Benjamin C. Campbell
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 2
- bioluminescence and chemiluminescence research 1
-
- Advanced Fluorescence Microscopy Techniques 3
- Cell Image Analysis Techniques 1
- Co-authors
- Fred H. Gage (2 shared papers)J. Tiago Gonçalves (1 shared paper)Emily M. Hatch (1 shared paper)Jérôme Mertens (1 shared paper)Apuã C.M. Paquola (1 shared paper)Martin W. Hetzer (1 shared paper)Joseph R. Herdy (1 shared paper)Jürgen Winkler (1 shared paper)
- Journals
- Nature Methods (1 paper)Cell stem cell (1 paper)Structure (1 paper)Current Protocols in Stem Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Benjamin C. Campbell
6 papers receiving 697 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Aging 54
- Developmental Neuroscience 94
- Biophysics 55
- Cellular and Molecular Neuroscience 156
- Structural Biology 12
Countries citing papers authored by Benjamin C. Campbell
This map shows the geographic impact of Benjamin C. Campbell'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 C. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin C. Campbell more than expected).
Fields of papers citing papers by Benjamin C. Campbell
This network shows the impact of papers produced by Benjamin C. Campbell. 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 C. Campbell. The network helps show where Benjamin C. Campbell may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin C. Campbell, 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 | Directly Reprogrammed Human Neurons Retain Aging-Associated Transcriptomic Signatures and Reveal Age-Related Nucleocytoplasmic Defects Hit paper breakdown → | 2015 | 517 |
| 2 | 2020 | 93 | |
| 3 | 2022 | 33 | |
| 4 | 2012 | 31 | |
| 5 | 2018 | 13 | |
| 6 | 2022 | 13 |
About Benjamin C. Campbell
Benjamin C. Campbell is a scholar working on Molecular Biology, Biophysics, Structural Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (3 papers), Pluripotent Stem Cells Research (2 papers), Cell Image Analysis Techniques (1 paper), Neuroscience of respiration and sleep (1 paper), Spinal Cord Injury Research (1 paper), Spinal Dysraphism and Malformations (1 paper), bioluminescence and chemiluminescence research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Aging (54 citations), Developmental Neuroscience (94 citations), Biophysics (55 citations), Cellular and Molecular Neuroscience (156 citations) and Structural Biology (12 citations). Benjamin C. Campbell has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Fred H. Gage, J. Tiago Gonçalves, Emily M. Hatch, Jérôme Mertens, Apuã C.M. Paquola, Martin W. Hetzer, Joseph R. Herdy, Jürgen Winkler, Jun Yao and Yongsung Kim. Their work appears in journals such as Nature Methods, Cell stem cell, Structure, Current Protocols in Stem Cell Biology and Proceedings of the National Academy of Sciences.
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.