M A Lambert-Fair

1.2k citations
8 papers · 946 · h-index 7

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Listeria monocytogenes in Food Safety

Papers in

M A Lambert-Fair

8 papers receiving 914 citations

Peers

M A Lambert-Fair
Comparison fields: 5 of 79
  • Endocrinology 307
  • Biotechnology 284
  • Molecular Medicine 149
  • Food Science 470
  • Infectious Diseases 216
Replace T. P. Root with:
T. P. Root United States
Elisa Goffredo Italy
Mark D. Englen United States
C. Carroll Ireland
Nola Leonard Ireland
Felipé Schelotto Uruguay
Masashi Kanki Japan
John C. Galland United States
Lucas M. Wijnands Netherlands
Aleisha Reimer Canada
M A Lambert-Fair relative to T. P. Root United States T. P. Root's profile →
Citations per field
00.5×1.5×2.3×
T. P. Root · 1×
Citations per year

Countries citing papers authored by M A Lambert-Fair

Since Specialization
Citations

This map shows the geographic impact of M A Lambert-Fair'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 M A Lambert-Fair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M A Lambert-Fair more than expected).

Fields of papers citing papers by M A Lambert-Fair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M A Lambert-Fair. 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 M A Lambert-Fair. The network helps show where M A Lambert-Fair may publish in the future.

Co-authors

The 25 scholars most cited alongside M A Lambert-Fair, 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 M A Lambert-Fair Line = papers co-authored together M A Lambert-Fair links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005476
2 1997219
3
Risk factors for sporadic infection with Escherichia coli O157:H7.
199786
4 198967
5 199638
6 199029
7 199927
8 19904

About M A Lambert-Fair

M A Lambert-Fair is a scholar working on Endocrinology, Food Science, Biotechnology, Biomedical Engineering and Infectious Diseases, having authored 8 papers that have together received 946 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (4 papers), Listeria monocytogenes in Food Safety (3 papers), Escherichia coli research studies (2 papers), Advanced Chemical Sensor Technologies (2 papers), Streptococcal Infections and Treatments (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Fatty Acid Research and Health (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Endocrinology (307 citations), Biotechnology (284 citations), Molecular Medicine (149 citations), Food Science (470 citations) and Infectious Diseases (216 citations). M A Lambert-Fair has collaborated with scholars based in United States and Lebanon. Frequent co-authors include Timothy J. Barrett, Susan B. Hunter, P. Vauterin, Lewis M. Graves, Kristy Kubota, Efrain M. Ribot, C W Moss, Nancy H. Bean, Stephen Dietrich and Peggy S. Hayes. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and PubMed.

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.

Explore authors with similar magnitude of impact