Benjamin T. Bikman
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Scott A. SummersWilliam L. HollandPhilipp E. SchererMarkus R. WenkGuanghou ShuiYuguang GuanMichael J. PagliassottiTrina A. Knotts
- Topics
- Adipose Tissue and Metabolism (22 papers)Diet and metabolism studies (21 papers)Sphingolipid Metabolism and Signaling (17 papers)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Benjamin T. Bikman
74 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.5k
- Physiology 1.3k
- Epidemiology 859
- Surgery 461
- Endocrinology, Diabetes and Metabolism 412
Countries citing papers authored by Benjamin T. Bikman
This map shows the geographic impact of Benjamin T. Bikman'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 Benjamin T. Bikman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. Bikman more than expected).
Fields of papers citing papers by Benjamin T. Bikman
This network shows the impact of papers produced by Benjamin T. Bikman. 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 Benjamin T. Bikman. The network helps show where Benjamin T. Bikman may publish in the future.
Co-authorship network of co-authors of Benjamin T. Bikman
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin T. Bikman. A scholar is included among the top collaborators of Benjamin T. Bikman 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 Benjamin T. Bikman. Benjamin T. Bikman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 33 | |
| 13 | 12 | |
| 14 | 55 | |
| 15 | 116 | |
| 16 | Lipid-induced insulin resistance mediated by the proinflammatory receptor TLR4 requires saturated fatty acid–induced ceramide biosynthesis in micebreakdown → | 558 |
| 17 | 41 | |
| 18 | Receptor-mediated activation of ceramidase activity initiates the pleiotropic actions of adiponectinbreakdown → | 730 |
| 19 | 8 | |
| 20 | 6 |
About Benjamin T. Bikman
Benjamin T. Bikman is a scholar working on Physiology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 3.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Diet and metabolism studies (21 papers) and Sphingolipid Metabolism and Signaling (17 papers). The work is most often cited by research in Physiology (1.3k citations), Endocrine and Autonomic Systems (220 citations) and Biochemistry (206 citations). Benjamin T. Bikman has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Scott A. Summers, William L. Holland, Philipp E. Scherer, Markus R. Wenk, Guanghou Shui, Yuguang Guan, Michael J. Pagliassotti, Trina A. Knotts, Liping Wang and Sarada Bulchand. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.
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.