Brian M. Barth
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Sphingolipid Metabolism and Signaling 20
- Lipid Membrane Structure and Behavior 11
- Retinoids in leukemia and cellular processes 3
-
- Calcium signaling and nucleotide metabolism 3
- Co-authors
- Mark Kester (19 shared papers)James M. Kaiser (7 shared papers)James H. Adair (5 shared papers)Erhan İ. Altınoğlu (4 shared papers)P. C. Eklund (1 shared paper)Timothy J. Russin (1 shared paper)Myles C. Cabot (7 shared papers)Scott A. Summers (1 shared paper)
- Journals
- ACS Nano (4 papers)Cancer Biology & Therapy (3 papers)Blood (3 papers)Phytotherapy Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Brian M. Barth
36 papers receiving 2.2k citations
Brian M. Barth's Hit Papers
Peers
Comparison fields: 5 of 109
- Biomaterials 228
- Physiology 402
- Molecular Biology 1.1k
- Epidemiology 461
- Endocrine and Autonomic Systems 83
Countries citing papers authored by Brian M. Barth
This map shows the geographic impact of Brian M. Barth'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 M. Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Barth more than expected).
Fields of papers citing papers by Brian M. Barth
This network shows the impact of papers produced by Brian M. Barth. 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 M. Barth. The network helps show where Brian M. Barth may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian M. Barth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Receptor-mediated activation of ceramidase activity initiates the pleiotropic actions of adiponectin Hit paper breakdown → | 2010 | 740 |
| 2 | 2008 | 371 | |
| 3 | 2020 | 162 | |
| 4 | 2011 | 159 | |
| 5 | 2010 | 114 | |
| 6 | 2010 | 68 | |
| 7 | 2011 | 67 | |
| 8 | 2011 | 57 | |
| 9 | 2009 | 52 | |
| 10 | 2011 | 48 | |
| 11 | 2010 | 45 | |
| 12 | 2011 | 44 | |
| 13 | 2013 | 43 | |
| 14 | 2014 | 31 | |
| 15 | 2014 | 30 | |
| 16 | 2013 | 29 | |
| 17 | 2013 | 26 | |
| 18 | 2010 | 25 | |
| 19 | 2015 | 24 | |
| 20 | 2016 | 23 |
About Brian M. Barth
Brian M. Barth is a scholar working on Molecular Biology, Physiology, Hematology, Neurology and Immunology, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (20 papers), Lipid Membrane Structure and Behavior (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Acute Myeloid Leukemia Research (4 papers), Nanoplatforms for cancer theranostics (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Biomaterials (228 citations), Physiology (402 citations), Molecular Biology (1.1k citations), Epidemiology (461 citations) and Endocrine and Autonomic Systems (83 citations). Brian M. Barth has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Mark Kester, James M. Kaiser, James H. Adair, Erhan İ. Altınoğlu, P. C. Eklund, Timothy J. Russin, Myles C. Cabot, Scott A. Summers, Joseph T. Brozinick and Nils Halberg. Their work appears in journals such as ACS Nano, Cancer Biology & Therapy, Blood, Phytotherapy Research and Journal of Biological Chemistry.
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.