M A Raines
- Molecular Biology top 10%
- Immunology top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics
- Co-authors
- David W. GoldeRichard KolesnickHsing‐Jien KungL. B. CrittendenNita J. MaihleTimothy W. NilsenPatricia A. MaroneyRaymond G. Goodwin
- Topics
- Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (4 papers)Immune Cell Function and Interaction (3 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
M A Raines
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 749
- Immunology 395
- Oncology 290
- Radiology, Nuclear Medicine and Imaging 165
- Genetics 149
Countries citing papers authored by M A Raines
This map shows the geographic impact of M A Raines'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 M A Raines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M A Raines more than expected).
Fields of papers citing papers by M A Raines
This network shows the impact of papers produced by M A Raines. 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 M A Raines. The network helps show where M A Raines may publish in the future.
Co-authorship network of co-authors of M A Raines
This figure shows the co-authorship network connecting the top 25 collaborators of M A Raines. A scholar is included among the top collaborators of M A Raines 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 M A Raines. M A Raines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 18 | |
| 4 | 39 | |
| 5 | 56 | |
| 6 | 235 | |
| 7 | A complete description of the EGF-receptor exon structure: implication in oncogenic activation and domain evolution. | 33 |
| 8 | 26 | |
| 9 | 70 | |
| 10 | 88 | |
| 11 | 5' upstream sequence and genomic structure of the human primary response gene, EGR-1/TIS8. | 96 |
| 12 | Retroviral insertional mutagenesis: the making of a receptor-oncogene. | 2 |
| 13 | 11 | |
| 14 | 37 | |
| 15 | 45 | |
| 16 | 24 | |
| 17 | 56 | |
| 18 | 73 | |
| 19 | 180 | |
| 20 | 4 |
About M A Raines
M A Raines is a scholar working on Immunology, Parasitology and Cancer Research, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (395 citations), Molecular Biology (749 citations) and Oncology (290 citations). M A Raines has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David W. Golde, Richard Kolesnick, Hsing‐Jien Kung, L. B. Crittenden, Nita J. Maihle, Timothy W. Nilsen, Patricia A. Maroney, Raymond G. Goodwin, Hsing-Jien Kung and Fritz Rottman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.