Richard J. Bram

7.7k total citations · 3 hit papers
76 papers, 6.2k citations indexed

About

Richard J. Bram is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Richard J. Bram has authored 76 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 41 papers in Immunology and 13 papers in Genetics. Recurrent topics in Richard J. Bram's work include Signaling Pathways in Disease (29 papers), Immune Cell Function and Interaction (22 papers) and T-cell and B-cell Immunology (14 papers). Richard J. Bram is often cited by papers focused on Signaling Pathways in Disease (29 papers), Immune Cell Function and Interaction (22 papers) and T-cell and B-cell Immunology (14 papers). Richard J. Bram collaborates with scholars based in United States, United Kingdom and Singapore. Richard J. Bram's co-authors include Robert H. Crabtree, Roger D. Kornberg, W. Michael Flanagan, Blaise Corthésy, Jan M. van Deursen, Loren D. Erickson, W. James Cook, Vanitha S. Raman, Cory L. Ahonen and Brian P. O’Connor and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Richard J. Bram

74 papers receiving 6.1k citations

Hit Papers

Nuclear association of a T-cell transcription factor bloc... 1985 2026 1998 2012 1991 2004 1985 250 500 750

Peers

Richard J. Bram
Comparison fields: 5 of 112
  • Immunology 3.2k
  • Molecular Biology 2.7k
  • Oncology 899
  • Genetics 775
  • Cancer Research 520
Replace Richard J. Cornall with:
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Diane Hollenbaugh United States
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Hermann Eibel Germany
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Richard J. Cornall United Kingdom View profile →
Citations per field, relative to Richard J. Bram
Richard J. Bram · 1×
Citations per year, relative to Richard J. Bram
Richard J. Bram · 1×

Countries citing papers authored by Richard J. Bram

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Bram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard J. Bram

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Bram. A scholar is included among the top collaborators of Richard J. Bram 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 Richard J. Bram. Richard J. Bram 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
# Work Indexed citations
1 0
2 9
3 12
4 9
5 32
6 10
7 15
8 52
9 38
10
Deficient TACI expression on B lymphocytes of newborn mice leads to defective Ig secretion in response to BAFF or APRIL (Journal of Immunology (2008) 181, (976-990))
11
11 62
12 37
13 131
14 87
15 34
16 31
17
BCMA Is Essential for the Survival of Long-lived Bone Marrow Plasma Cells breakdown →
843
18 2
19 414
20 1

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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