R Brew

680 citations
16 papers · 579 indexed · h-index 10

R Brew

16 papers receiving 564 citations

Peers

R Brew
Comparison fields: 5 of 65
  • Immunology 303
  • Oncology 224
  • Biotechnology 44
  • Reproductive Medicine 40
  • Genetics 123
Replace Lisa P. Seung with:
Lisa P. Seung United States
S S Yu South Korea
Bo Luan United States
K Cochran United States
Cristian Matteucci Italy
C. O. Povlsen Denmark
Ferdynand Kos United States
Jun Diao Canada
Martina Comiskey United States
Yunping Lu China
R Brew relative to Lisa P. Seung United States Lisa P. Seung's profile →
Citations per field
00.5×3.5×
Lisa P. Seung · 1×
Citations per year

Countries citing papers authored by R Brew

Since Specialization
Citations

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

Fields of papers citing papers by R Brew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside R Brew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R Brew Line = papers co-authored together R Brew links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2000174
2
The cellular basis of immune induction at mucosal surfaces by DNA vaccination.
20005
3
Recent developments in mucosal delivery of pDNA vaccines.
20009
4 199724
5 199638
6
Prodrug-activated gene therapy: involvement of an immunological component in the "bystander effect".
1996127
7 199632
8 19959
9 199526
10 199493
11
The relationship between calcium antagonist therapy and growth of T lymphocytes from human renal allograft biopsies.
19931
12
T-cell receptor heterogeneity of gamma delta T-cell clones from human female reproductive tissues.
199331
13
Analysis of T-cell receptor V beta gene usage in T cells infiltrating human renal allografts.
19935
14 19922
15 19921
16
Human T cells expressing V beta 8 do not predominantly recognize DR2 alloantigen.
19922

About R Brew

R Brew is a scholar working on Transplantation, Immunology and Allergy and Immunology, having authored 16 papers that have together received 579 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Glycosylation and Glycoproteins Research (3 papers), Reproductive System and Pregnancy (3 papers), CAR-T cell therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Cell Adhesion Molecules Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (303 citations), Oncology (224 citations) and Biotechnology (44 citations). R Brew has collaborated with scholars based in United Kingdom. Frequent co-authors include S E Christmas, Anne R. Kinsella, Stephen E. Christmas, David C. West, Günnur Deniz, John Slavin, Peter Johnson, David Klatzmann, Graeme J. Poston and Singh Gagandeep. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, Blood, Transplant International and European Journal of Cancer.

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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