Mike V. Van
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- RNA Research and Splicing
- Angiogenesis and VEGF in Cancer
- Epigenetics and DNA Methylation
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
-
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 3
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 2
- Photosynthetic Processes and Mechanisms 1
- Gene Regulatory Network Analysis 1
- Co-authors
- Lacramioara Bintu (3 shared papers)Aruna Poduri (1 shared paper)Brian C. Raftrey (1 shared paper)Siyeon Rhee (1 shared paper)Kristy Red‐Horse (1 shared paper)Andrew H. Chang (1 shared paper)Taihei Fujimori (1 shared paper)JoAnne Engebrecht (3 shared papers)
- Journals
- Genetics (3 papers)Nature Communications (1 paper)Current Opinion in Biomedical Engineering (1 paper)Nature Biotechnology (1 paper)Development (1 paper)
- Partner nations
- United States
In The Last Decade
Mike V. Van
8 papers receiving 280 citations
Peers
Comparison fields: 5 of 58
- Aging 29
- Molecular Biology 208
- Cell Biology 28
- Genetics 30
- Genetics 10
Countries citing papers authored by Mike V. Van
This map shows the geographic impact of Mike V. Van'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 Mike V. Van with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike V. Van more than expected).
Fields of papers citing papers by Mike V. Van
This network shows the impact of papers produced by Mike V. Van. 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 Mike V. Van. The network helps show where Mike V. Van may publish in the future.
Co-authors
The 23 scholars most cited alongside Mike V. Van, 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 | 2020 | 100 | |
| 2 | 2017 | 72 | |
| 3 | 2021 | 32 | |
| 4 | 2014 | 32 | |
| 5 | 2024 | 23 | |
| 6 | 2016 | 11 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 4 |
About Mike V. Van
Mike V. Van is a scholar working on Aging, Molecular Biology, Genetics, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 280 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), DNA Repair Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (208 citations), Cell Biology (28 citations), Genetics (30 citations) and Genetics (10 citations). Mike V. Van has collaborated with scholars based in United States. Frequent co-authors include Lacramioara Bintu, Aruna Poduri, Brian C. Raftrey, Siyeon Rhee, Kristy Red‐Horse, Andrew H. Chang, Taihei Fujimori, JoAnne Engebrecht, Josh Tycko and Kaitlyn K. Spees. Their work appears in journals such as Genetics, Nature Communications, Current Opinion in Biomedical Engineering, Nature Biotechnology and Development.
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.