Brian Niland

1.8k total citations
18 papers, 1.4k citations indexed

About

Brian Niland is a scholar working on Pathology and Forensic Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Brian Niland has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Brian Niland's work include Biomedical Research and Pathophysiology (7 papers), Genetic Neurodegenerative Diseases (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Brian Niland is often cited by papers focused on Biomedical Research and Pathophysiology (7 papers), Genetic Neurodegenerative Diseases (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Brian Niland collaborates with scholars based in United States, Netherlands and Türkiye. Brian Niland's co-authors include András Perl, P Gergely, David Fernández, Paul E. M. Phillips, Katalin Bánki, Eduardo Bonilla, Xandra O. Breakefield, Jeffrey Hewett, Juan Zeng and Craig E. Grossman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Brian Niland

18 papers receiving 1.4k 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 Niland United States 13 531 467 368 283 250 18 1.4k
Ruben Papoian United States 18 538 1.0× 447 1.0× 318 0.9× 78 0.3× 41 0.2× 35 1.4k
Takako Ohsawa Japan 14 117 0.2× 444 1.0× 163 0.4× 189 0.7× 207 0.8× 34 1.1k
Lauri Miller United States 12 273 0.5× 998 2.1× 99 0.3× 78 0.3× 111 0.4× 16 2.1k
Margaret E. Martin United States 8 287 0.5× 529 1.1× 77 0.2× 299 1.1× 150 0.6× 10 1.1k
Helen Travers United Kingdom 11 145 0.3× 448 1.0× 154 0.4× 333 1.2× 254 1.0× 16 905
Jinmin Miao United States 13 110 0.2× 578 1.2× 307 0.8× 136 0.5× 151 0.6× 22 1.1k
Rafael B. Blasco Spain 15 208 0.4× 534 1.1× 74 0.2× 72 0.3× 99 0.4× 29 1.1k
Toru Wakioka Japan 10 449 0.8× 820 1.8× 96 0.3× 69 0.2× 50 0.2× 12 1.5k
Rachel A. Altura United States 25 270 0.5× 1.3k 2.8× 61 0.2× 93 0.3× 104 0.4× 48 1.9k
C. M. Petersen Denmark 17 199 0.4× 667 1.4× 95 0.3× 133 0.5× 26 0.1× 22 1.6k

Countries citing papers authored by Brian Niland

Since Specialization
Citations

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

Fields of papers citing papers by Brian Niland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Niland

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

All Works

18 of 18 papers shown
1.
Forshee, Richard A., David A. Keire, Sau Lee, et al.. (2020). Assessment of risk of variant creutzfeldt‐Jakob disease (vCJD) from use of bovine heparin. Pharmacoepidemiology and Drug Safety. 29(5). 575–581. 3 indexed citations
2.
Oaks, Zachary, John R. Jimah, Ryan L. Kelly, et al.. (2019). Transaldolase haploinsufficiency in subjects with acetaminophen‐induced liver failure. Journal of Inherited Metabolic Disease. 43(3). 496–506. 9 indexed citations
3.
Bross, Peter, Ke Liu, Marc R. Theoret, et al.. (2013). Regulation of immunotherapeutic products for cancer and FDA’s role in product development and clinical evaluation. Journal for ImmunoTherapy of Cancer. 1(1). 5–5. 17 indexed citations
4.
Niland, Brian, Gabriella Miklóssy, Katalin Bánki, et al.. (2010). Cleavage of Transaldolase by Granzyme B Causes the Loss of Enzymatic Activity with Retention of Antigenicity for Multiple Sclerosis Patients. The Journal of Immunology. 184(7). 4025–4032. 20 indexed citations
5.
Hanczko, Robert, David Fernández, Edward Doherty, et al.. (2009). Prevention of hepatocarcinogenesis and increased susceptibility to acetaminophen-induced liver failure in transaldolase-deficient mice by N-acetylcysteine. Journal of Clinical Investigation. 119(6). 1546–1557. 71 indexed citations
6.
Hewett, Jeffrey, Brian Niland, Pei Ge, et al.. (2008). siRNA knock-down of mutant torsinA restores processing through secretory pathway in DYT1 dystonia cells. Human Molecular Genetics. 17(10). 1436–1445. 51 indexed citations
7.
Qian, Yueming, S. K. Banerjee, Craig E. Grossman, et al.. (2008). Transaldolase deficiency influences the pentose phosphate pathway, mitochondrial homoeostasis and apoptosis signal processing. Biochemical Journal. 415(1). 123–134. 37 indexed citations
8.
Nery, Flávia C., Juan Zeng, Brian Niland, et al.. (2008). TorsinA binds the KASH domain of nesprins and participates in linkage between nuclear envelope and cytoskeleton. Journal of Cell Science. 121(20). 3476–3486. 132 indexed citations
9.
Hewett, Jeffrey, Bakhos A. Tannous, Brian Niland, et al.. (2007). Mutant torsinA interferes with protein processing through the secretory pathway in DYT1 dystonia cells. Proceedings of the National Academy of Sciences. 104(17). 7271–7276. 111 indexed citations
10.
Nagy, György, Jeffrey P. Ward, Dick D. Mosser, et al.. (2006). Regulation of CD4 Expression via Recycling by HRES-1/RAB4 Controls Susceptibility to HIV Infection. Journal of Biological Chemistry. 281(45). 34574–34591. 57 indexed citations
11.
Fernández, David, et al.. (2006). Rapamycin reduces disease activity and normalizes T cell activation–induced calcium fluxing in patients with systemic lupus erythematosus. Arthritis & Rheumatism. 54(9). 2983–2988. 264 indexed citations
12.
Niland, Brian, Katalin Bánki, William E. Biddison, & András Perl. (2005). CD8+ T Cell-Mediated HLA-A*0201-Restricted Cytotoxicity to Transaldolase Peptide 168–176 in Patients with Multiple Sclerosis. The Journal of Immunology. 175(12). 8365–8378. 29 indexed citations
13.
Hewett, Jeffrey, Juan Zeng, Brian Niland, D. Cristopher Bragg, & Xandra O. Breakefield. (2005). Dystonia-causing mutant torsinA inhibits cell adhesion and neurite extension through interference with cytoskeletal dynamics. Neurobiology of Disease. 22(1). 98–111. 81 indexed citations
14.
Niland, Brian & András Perl. (2004). Evaluation of Autoimmunity to Transaldolase in Multiple Sclerosis. Autoimmunity. 102. 155–172. 2 indexed citations
15.
Grossman, Craig E., Brian Niland, Nanda M. Verhoeven, et al.. (2004). Deletion of Ser-171 causes inactivation, proteasome-mediated degradation and complete deficiency of human transaldolase. Biochemical Journal. 382(2). 725–731. 11 indexed citations
16.
Gergely, P, Craig E. Grossman, Brian Niland, et al.. (2002). Mitochondrial hyperpolarization and ATP depletion in patients with systemic lupus erythematosus. Arthritis & Rheumatism. 46(1). 175–190. 316 indexed citations
17.
Puskás, Ferenc, P Gergely, Brian Niland, Katalin Bánki, & András Perl. (2002). Differential Regulation of Hydrogen Peroxide and Fas-Dependent Apoptosis Pathways by Dehydroascorbate, the Oxidized Form of Vitamin C. Antioxidants and Redox Signaling. 4(3). 357–369. 12 indexed citations
18.

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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