Brian G. Van Ness

3.8k total citations
68 papers, 2.1k citations indexed

About

Brian G. Van Ness is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Brian G. Van Ness has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 28 papers in Hematology and 26 papers in Immunology. Recurrent topics in Brian G. Van Ness's work include Multiple Myeloma Research and Treatments (27 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and T-cell and B-cell Immunology (14 papers). Brian G. Van Ness is often cited by papers focused on Multiple Myeloma Research and Treatments (27 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and T-cell and B-cell Immunology (14 papers). Brian G. Van Ness collaborates with scholars based in United States, France and Poland. Brian G. Van Ness's co-authors include James B. Howard, James W. Bodley, Richard M. Feddersen, Robert P. Perry, Michael A. Linden, Siegfried Janz, Martin Weigert, Dawn E. Kelley, Christopher Coleclough and Elizabeth L. Mather and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Brian G. Van Ness

66 papers receiving 2.0k 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 G. Van Ness United States 24 1.2k 936 405 385 306 68 2.1k
Uwe Jacob Germany 24 1.3k 1.0× 590 0.6× 236 0.6× 181 0.5× 758 2.5× 29 2.0k
Joseph T.Y. Lau United States 34 2.1k 1.7× 1.2k 1.2× 218 0.5× 124 0.3× 334 1.1× 74 2.7k
A Aruffo United States 15 1.3k 1.1× 1.3k 1.4× 370 0.9× 116 0.3× 534 1.7× 18 2.6k
David F. Carmichael United States 16 1.4k 1.1× 409 0.4× 720 1.8× 189 0.5× 578 1.9× 23 2.4k
Jian Ren United States 26 2.0k 1.6× 578 0.6× 655 1.6× 108 0.3× 416 1.4× 33 2.5k
Marialuisa Sensi Italy 27 1.4k 1.1× 1.8k 1.9× 1.1k 2.8× 129 0.3× 186 0.6× 92 2.9k
Peter U. Park United States 15 737 0.6× 334 0.4× 687 1.7× 219 0.6× 504 1.6× 39 1.8k
Rachael E. Hawtin United States 18 1.3k 1.0× 320 0.3× 645 1.6× 170 0.4× 100 0.3× 53 2.0k
L M Neckers United States 16 940 0.8× 523 0.6× 672 1.7× 168 0.4× 138 0.5× 24 1.8k
Jasminder Weinstein United States 23 2.3k 1.8× 738 0.8× 270 0.7× 97 0.3× 358 1.2× 25 2.7k

Countries citing papers authored by Brian G. Van Ness

Since Specialization
Citations

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

Fields of papers citing papers by Brian G. Van Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian G. Van Ness. 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 G. Van Ness. The network helps show where Brian G. Van Ness may publish in the future.

