Nathan C. Simon
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
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- Toxin Mechanisms and Immunotoxins
Papers in
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- Toxin Mechanisms and Immunotoxins 8
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- Bacillus and Francisella bacterial research 2
- Cell death mechanisms and regulation 2
- Bacterial biofilms and quorum sensing 1
- Co-authors
- Joseph Barbieri (6 shared papers)Klaus Aktories (1 shared paper)David FitzGerald (2 shared papers)Antonella Antignani (5 shared papers)Stephen M. Hewitt (3 shared papers)Andrew D. Hauser (1 shared paper)Ellen Lorimer (1 shared paper)James J. Mun (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Microbial Pathogenesis (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Toxins (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Nathan C. Simon
12 papers receiving 365 citations
Peers
Comparison fields: 5 of 59
- Endocrinology 44
- Immunology 157
- Biotechnology 49
- Molecular Medicine 28
- Physiology 25
Countries citing papers authored by Nathan C. Simon
This map shows the geographic impact of Nathan C. Simon'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 Nathan C. Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan C. Simon more than expected).
Fields of papers citing papers by Nathan C. Simon
This network shows the impact of papers produced by Nathan C. Simon. 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 Nathan C. Simon. The network helps show where Nathan C. Simon may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan C. Simon, 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 | 157 | |
| 2 | 2016 | 45 | |
| 3 | 2014 | 36 | |
| 4 | 2011 | 32 | |
| 5 | 2016 | 23 | |
| 6 | 2019 | 21 | |
| 7 | 2014 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 8 | |
| 12 | 2017 | 1 |
About Nathan C. Simon
Nathan C. Simon is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Bacillus and Francisella bacterial research (2 papers), Transgenic Plants and Applications (2 papers), Cell death mechanisms and regulation (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Endocrinology (44 citations), Immunology (157 citations), Biotechnology (49 citations), Molecular Medicine (28 citations) and Physiology (25 citations). Nathan C. Simon has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Joseph Barbieri, Klaus Aktories, David FitzGerald, Antonella Antignani, Stephen M. Hewitt, Andrew D. Hauser, Ellen Lorimer, James J. Mun, Connie Tam and Suzanne M. J. Fleiszig. Their work appears in journals such as Journal of Biological Chemistry, Microbial Pathogenesis, JNCI Journal of the National Cancer Institute, Toxins and Infection and Immunity.
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.