Fred Long
Impact in
- Endocrinology top 1%
- Enterobacteriaceae and Cronobacter Research
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
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- Salmonella and Campylobacter epidemiology 5
- Co-authors
- Michael McClelland (10 shared papers)Steffen Porwollik (8 shared papers)Phil Oh (2 shared papers)Jingyi Yu (2 shared papers)Sabrina Shore (2 shared papers)Jan E. Schnitzer (2 shared papers)Noelle M. Griffin (2 shared papers)Yan Li (2 shared papers)
- Journals
- mBio (2 papers)PLoS Pathogens (1 paper)Molecular & Cellular Proteomics (1 paper)Microbial Drug Resistance (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Fred Long
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Endocrinology 334
- Molecular Medicine 89
- Food Science 312
- Spectroscopy 179
- Ecology 194
Countries citing papers authored by Fred Long
This map shows the geographic impact of Fred Long'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 Fred Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Long more than expected).
Fields of papers citing papers by Fred Long
This network shows the impact of papers produced by Fred Long. 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 Fred Long. The network helps show where Fred Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Long, 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 | 2009 | 315 | |
| 2 | 2010 | 175 | |
| 3 | 2009 | 159 | |
| 4 | 2013 | 113 | |
| 5 | 2006 | 74 | |
| 6 | 2013 | 62 | |
| 7 | 2009 | 45 | |
| 8 | 2008 | 34 | |
| 9 | 2009 | 26 | |
| 10 | 2005 | 20 | |
| 11 | 2009 | 16 | |
| 12 | 2010 | 11 | |
| 13 | 2013 | 10 |
About Fred Long
Fred Long is a scholar working on Molecular Biology, Food Science, Ecology, Spectroscopy and Endocrinology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Bacteriophages and microbial interactions (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Endocrinology (334 citations), Molecular Medicine (89 citations), Food Science (312 citations), Spectroscopy (179 citations) and Ecology (194 citations). Fred Long has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael McClelland, Steffen Porwollik, Phil Oh, Jingyi Yu, Sabrina Shore, Jan E. Schnitzer, Noelle M. Griffin, Yan Li, Jim Koziol and Sang‐Ho Choi. Their work appears in journals such as mBio, PLoS Pathogens, Molecular & Cellular Proteomics, Microbial Drug Resistance and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.
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.