John P. Marken
Impact in
-
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 2
- Bacterial biofilms and quorum sensing 1
- Single-cell and spatial transcriptomics 1
-
- Neuroscience and Neural Engineering 2
- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neuropharmacology Research 1
- Photoreceptor and optogenetics research 1
- Co-authors
- Pamela A. Silver (1 shared paper)Richard M. Murray (1 shared paper)Margaret S. Saha (4 shared papers)Peter Kemper (3 shared papers)Natalie G. Farny (1 shared paper)Traci Haddock-Angelli (1 shared paper)Christopher T. Workman (1 shared paper)Kim de Mora (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Nature Reviews Microbiology (1 paper)Journal of Biological Engineering (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesDenmarkJapan
In The Last Decade
John P. Marken
7 papers receiving 109 citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 71
- Biotechnology 7
- Genetics 19
- Developmental Neuroscience 2
- Biophysics 3
Countries citing papers authored by John P. Marken
This map shows the geographic impact of John P. Marken'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 John P. Marken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Marken more than expected).
Fields of papers citing papers by John P. Marken
This network shows the impact of papers produced by John P. Marken. 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 John P. Marken. The network helps show where John P. Marken may publish in the future.
Co-authors
The 13 scholars most cited alongside John P. Marken, 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 | 2024 | 44 | |
| 2 | 2018 | 32 | |
| 3 | 2023 | 14 | |
| 4 | 2021 | 7 | |
| 5 | 2019 | 7 | |
| 6 | 2016 | 3 | |
| 7 | 2020 | 2 |
About John P. Marken
John P. Marken is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biophysics, Cognitive Neuroscience and Environmental Engineering, having authored 7 papers that have together received 109 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Neurobiology and Insect Physiology Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Neural dynamics and brain function (1 paper), Photoreceptor and optogenetics research (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Molecular Biology (71 citations), Biotechnology (7 citations), Genetics (19 citations), Developmental Neuroscience (2 citations) and Biophysics (3 citations). John P. Marken has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Pamela A. Silver, Richard M. Murray, Margaret S. Saha, Peter Kemper, Natalie G. Farny, Traci Haddock-Angelli, Christopher T. Workman, Kim de Mora, Marko Storch and Jacob Beal. Their work appears in journals such as PLoS ONE, Nature Communications, Nature Reviews Microbiology, Journal of Biological Engineering and Journal of Visualized Experiments.
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.