Fred Long

1.5k citations
14 papers · 1.3k · h-index 12

Impact in

    • Enterobacteriaceae and Cronobacter Research
    • Escherichia coli research studies
    • Salmonella and Campylobacter epidemiology

Papers in

    • Salmonella and Campylobacter epidemiology 4
    • Advanced Proteomics Techniques and Applications 3

Fred Long

14 papers receiving 1.3k citations

Peers

Fred Long
Comparison fields: 5 of 85
  • Endocrinology 234
  • Food Science 332
  • Spectroscopy 213
  • Molecular Medicine 65
  • Clinical Biochemistry 43
Replace David K. Giles with:
David K. Giles United States
Sumita Jain United States
Manjun Yang China
An X. Tran United States
Jesse J. Jackson United States
Vassiliy N. Bavro United Kingdom
Yashwant D. Karkhanis United States
Ewa Laskowska Poland
Jinjing Ni China
Juan Aguilar Spain
Fred Long relative to David K. Giles United States David K. Giles's profile →
Citations per field
00.5×2×4×6×8.6×
David K. Giles · 1×
Citations per year

Countries citing papers authored by Fred Long

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fred Long Line = papers co-authored together Fred Long links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2009340
2 2010188
3 2009168
4 2014144
5 2013124
6 200690
7 201369
8 200957
9 200833
10 200926
11 200520
12 200916
13 201011
14 201311

About Fred Long

Fred Long is a scholar working on Food Science, Spectroscopy, Molecular Medicine, Endocrinology and Genetics, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Epigenetics and DNA Methylation (2 papers), Bacterial Genetics and Biotechnology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Enterobacteriaceae and Cronobacter Research (1 paper), Gene expression and cancer classification (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Endocrinology (234 citations), Food Science (332 citations), Spectroscopy (213 citations), Molecular Medicine (65 citations) and Clinical Biochemistry (43 citations). Fred Long has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael McClelland, Steffen Porwollik, Jan E. Schnitzer, Sabrina Shore, Jingyi Yu, Noelle M. Griffin, Yan Li, Phil Oh, Jim Koziol and Aye Wollam. Their work appears in journals such as PLoS ONE, mBio, PLoS Pathogens, International Journal of Antimicrobial Agents and Microbial Drug Resistance.

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.

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