R G Mage

1.2k total citations
45 papers, 1.0k citations indexed

About

R G Mage is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, R G Mage has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Immunology. Recurrent topics in R G Mage's work include Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and T-cell and B-cell Immunology (10 papers). R G Mage is often cited by papers focused on Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and T-cell and B-cell Immunology (10 papers). R G Mage collaborates with scholars based in United States, Italy and Canada. R G Mage's co-authors include Richard Pospíšil, Kenneth E. Bernstein, Glendowlyn O. Young‐Cooper, R. Reisfeld, J. Rejnek, S. Dubiski, Nancy McCartney‐Francis, Edmundo Lamoyi, Ettore Appella and P D Weinstein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

R G Mage

45 papers receiving 951 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R G Mage United States 22 560 525 430 117 77 45 1.0k
J S Tung United States 17 497 0.9× 489 0.9× 319 0.7× 179 1.5× 31 0.4× 29 1.1k
Dietrich Götze United States 16 589 1.1× 241 0.5× 254 0.6× 82 0.7× 74 1.0× 49 922
A. S. Kelus United Kingdom 21 651 1.2× 675 1.3× 529 1.2× 222 1.9× 69 0.9× 48 1.5k
W Roeder United States 13 966 1.7× 829 1.6× 613 1.4× 198 1.7× 93 1.2× 14 1.8k
Jean-Claude Weill France 11 664 1.2× 281 0.5× 245 0.6× 81 0.7× 48 0.6× 12 924
Donna G. Sieckmann United States 16 639 1.1× 231 0.4× 357 0.8× 74 0.6× 44 0.6× 32 932
Jack H. Stimpfling United States 13 690 1.2× 268 0.5× 196 0.5× 149 1.3× 22 0.3× 26 1.0k
E Pillemer United States 16 520 0.9× 243 0.5× 265 0.6× 88 0.8× 71 0.9× 21 877
Jacques Roland France 13 828 1.5× 328 0.6× 294 0.7× 91 0.8× 45 0.6× 34 1.2k
M C Nussenzweig United States 9 1.7k 3.0× 419 0.8× 358 0.8× 84 0.7× 88 1.1× 10 1.9k

Countries citing papers authored by R G Mage

Since Specialization
Citations

This map shows the geographic impact of R G Mage'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 R G Mage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R G Mage more than expected).

Fields of papers citing papers by R G Mage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R G Mage. 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 R G Mage. The network helps show where R G Mage may publish in the future.

Co-authorship network of co-authors of R G Mage

This figure shows the co-authorship network connecting the top 25 collaborators of R G Mage. A scholar is included among the top collaborators of R G Mage 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 R G Mage. R G Mage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mage, R G & Richard Pospíšil. (2000). CD5 and Other Superantigens May Select and Maintain Rabbit Self-renewing B-lymphocytes and Human B-CLL Cells. Current topics in microbiology and immunology. 252. 87–96. 5 indexed citations
2.
Sehgal, Devinder, G. R. A. Johnson, Tai Te Wu, & R G Mage. (1999). Generation of the primary antibody repertoire in rabbits: expression of a diverse set of Igk-V genes may compensate for limited combinatorial diversity at the heavy chain locus. Immunogenetics. 50(1-2). 31–42. 33 indexed citations
3.
Schiaffella, Enrico, Patrizia Fuschiotti, Steven J. Bensinger, & R G Mage. (1998). High RAD51 mRNA levels in young rabbit appendix. A role in B-cell gene conversion?. Immunogenetics. 48(2). 108–115. 2 indexed citations
4.
Pospíšil, Richard & R G Mage. (1998). Rabbit Appendix: A Site of Development and Selection of the B Cell Repertoire. Current topics in microbiology and immunology. 229. 59–70. 34 indexed citations
5.
Fuschiotti, Patrizia, et al.. (1997). RAG1 and RAG2 in developing rabbit appendix subpopulations. The Journal of Immunology. 158(1). 55–64. 9 indexed citations
6.
Mage, R G, et al.. (1995). Characterization of a rabbit germ-line VH gene that is a candidate donor for VH gene conversion in mutant Alicia rabbits.. The Journal of Immunology. 154(12). 6365–6371. 9 indexed citations
7.
Weinstein, P D, R G Mage, & Arthur O. Anderson. (1994). The Appendix Functions as a Mammalian Bursal Equivalent in the Developing Rabbit. Advances in experimental medicine and biology. 355. 249–253. 37 indexed citations
8.
9.
Newman, Barbara A., Glendowlyn O. Young‐Cooper, Robert S. Becker, et al.. (1991). Molecular analysis of recombination sites within the immunoglobulin heavy chain locus of the rabbit. Immunogenetics. 34(2). 101–9. 6 indexed citations
10.
Harindranath, Nagaradona, et al.. (1991). Identification of enhancer sequences 3’ of the rabbit Ig kappa L chain loci. The Journal of Immunology. 146(12). 4377–4384. 13 indexed citations
11.
12.
Mage, R G, Nancy McCartney‐Francis, Masanori KOMATSU, & Edmundo Lamoyi. (1987). Evolution of genes for allelic and isotypic forms of immunoglobulin kappa chains and of the genes for T-cell receptor beta chains in rabbits. Journal of Molecular Evolution. 25(4). 292–299. 8 indexed citations
13.
Lamoyi, Edmundo & R G Mage. (1985). Lack of K1b9 light chains in Basilea rabbits is probably due to a mutation in an acceptor site for mRNA splicing.. The Journal of Experimental Medicine. 162(4). 1149–1160. 19 indexed citations
14.
Bernstein, Kenneth E., et al.. (1985). Germline VH genes in an a3 rabbit not typical of any one VHa allotype.. The Journal of Immunology. 134(5). 3480–3488. 22 indexed citations
15.
Bernstein, Kenneth E., Edmundo Lamoyi, Nancy McCartney‐Francis, & R G Mage. (1984). Sequence of a cDNA encoding Basilea kappa light chains (K2 isotype) suggests a possible relationship of protein structure to limited expression.. The Journal of Experimental Medicine. 159(2). 635–640. 21 indexed citations
16.
Simons, Margaret A., et al.. (1982). Expression of kappa chain allotypes at the cell surface and in serum immunoglobulins of normal and allotype-suppressed heterozygous rabbits.. PubMed. 46(3). 661–9. 3 indexed citations
17.
Krawinkel, Ulrich, Matthias Cramer, R G Mage, A. S. Kelus, & Klaus Rajewsky. (1977). Isolated hapten-binding receptors of sensitized lymphocytes. II. Receptors from nylon wool-enriched rabbit T lymphocytes lack serological determinants of immunoglobulin constant domains but carry the A locus allotypic markers.. The Journal of Experimental Medicine. 146(3). 792–801. 38 indexed citations
18.
Mage, R G, et al.. (1977). Rabbit Immunoglobulin Allotypes: Complexities of Their Genetics, Expression, Structural Basis, and Evolution. Cold Spring Harbor Symposia on Quantitative Biology. 41(0). 677–686. 11 indexed citations
19.
20.
Mage, R G. (1967). Quantitative Studies on the Regulation of Expression of Genes for Immunoglobulin Allotypes in Heterozygous Rabbits. Cold Spring Harbor Symposia on Quantitative Biology. 32(0). 203–210. 35 indexed citations

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.

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