John J. Ferrie
Impact in
- Biophysics top 5%
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Protein Structure and Dynamics 5
- Chemical Synthesis and Analysis 5
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 3
- Protein Degradation and Inhibitors 2
-
- Parkinson's Disease Mechanisms and Treatments 6
- Co-authors
- E. James Petersson (20 shared papers)Xavier Darzacq (4 shared papers)Robert Tjian (4 shared papers)Chia‐Ju Hsieh (4 shared papers)Conor M. Haney (4 shared papers)Robert H. Mach (4 shared papers)Xing Chen (1 shared paper)Elizabeth G. Mietlicki‐Baase (1 shared paper)
- Journals
- Chemical Communications (5 papers)The Journal of Physical Chemistry B (4 papers)Molecular Cell (2 papers)Organic & Biomolecular Chemistry (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
John J. Ferrie
26 papers receiving 729 citations
Peers
Comparison fields: 5 of 75
- Biophysics 61
- Neurology 127
- Molecular Biology 476
- Organic Chemistry 144
- Physiology 92
Countries citing papers authored by John J. Ferrie
This map shows the geographic impact of John J. Ferrie'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 J. Ferrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Ferrie more than expected).
Fields of papers citing papers by John J. Ferrie
This network shows the impact of papers produced by John J. Ferrie. 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 J. Ferrie. The network helps show where John J. Ferrie may publish in the future.
Co-authors
The 25 scholars most cited alongside John J. Ferrie, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2017 | 85 | |
| 3 | 2022 | 80 | |
| 4 | 2018 | 64 | |
| 5 | 2015 | 37 | |
| 6 | 2020 | 37 | |
| 7 | 2023 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2016 | 28 | |
| 10 | 2018 | 26 | |
| 11 | 2022 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2012 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 13 |
About John J. Ferrie
John J. Ferrie is a scholar working on Molecular Biology, Neurology, Organic Chemistry, Materials Chemistry and Physiology, having authored 26 papers that have together received 731 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (5 papers), RNA and protein synthesis mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Click Chemistry and Applications (4 papers), Genomics and Chromatin Dynamics (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Biophysics (61 citations), Neurology (127 citations), Molecular Biology (476 citations), Organic Chemistry (144 citations) and Physiology (92 citations). John J. Ferrie has collaborated with scholars based in United States, China and Japan. Frequent co-authors include E. James Petersson, Xavier Darzacq, Robert Tjian, Chia‐Ju Hsieh, Conor M. Haney, Robert H. Mach, Xing Chen, Elizabeth G. Mietlicki‐Baase, Kieran Koch‐Laskowski and Lauren E. McGrath. Their work appears in journals such as Chemical Communications, The Journal of Physical Chemistry B, Molecular Cell, Organic & Biomolecular Chemistry and Applied Physics Letters.
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.