Co-authorship network of co-authors of Brian G. Van Ness

This figure shows the co-authorship network connecting the top 25 collaborators of Brian G. Van Ness. A scholar is included among the top collaborators of Brian G. Van Ness 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 G. Van Ness. Brian G. Van Ness 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.
Baughn, Linda B., Erik Jessen, Neeraj Sharma, et al.. (2023). Mass Cytometry reveals unique phenotypic patterns associated with subclonal diversity and outcomes in multiple myeloma. Blood Cancer Journal. 13(1). 84–84. 4 indexed citations
2.
3.
Kumar, Harish, Neeraj Sharma, Mark D. Long, et al.. (2022). Single-Cell Proteomics and Tumor RNAseq Identify Novel Pathways Associated With Clofazimine Sensitivity in PI- and IMiD- Resistant Myeloma, and Putative Stem-Like Cells. Frontiers in Oncology. 12. 842200–842200. 8 indexed citations
4.
Mitra, Amit, Harish Kumar, Vijay Ramakrishnan, et al.. (2020). In vitro and ex vivo gene expression profiling reveals differential kinetic response of HSPs and UPR genes is associated with PI resistance in multiple myeloma. Blood Cancer Journal. 10(7). 78–78. 13 indexed citations
5.
Dytfeld, Dominik, Leticia Reyes, Reeder M. Robinson, et al.. (2017). Glutaminase inhibitor CB-839 synergizes with carfilzomib in resistant multiple myeloma cells. Oncotarget. 8(22). 35863–35876. 102 indexed citations
6.
Mitra, Amit, Holly A.F. Stessman, Robert Schaefer, et al.. (2016). Fine-Mapping of 18q21.1 Locus Identifies Single Nucleotide Polymorphisms Associated with Nonsyndromic Cleft Lip with or without Cleft Palate. Frontiers in Genetics. 7. 88–88. 5 indexed citations
7.
Stessman, Holly A.F., Sagar S. Patel, Zohar Sachs, et al.. (2014). Utilization of Translational Bioinformatics to Identify Novel Biomarkers of Bortezomib Resistance in Multiple Myeloma. Journal of Cancer. 5(9). 720–727. 15 indexed citations
8.
Stessman, Holly A.F., Linda B. Baughn, Aaron L. Sarver, et al.. (2013). Profiling Bortezomib Resistance Identifies Secondary Therapies in a Mouse Myeloma Model. Molecular Cancer Therapeutics. 12(6). 1140–1150. 62 indexed citations
9.
Linden, Michael A., Nicole Kirchhof, Cathy S. Carlson, & Brian G. Van Ness. (2011). Targeted overexpression of an activated N-ras gene results in B-cell and plasma cell lymphoproliferation and cooperates with c-myc to induce fatal B-cell neoplasia. Experimental Hematology. 40(3). 216–227. 3 indexed citations
10.
Loo, William, et al.. (2008). Deregulation of c-Myc Confers Distinct Survival Requirements for Memory B Cells, Plasma Cells, and Their Progenitors. The Journal of Immunology. 181(11). 7537–7549. 21 indexed citations
11.
12.
Cheung, Wan Cheung, Joong Su Kim, Michael A. Linden, et al.. (2004). Novel targeted deregulation of c-Myc cooperates with Bcl-XL to cause plasma cell neoplasms in mice. Journal of Clinical Investigation. 113(12). 1763–1773. 79 indexed citations
13.
Morgan, Kelly, et al.. (2002). Signaling after NF1 Gene Loss with GM-CSF Receptor Blockade and Gene Regulation with Neurofibromins GAP Related Domain in Myeloproliferative Disease. Blood. 100(11). 237. 1 indexed citations
14.
15.
O’Brien, Darin P., Eugene M. Oltz, & Brian G. Van Ness. (1997). Coordinate Transcription and V(D)J Recombination of the Kappa Immunoglobulin Light-Chain Locus: NF-κB-Dependent and -Independent Pathways of Activation. Molecular and Cellular Biology. 17(7). 3477–3487. 38 indexed citations
16.
Fulton, Regan & Brian G. Van Ness. (1994). Selective synergy of immunoglobulin enhancer elements in B-cell development: a characteristic of kappa light chain enhancers, but not heavy chain enhancers. Nucleic Acids Research. 22(20). 4216–4223. 24 indexed citations
17.
Feddersen, Rod M. & Brian G. Van Ness. (1990). Corrective Recombination of Mouse Immunoglobulin Kappa Alleles in Abelson Murine Leukemia Virus-Transformed Pre-B Cells. Molecular and Cellular Biology. 10(2). 569–576. 8 indexed citations
18.
Hromas, Robert, et al.. (1990). Identification of a second inducible DNA-protein interaction in the kappa immunoglobulin enhancer. Nucleic Acids Research. 18(4). 1037–1043. 32 indexed citations
19.
Mathur, Ambika, Brian G. Van Ness, & Richard G. Lynch. (1990). In vivo and in vitro regulation of IgE production in murine hybridomas.. The Journal of Immunology. 145(11). 3610–3617. 10 indexed citations
20.
Ness, Brian G. Van, Martin Weigert, Christopher Coleclough, et al.. (1981). Transcription of the unrearranged mouse Cκ locus: Sequence of the initiation region and comparison of activity with a rearranged Vκ-Cκ gene. Cell. 27(3). 593–602. 166 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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