Brian Niland
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- Biomedical Research and Pathophysiology 7
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Immune Cell Function and Interaction 2
- Co-authors
- András Perl (12 shared papers)P Gergely (4 shared papers)David Fernández (3 shared papers)Katalin Bánki (9 shared papers)Paul E. M. Phillips (2 shared papers)Eduardo Bonilla (1 shared paper)Jeffrey Hewett (4 shared papers)Xandra O. Breakefield (4 shared papers)
- Journals
- The Journal of Immunology (3 papers)Biochemical Journal (2 papers)Pharmacoepidemiology and Drug Safety (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesNetherlandsHungary
In The Last Decade
Brian Niland
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Rheumatology 327
- Immunology 476
- Neurology 244
- Cellular and Molecular Neuroscience 265
- Cell Biology 145
Countries citing papers authored by Brian Niland
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
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-authors
The 25 scholars most cited alongside Brian Niland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 318 | |
| 2 | 2006 | 265 | |
| 3 | 2002 | 154 | |
| 4 | 2008 | 132 | |
| 5 | 2007 | 111 | |
| 6 | 2005 | 81 | |
| 7 | 2009 | 72 | |
| 8 | 2006 | 58 | |
| 9 | 2008 | 51 | |
| 10 | 2008 | 38 | |
| 11 | 2005 | 30 | |
| 12 | 2010 | 20 | |
| 13 | 2013 | 18 | |
| 14 | 2002 | 12 | |
| 15 | 2004 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2020 | 3 | |
| 18 | 2004 | 2 |
About Brian Niland
Brian Niland is a scholar working on Pathology and Forensic Medicine, Immunology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (7 papers), Genetic Neurodegenerative Diseases (4 papers), Neurological disorders and treatments (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Neonatal Health and Biochemistry (2 papers), Hereditary Neurological Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Rheumatology (327 citations), Immunology (476 citations), Neurology (244 citations), Cellular and Molecular Neuroscience (265 citations) and Cell Biology (145 citations). Brian Niland has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include András Perl, P Gergely, David Fernández, Katalin Bánki, Paul E. M. Phillips, Eduardo Bonilla, Jeffrey Hewett, Xandra O. Breakefield, Juan Zeng and Craig E. Grossman. Their work appears in journals such as The Journal of Immunology, Biochemical Journal, Pharmacoepidemiology and Drug Safety, Journal for ImmunoTherapy of Cancer and Journal of Cell Science.
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.