Brian J. Rogerson

726 total citations
20 papers, 627 citations indexed

About

Brian J. Rogerson is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Brian J. Rogerson has authored 20 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Genetics. Recurrent topics in Brian J. Rogerson's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Brian J. Rogerson is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Brian J. Rogerson collaborates with scholars based in United States and United Kingdom. Brian J. Rogerson's co-authors include U Storb, R J North, Emily Klotz, Terence E. Martin, Hong Ming Shen, Andrew Peters, John Hackett, Lynn Ryan, Yu‐Jin Jung and Ronald LaCourse and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Infection and Immunity.

In The Last Decade

Brian J. Rogerson

20 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian J. Rogerson United States 12 339 282 138 107 106 20 627
Kathryn L. Armour United Kingdom 17 275 0.8× 307 1.1× 394 2.9× 97 0.9× 81 0.8× 30 810
Richard G. Keightley United States 6 307 0.9× 144 0.5× 131 0.9× 95 0.9× 35 0.3× 8 486
George Thyphronitis United States 15 579 1.7× 181 0.6× 133 1.0× 73 0.7× 46 0.4× 29 852
Till A. Röhn Switzerland 14 549 1.6× 271 1.0× 85 0.6× 90 0.8× 39 0.4× 20 860
Takaomi Sekino Japan 11 196 0.6× 234 0.8× 42 0.3× 37 0.3× 95 0.9× 16 550
Cécile Tétaud France 13 315 0.9× 214 0.8× 47 0.3× 52 0.5× 73 0.7× 15 662
Pernilla Lindahl France 9 526 1.6× 144 0.5× 92 0.7× 121 1.1× 61 0.6× 10 821
Douglas A. Dedera United States 12 142 0.4× 419 1.5× 28 0.2× 69 0.6× 136 1.3× 14 776
O Hallé-Pannenko France 16 511 1.5× 135 0.5× 68 0.5× 77 0.7× 29 0.3× 67 772
Rom T. Altstock Israel 8 165 0.5× 220 0.8× 86 0.6× 247 2.3× 58 0.5× 11 669

Countries citing papers authored by Brian J. Rogerson

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Rogerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Rogerson

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Rogerson. A scholar is included among the top collaborators of Brian J. Rogerson 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 Brian J. Rogerson. Brian J. Rogerson 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.
2.
Rogerson, Brian J.. (2003). Germinal center B cells in Peyer's patches of aged mice exhibit a normal activation phenotype and highly mutated IgM genes. Mechanisms of Ageing and Development. 124(2). 155–165. 9 indexed citations
3.
Rogerson, Brian J.. (2003). Effectiveness of a Daily Class Progress Assessment Technique in Introductory Chemistry. Journal of Chemical Education. 80(2). 160–160. 5 indexed citations
4.
Peters, Andrew, Emily Klotz, Hong Ming Shen, et al.. (1998). Cis‐acting sequences that affect somatic hypermutation of Ig genes. Immunological Reviews. 162(1). 153–160. 93 indexed citations
5.
Storb, U, Andrew Peters, Emily Klotz, et al.. (1998). Somatic Hypermutation of Immunoglobulin Genes is Linked to Transcription. Current topics in microbiology and immunology. 229. 11–19. 70 indexed citations
6.
Storb, Ursula, Andrew Peters, Emily Klotz, et al.. (1998). Immunoglobulin transgenes as targets for somatic hypermutation. The International Journal of Developmental Biology. 42(7). 977–982. 11 indexed citations
7.
Storb, Ursula, et al.. (1996). The mechanism of somatic hypermutation studied with transgenic and transfected target genes. Seminars in Immunology. 8(3). 131–140. 34 indexed citations
8.
Rogerson, Brian J., et al.. (1996). The Nramp1 antimicrobial resistance gene segregates independently of resistance to virulent Mycobacterium tuberculosis. Immunology. 88(4). 479–481. 43 indexed citations
9.
Rogerson, Brian J.. (1995). Somatic hypermutation of VHS107 genes is not associated with gene conversion among family members. International Immunology. 7(8). 1225–1235. 17 indexed citations
10.
Rogerson, Brian J.. (1994). Mapping the upstream boundary of somatic mutations in rearranged immunoglobulin transgenes and endogenous genes. Molecular Immunology. 31(2). 83–98. 64 indexed citations
11.
Havell, Edward A. & Brian J. Rogerson. (1993). Endotoxin-induced tumor necrosis factor alpha synthesis in murine embryo fibroblasts. Infection and Immunity. 61(5). 1630–1635. 11 indexed citations
12.
Hackett, John, Christopher Stebbins, Brian J. Rogerson, Mark M. Davis, & U Storb. (1992). Analysis of a T cell receptor gene as a target of the somatic hypermutation mechanism.. The Journal of Experimental Medicine. 176(1). 225–231. 30 indexed citations
13.
14.
Rogerson, Brian J., et al.. (1990). Analysis of somatic mutations in kappa transgenes.. The Journal of Experimental Medicine. 172(1). 131–137. 45 indexed citations
15.
Eagon, Patricia K., et al.. (1989). Androgen receptor in rat liver: Characterization and separation from a male-specific estrogen-binding protein. Archives of Biochemistry and Biophysics. 268(1). 161–175. 22 indexed citations
16.
Rogerson, Brian J. & Patricia K. Eagon. (1986). A male specific hepatic estrogen binding protein: Characteristics and binding properties. Archives of Biochemistry and Biophysics. 250(1). 70–85. 11 indexed citations
17.
Klein, Irwin, Denis C. Lehotay, Charles G. Watson, Brian J. Rogerson, & Gerald S. Levey. (1981). Human parathyroid adenoma adenylate cyclase: Stimulation by histamine that is blocked by cimetidine. Metabolism. 30(7). 635–637. 5 indexed citations
18.
Rogerson, Brian J., et al.. (1981). Failure of aclacinomycin and 7-con-O-methylnogarol (7-OMEN) to decrease cardiac guanylate cyclase activity.. PubMed. 64(10-11). 1127–8. 2 indexed citations
19.
Rogerson, Brian J., et al.. (1981). The Effect of in Vivo Doxorubicin (Adriamycin) and Aclacinomycin Administration on Guanylate Cyclase Activity in Rat Tissues. Experimental Biology and Medicine. 167(4). 459–462. 3 indexed citations
20.
Lehotay, Denis C., et al.. (1980). Activation of guanylate cyclase by α-toxins from krait and cobra venom. Toxicon. 18(2). 185–190. 11 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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