Jonathan N. Sachs
- Molecular Biology top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Cell Biology top 5%
- Biomedical Engineering top 10%
- Physiology top 10%
- Co-authors
- Jason D. PerlmutterAnthony R. BraunThomas B. WoolfJohn F. NagleJohn KatsarasNorbert KučerkaJeremy PencerChristopher C. Valley
- Topics
- Lipid Membrane Structure and Behavior (41 papers)Protein Structure and Dynamics (16 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jonathan N. Sachs
80 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.7k
- Atomic and Molecular Physics, and Optics 736
- Cell Biology 333
- Biomedical Engineering 332
- Physiology 306
Countries citing papers authored by Jonathan N. Sachs
This map shows the geographic impact of Jonathan N. Sachs'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 Jonathan N. Sachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan N. Sachs more than expected).
Fields of papers citing papers by Jonathan N. Sachs
This network shows the impact of papers produced by Jonathan N. Sachs. 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 Jonathan N. Sachs. The network helps show where Jonathan N. Sachs may publish in the future.
Co-authorship network of co-authors of Jonathan N. Sachs
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan N. Sachs. A scholar is included among the top collaborators of Jonathan N. Sachs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan N. Sachs. Jonathan N. Sachs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 45 | |
| 7 | 20 | |
| 8 | 48 | |
| 9 | 24 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 69 | |
| 14 | 52 | |
| 15 | 40 | |
| 16 | 12 | |
| 17 | 45 | |
| 18 | 45 | |
| 19 | 122 | |
| 20 | 27 |
About Jonathan N. Sachs
Jonathan N. Sachs is a scholar working on Molecular Biology, Neurology and Immunology, having authored 81 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (41 papers), Protein Structure and Dynamics (16 papers) and Parkinson's Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Atomic and Molecular Physics, and Optics (736 citations) and Cell Biology (333 citations). Jonathan N. Sachs has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jason D. Perlmutter, Anthony R. Braun, Thomas B. Woolf, John F. Nagle, John Katsaras, Norbert Kučerka, Jeremy Pencer, Christopher C. Valley, Andrew K. Lewis and Scott E. Feller. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.