C M Black
- Epidemiology top 5%
- Microbiology top 1%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- Charles B. ReimerAndré J. NahmiasSteven L. ShoreD. J. PhillipsThomas W. WellsF. Michael MelewiczP. A. EaleyM Yateman
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Blood groups and transfusion (7 papers)Glycosylation and Glycoproteins Research (6 papers)
- Cited by
- MicrobiologyVirologyImmunology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
C M Black
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Epidemiology 522
- Microbiology 429
- Immunology 363
- Radiology, Nuclear Medicine and Imaging 262
- Molecular Biology 165
Countries citing papers authored by C M Black
This map shows the geographic impact of C M Black'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 M Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C M Black more than expected).
Fields of papers citing papers by C M Black
This network shows the impact of papers produced by C M Black. 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 M Black. The network helps show where C M Black may publish in the future.
Co-authorship network of co-authors of C M Black
This figure shows the co-authorship network connecting the top 25 collaborators of C M Black. A scholar is included among the top collaborators of C M Black 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 M Black. C M Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 25 | |
| 3 | Characterization of antinucleolar antibody reactivity in patients with systemic sclerosis and their relatives. | 26 |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 41 | |
| 12 | Human markers for IgG2 and IgG4 appear to be on the same molecule in the chimpanzee. | 8 |
| 13 | 110 | |
| 14 | 17 | |
| 15 | 67 | |
| 16 | 24 | |
| 17 | 43 | |
| 18 | 20 | |
| 19 | 7 | |
| 20 | Analysis of mononuclear cell surfaces with fluoresceinated staphylococcal protein A complexed with IgG antibody of heat-aggregated gamma-globulin. | 20 |
About C M Black
C M Black is a scholar working on Microbiology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Blood groups and transfusion (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Microbiology (429 citations), Virology (117 citations) and Immunology (363 citations). C M Black has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Charles B. Reimer, André J. Nahmias, Steven L. Shore, D. J. Phillips, Thomas W. Wells, F. Michael Melewicz, P. A. Ealey, M Yateman, N. J. Marshall and A P Weetman. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Clinical Microbiology Reviews.
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.