J Erikson

2.3k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

J Erikson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, J Erikson has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in J Erikson's work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). J Erikson is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers) and Glycosylation and Glycoproteins Research (2 papers). J Erikson collaborates with scholars based in United States and Poland. J Erikson's co-authors include Robert C. Gallo, C M Croce, David Patterson, Marco Bregni, Riccardo Dalla‐Favera, Marko Radic, Martin Weigert, Sam Litwin, Sally A. Camper and C M Croce and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

J Erikson

9 papers receiving 1.7k citations

Hit Papers

Human c-myc onc gene is located on the region of chromoso... 1982 2026 1996 2011 1982 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Erikson United States 7 739 574 525 519 369 9 1.8k
T C Meeker United States 22 822 1.1× 986 1.7× 619 1.2× 820 1.6× 570 1.5× 29 2.3k
M. Schaadt Germany 19 449 0.6× 571 1.0× 809 1.5× 928 1.8× 340 0.9× 46 1.9k
Riccardo Dalla-Favera United States 8 642 0.9× 677 1.2× 687 1.3× 964 1.9× 673 1.8× 10 1.9k
H Griesser Germany 17 416 0.6× 514 0.9× 535 1.0× 899 1.7× 332 0.9× 33 1.6k
MD Minden Canada 21 628 0.8× 549 1.0× 504 1.0× 292 0.6× 338 0.9× 41 1.9k
Robert E. Sobol United States 20 645 0.9× 797 1.4× 535 1.0× 167 0.3× 197 0.5× 43 1.8k
J Finan United States 32 1.1k 1.5× 633 1.1× 772 1.5× 624 1.2× 849 2.3× 48 2.9k
Tony G. Willis United Kingdom 13 675 0.9× 526 0.9× 513 1.0× 890 1.7× 553 1.5× 17 1.8k
K Offit United States 8 558 0.8× 765 1.3× 492 0.9× 974 1.9× 362 1.0× 10 1.8k
Ajay Bakhshi United States 17 1.1k 1.5× 808 1.4× 1.2k 2.3× 1.2k 2.3× 1.2k 3.3× 22 3.3k

Countries citing papers authored by J Erikson

Since Specialization
Citations

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

Fields of papers citing papers by J Erikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Erikson. 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 J Erikson. The network helps show where J Erikson may publish in the future.

Co-authorship network of co-authors of J Erikson

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

All Works

9 of 9 papers shown
1.
Roark, Jessica H., et al.. (1995). B cell selection and allelic exclusion of an anti-DNA Ig transgene in MRL- lpr/lpr mice.. The Journal of Immunology. 154(9). 4444–4455. 38 indexed citations
2.
Ibrahim, Saleh, Martin Weigert, Chhandak Basu, J Erikson, & Marko Radic. (1995). Light chain contribution to specificity in anti-DNA antibodies. The Journal of Immunology. 155(6). 3223–3233. 98 indexed citations
3.
Radic, Marko, et al.. (1994). Deletion and editing of B cells that express antibodies to DNA.. The Journal of Immunology. 152(4). 1970–1982. 149 indexed citations
4.
Isobe, Masaharu, J Erikson, Ronald C. Peterson, et al.. (1985). Chromosome localization of the gene for human terminal deoxynucleotidyltransferase to region 10q23-q25.. Proceedings of the National Academy of Sciences. 82(17). 5836–5840. 39 indexed citations
5.
Nowell̀, Peter C., J Erikson, J Finan, B S Emanuel, & C M Croce. (1985). Chromosomal translocations, immunoglobulin genes, and oncogenes in human B-cell tumors.. PubMed. 184. 457–68. 1 indexed citations
6.
Nishikura, Kazuko, et al.. (1984). Repression of Rearranged μ Gene and Translocated c- myc in Mouse 3T3 Cells × Burkitt Lymphoma Cell Hybrids. Science. 224(4647). 399–402. 50 indexed citations
7.
Nowell, PC, et al.. (1984). Chromosome rearrangements in oncogenesis.. PubMed. 1(9). 223–8. 6 indexed citations
8.
Croce, C M, Yuji Tsujimoto, J Erikson, & Peter C. Nowell̀. (1984). Chromosome translocations and B cell neoplasia.. PubMed. 51(3). 258–67. 51 indexed citations
9.
Dalla‐Favera, Riccardo, Marco Bregni, J Erikson, et al.. (1982). Human c-myc onc gene is located on the region of chromosome 8 that is translocated in Burkitt lymphoma cells.. Proceedings of the National Academy of Sciences. 79(24). 7824–7827. 1350 indexed citations breakdown →

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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