics (83 citations) and Immunology (151 citations). C B Freeman has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include R Harris, C. G. Geary, Philip A. Pizzo, Ligita Novikovs, I. W. Delamore, Ian Magrath, Jessica Walker, J. E. MacIver, Robert S. Harris and María L Santaella. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Gut and The American Journal of Cardiology.
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.