Jonathan Laserson
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 3
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Daphne Koller (3 shared papers)Vladimir Jojic (2 shared papers)Reuven Bar-Yehuda (2 shared papers)David Furman (1 shared paper)Tho D. Pham (1 shared paper)Eleanor L. Marshall (1 shared paper)Cornelia L. Dekker (1 shared paper)Andrew Z. Fire (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)PLoS Pathogens (1 paper)Journal of Computational Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Jonathan Laserson
11 papers receiving 675 citations
Peers
Comparison fields: 5 of 83
- Immunology 324
- Radiology, Nuclear Medicine and Imaging 174
- Virology 36
- Epidemiology 135
- Health Information Management 16
Countries citing papers authored by Jonathan Laserson
This map shows the geographic impact of Jonathan Laserson'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 Laserson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Laserson more than expected).
Fields of papers citing papers by Jonathan Laserson
This network shows the impact of papers produced by Jonathan Laserson. 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 Laserson. The network helps show where Jonathan Laserson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Laserson, 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 | 2014 | 200 | |
| 2 | 2013 | 144 | |
| 3 | 2014 | 134 | |
| 4 | 2011 | 96 | |
| 5 | 2011 | 39 | |
| 6 | 2011 | 20 | |
| 7 | 2010 | 20 | |
| 8 | 2007 | 15 | |
| 9 | 2006 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2018 | 0 |
About Jonathan Laserson
Jonathan Laserson is a scholar working on Radiology, Nuclear Medicine and Imaging, Virology, Industrial and Manufacturing Engineering, Epidemiology and Immunology, having authored 12 papers that have together received 689 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Optimization and Packing Problems (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Scheduling and Optimization Algorithms (2 papers), T-cell and B-cell Immunology (2 papers), HIV Research and Treatment (2 papers) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Immunology (324 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Virology (36 citations), Epidemiology (135 citations) and Health Information Management (16 citations). Jonathan Laserson has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Daphne Koller, Vladimir Jojic, Reuven Bar-Yehuda, David Furman, Tho D. Pham, Eleanor L. Marshall, Cornelia L. Dekker, Andrew Z. Fire, Katherine Jackson and Yi Liu. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Journal of Computational Biology, Proceedings of the National Academy of Sciences and Computer Methods and Programs in Biomedicine.
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.