Christopher Moulding
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
- Immunology top 10%
Papers in
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- Lymphoma Diagnosis and Treatment 5
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Jim Battey (5 shared papers)Philip Leder (5 shared papers)Gilbert Lenoir (4 shared papers)Rebecca Taub (4 shared papers)William S. Murphy (3 shared papers)Huntington Potter (2 shared papers)Timothy A. Stewart (2 shared papers)Thomas J. Vasicek (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Cell (2 papers)Nucleic Acids Research (1 paper)Science (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Christopher Moulding
9 papers receiving 1.6k citations
Christopher Moulding's Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 180
- Immunology 344
- Pathology and Forensic Medicine 276
- Molecular Biology 1.1k
- Hematology 159
Countries citing papers authored by Christopher Moulding
This map shows the geographic impact of Christopher Moulding'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 Christopher Moulding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Moulding more than expected).
Fields of papers citing papers by Christopher Moulding
This network shows the impact of papers produced by Christopher Moulding. 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 Christopher Moulding. The network helps show where Christopher Moulding may publish in the future.
Co-authors
The 14 scholars most cited alongside Christopher Moulding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The human c-myc oncogene: Structural consequences of translocation into the igh locus in Burkitt lymphoma Hit paper breakdown → | 1983 | 666 |
| 2 | Translocations Among Antibody Genes in Human Cancer Hit paper breakdown → | 1983 | 611 |
| 3 | 1984 | 300 | |
| 4 | 1981 | 48 | |
| 5 | 1980 | 32 | |
| 6 | 1985 | 15 | |
| 7 | 1981 | 9 | |
| 8 | 1984 | 5 | |
| 9 | 2017 | 2 |
About Christopher Moulding
Christopher Moulding is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Reproductive Medicine, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Sperm and Testicular Function (2 papers), Proteins in Food Systems (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Muscle metabolism and nutrition (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (180 citations), Immunology (344 citations), Pathology and Forensic Medicine (276 citations), Molecular Biology (1.1k citations) and Hematology (159 citations). Christopher Moulding has collaborated with scholars based in United States and France. Frequent co-authors include Jim Battey, Philip Leder, Gilbert Lenoir, Rebecca Taub, William S. Murphy, Huntington Potter, Timothy A. Stewart, Thomas J. Vasicek, Clarke F. Millette and Deborah A. O’Brien. Their work appears in journals such as Journal of Cell Science, Cell, Nucleic Acids Research, Science and Journal of Cellular Physiology.
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.