Michael E. Bekier
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
- Cell Biology 11
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 4
- Endoplasmic Reticulum Stress and Disease 2
-
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 3
- Co-authors
- Yanzhuang Wang (6 shared papers)William R. Taylor (7 shared papers)Gunjan Joshi (1 shared paper)Xiaoyan Zhang (3 shared papers)Leibin Wang (2 shared papers)Jennifer Lee (1 shared paper)Erpan Ahat (2 shared papers)Danming Tang (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Molecular Cancer Therapeutics (1 paper)Frontiers in Neuroscience (1 paper)Journal of Molecular Biology (1 paper)Brain (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Michael E. Bekier
16 papers receiving 695 citations
Peers
Comparison fields: 5 of 75
- Cell Biology 349
- Physiology 31
- Molecular Biology 460
- Physiology 103
- Oncology 66
Countries citing papers authored by Michael E. Bekier
This map shows the geographic impact of Michael E. Bekier'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 Michael E. Bekier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Bekier more than expected).
Fields of papers citing papers by Michael E. Bekier
This network shows the impact of papers produced by Michael E. Bekier. 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 Michael E. Bekier. The network helps show where Michael E. Bekier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Bekier, 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 | 2015 | 93 | |
| 2 | 2017 | 86 | |
| 3 | 2018 | 70 | |
| 4 | 2009 | 68 | |
| 5 | 2023 | 60 | |
| 6 | 2011 | 58 | |
| 7 | 2015 | 54 | |
| 8 | 2019 | 51 | |
| 9 | 2013 | 46 | |
| 10 | 2016 | 38 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 27 | |
| 13 | 2012 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 |
About Michael E. Bekier
Michael E. Bekier is a scholar working on Cell Biology, Molecular Biology, Neurology, Physiology and Geometry and Topology, having authored 16 papers that have together received 697 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Cellular transport and secretion (4 papers), Ubiquitin and proteasome pathways (3 papers), Alzheimer's disease research and treatments (3 papers), Genomics and Chromatin Dynamics (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Graph theory and applications (2 papers). The work is most often cited by research in Cell Biology (349 citations), Physiology (31 citations), Molecular Biology (460 citations), Physiology (103 citations) and Oncology (66 citations). Michael E. Bekier has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Yanzhuang Wang, William R. Taylor, Gunjan Joshi, Xiaoyan Zhang, Leibin Wang, Jennifer Lee, Erpan Ahat, Danming Tang, Song‐Tao Liu and Jie Li. Their work appears in journals such as Molecular Biology of the Cell, Molecular Cancer Therapeutics, Frontiers in Neuroscience, Journal of Molecular Biology and Brain.
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.