Daniel S. Johnson
Impact in
- Virology top 10%
- HIV Research and Treatment
- Structural Biology top 10%
Papers in
-
- DNA and Nucleic Acid Chemistry 6
- Lipid Membrane Structure and Behavior 4
- DNA Repair Mechanisms 3
- Virology 5
- HIV Research and Treatment 5
- Co-authors
- Michelle D. Wang (6 shared papers)Lu Bai (3 shared papers)Smita S. Patel (4 shared papers)Benjamin Y. Smith (3 shared papers)Sanford M. Simon (9 shared papers)Maria L. Kireeva (2 shared papers)Robert M. Fulbright (2 shared papers)Jing Jin (2 shared papers)
- Journals
- Biophysical Journal (4 papers)eLife (2 papers)Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)IEEE Transactions on Plasma Science (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Daniel S. Johnson
18 papers receiving 670 citations
Peers
Comparison fields: 5 of 73
- Virology 70
- Structural Biology 16
- Biophysics 56
- Molecular Biology 481
- Cell Biology 109
Countries citing papers authored by Daniel S. Johnson
This map shows the geographic impact of Daniel S. Johnson'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 Daniel S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Johnson more than expected).
Fields of papers citing papers by Daniel S. Johnson
This network shows the impact of papers produced by Daniel S. Johnson. 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 Daniel S. Johnson. The network helps show where Daniel S. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Johnson, 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 | 2007 | 189 | |
| 2 | 2010 | 103 | |
| 3 | 2011 | 87 | |
| 4 | 2014 | 79 | |
| 5 | 2018 | 53 | |
| 6 | 2001 | 40 | |
| 7 | 2005 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2014 | 17 | |
| 10 | 2011 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2018 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2024 | 4 | |
| 15 | 2002 | 4 | |
| 16 | 2010 | 3 | |
| 17 | 2019 | 1 | |
| 18 | 2012 | 1 |
About Daniel S. Johnson
Daniel S. Johnson is a scholar working on Molecular Biology, Virology, Cell Biology, Genetics and Structural Biology, having authored 18 papers that have together received 679 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), HIV Research and Treatment (5 papers), Lipid Membrane Structure and Behavior (4 papers), Bacterial Genetics and Biotechnology (3 papers), DNA Repair Mechanisms (3 papers), Cellular transport and secretion (3 papers), Dust and Plasma Wave Phenomena (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (70 citations), Structural Biology (16 citations), Biophysics (56 citations), Molecular Biology (481 citations) and Cell Biology (109 citations). Daniel S. Johnson has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michelle D. Wang, Lu Bai, Smita S. Patel, Benjamin Y. Smith, Sanford M. Simon, Maria L. Kireeva, Robert M. Fulbright, Jing Jin, Mikhail Kashlev and Gayatri Patel. Their work appears in journals such as Biophysical Journal, eLife, Cancer Research, Proceedings of the National Academy of Sciences and IEEE Transactions on Plasma Science.
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.