Jonathan M. Solomon
Impact in
- Endocrinology top 1%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Bacterial biofilms and quorum sensing 5
- Protein Degradation and Inhibitors 2
- Fungal and yeast genetics research 2
- RNA and protein synthesis mechanisms 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Alan D. Grossman (6 shared papers)Roy David Magnuson (2 shared papers)Beth Lazazzera (2 shared papers)Ralph R. Isberg (4 shared papers)Rory Curtis (1 shared paper)L. Julie Huber (1 shared paper)Lei Xu (1 shared paper)Thomas McDonagh (1 shared paper)
- Journals
- Genes & Development (2 papers)Infection and Immunity (2 papers)Cell (2 papers)Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Jonathan M. Solomon
16 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Endocrinology 357
- Geriatrics and Gerontology 266
- Genetics 707
- Molecular Biology 1.3k
- Microbiology 106
Countries citing papers authored by Jonathan M. Solomon
This map shows the geographic impact of Jonathan M. Solomon'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 M. Solomon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Solomon more than expected).
Fields of papers citing papers by Jonathan M. Solomon
This network shows the impact of papers produced by Jonathan M. Solomon. 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 M. Solomon. The network helps show where Jonathan M. Solomon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Solomon, 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 | 2005 | 401 | |
| 2 | 1994 | 356 | |
| 3 | 1996 | 211 | |
| 4 | 1997 | 203 | |
| 5 | 2000 | 173 | |
| 6 | 1995 | 157 | |
| 7 | 1996 | 127 | |
| 8 | 2010 | 122 | |
| 9 | 2003 | 101 | |
| 10 | 2000 | 81 | |
| 11 | 2005 | 63 | |
| 12 | 2003 | 25 | |
| 13 | 2012 | 18 | |
| 14 | 2006 | 14 | |
| 15 | 2025 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2021 | 0 |
About Jonathan M. Solomon
Jonathan M. Solomon is a scholar working on Molecular Biology, Genetics, Endocrinology, Infectious Diseases and Ecology, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Bacterial biofilms and quorum sensing (5 papers), Legionella and Acanthamoeba research (3 papers), Vibrio bacteria research studies (3 papers), Protein Degradation and Inhibitors (2 papers), Fungal and yeast genetics research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Endocrinology (357 citations), Geriatrics and Gerontology (266 citations), Genetics (707 citations), Molecular Biology (1.3k citations) and Microbiology (106 citations). Jonathan M. Solomon has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Alan D. Grossman, Roy David Magnuson, Beth Lazazzera, Ralph R. Isberg, Rory Curtis, L. Julie Huber, Lei Xu, Thomas McDonagh, Peter S. DiStefano and James A. Cardelli. Their work appears in journals such as Genes & Development, Infection and Immunity, Cell, Cancer Research and Scientific Reports.
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.