Edward J. Ball
- Immunology top 5%
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Hematology top 5%
- Molecular Biology
- Co-authors
- Peter ŠťastnýMuhammad Asim KhanGabriel NúñezJohn D. ReveilleMary F. LipscombJonathan C. WeisslerC. Rick LyonsJ D Capra
- Topics
- T-cell and B-cell Immunology (30 papers)Immune Cell Function and Interaction (29 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)
- Cited by
- ImmunologyRheumatologyHematology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Edward J. Ball
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Immunology 844
- Rheumatology 287
- Radiology, Nuclear Medicine and Imaging 222
- Hematology 173
- Molecular Biology 125
Countries citing papers authored by Edward J. Ball
This map shows the geographic impact of Edward J. Ball'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 Edward J. Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Ball more than expected).
Fields of papers citing papers by Edward J. Ball
This network shows the impact of papers produced by Edward J. Ball. 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 Edward J. Ball. The network helps show where Edward J. Ball may publish in the future.
Co-authorship network of co-authors of Edward J. Ball
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Ball. A scholar is included among the top collaborators of Edward J. Ball 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 Edward J. Ball. Edward J. Ball is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 15 | |
| 3 | 35 | |
| 4 | 80 | |
| 5 | 28 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 39 | |
| 10 | 105 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 53 | |
| 16 | 15 | |
| 17 | Inhibition of antigen-specific T-cell lines by monoclonal antibodies | 1 |
| 18 | Survey of workshop monoclonal antibodies by inhibition of fluorescein-labelled reference monoclonal reagents, double labelling studies on monocytes and inhibition of T cell recognition of class II antigens | 3 |
| 19 | 19 | |
| 20 | 9 |
About Edward J. Ball
Edward J. Ball is a scholar working on Immunology, Hematology and Transplantation, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (29 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Immunology (844 citations), Rheumatology (287 citations) and Hematology (173 citations). Edward J. Ball has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter Šťastný, Muhammad Asim Khan, Gabriel Núñez, John D. Reveille, Mary F. Lipscomb, Jonathan C. Weissler, C. Rick Lyons, J D Capra, Galen B. Toews and Theodore Pincus. Their work appears in journals such as Blood, The Journal of Immunology and Annals of the New York Academy of Sciences.
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.