Brian Burkel
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 10%
Papers in
- Cell Biology 14
- Cellular Mechanics and Interactions 13
-
- 3D Printing in Biomedical Research 10
- Nanoplatforms for cancer theranostics 3
- Co-authors
- William M. Bement (3 shared papers)George von Dassow (2 shared papers)Jacob Notbohm (10 shared papers)Suzanne M. Ponik (15 shared papers)Kevin W. Eliceiri (6 shared papers)Nik Kovinich (2 shared papers)Marisa S. Otegui (3 shared papers)Alexandra Chanoca (3 shared papers)
- Journals
- Journal of Visualized Experiments (3 papers)Soft Matter (2 papers)Acta Biomaterialia (2 papers)Radiation Research (1 paper)Nature Physics (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Brian Burkel
28 papers receiving 989 citations
Peers
Comparison fields: 5 of 95
- Cell Biology 491
- Aging 30
- Biophysics 93
- Immunology and Allergy 47
- Molecular Biology 411
Countries citing papers authored by Brian Burkel
This map shows the geographic impact of Brian Burkel'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 Burkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Burkel more than expected).
Fields of papers citing papers by Brian Burkel
This network shows the impact of papers produced by Brian Burkel. 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 Burkel. The network helps show where Brian Burkel may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Burkel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 381 | |
| 2 | 2015 | 154 | |
| 3 | 2016 | 96 | |
| 4 | 2012 | 58 | |
| 5 | 2022 | 49 | |
| 6 | 2006 | 47 | |
| 7 | 2021 | 35 | |
| 8 | 2017 | 32 | |
| 9 | 2018 | 23 | |
| 10 | 2016 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2021 | 15 | |
| 13 | 2016 | 15 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 3 |
About Brian Burkel
Brian Burkel is a scholar working on Cell Biology, Biomedical Engineering, Molecular Biology, Oncology and Biomaterials, having authored 28 papers that have together received 995 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), 3D Printing in Biomedical Research (10 papers), Collagen: Extraction and Characterization (6 papers), Cancer Cells and Metastasis (4 papers), Plant Gene Expression Analysis (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cell Biology (491 citations), Aging (30 citations), Biophysics (93 citations), Immunology and Allergy (47 citations) and Molecular Biology (411 citations). Brian Burkel has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include William M. Bement, George von Dassow, Jacob Notbohm, Suzanne M. Ponik, Kevin W. Eliceiri, Nik Kovinich, Marisa S. Otegui, Alexandra Chanoca, Erich Grotewold and Emily M. Vaughan. Their work appears in journals such as Journal of Visualized Experiments, Soft Matter, Acta Biomaterialia, Radiation Research and Nature Physics.
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.