M A Lambert
Impact in
- Clinical Biochemistry top 1%
- Bacterial Identification and Susceptibility Testing
- Endocrinology top 2%
- Legionella and Acanthamoeba research
Papers in
-
- Bacterial Identification and Susceptibility Testing 15
-
- Legionella and Acanthamoeba research 5
- Co-authors
- C W Moss (28 shared papers)Gordon O. Guerrant (3 shared papers)Charlotte M. Patton (4 shared papers)Timothy J. Barrett (3 shared papers)D J Brenner (5 shared papers)Carolyn N. Baker (2 shared papers)Paul Edmonds (2 shared papers)Dannie G. Hollis (2 shared papers)
- Journals
- Journal of Clinical Microbiology (16 papers)Applied and Environmental Microbiology (2 papers)Analytical Biochemistry (2 papers)Journal of Chromatography A (2 papers)Sexually Transmitted Infections (1 paper)
- Partner nations
- United States
In The Last Decade
M A Lambert
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Clinical Biochemistry 315
- Endocrinology 250
- Food Science 432
- Microbiology 76
- Biochemistry 73
Countries citing papers authored by M A Lambert
This map shows the geographic impact of M A Lambert'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 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 more than expected).
Fields of papers citing papers by M A Lambert
This network shows the impact of papers produced by M A Lambert. 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. The network helps show where M A Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside M A Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1974 | 163 | |
| 2 | 1982 | 149 | |
| 3 | 1987 | 99 | |
| 4 | 1989 | 97 | |
| 5 | 1982 | 91 | |
| 6 | 1987 | 89 | |
| 7 | 1971 | 83 | |
| 8 | 1983 | 72 | |
| 9 | 1989 | 69 | |
| 10 | 1983 | 66 | |
| 11 | 1983 | 58 | |
| 12 | 1981 | 53 | |
| 13 | 1972 | 51 | |
| 14 | 1986 | 50 | |
| 15 | 1984 | 47 | |
| 16 | 1970 | 44 | |
| 17 | 1984 | 41 | |
| 18 | 1970 | 32 | |
| 19 | 1989 | 31 | |
| 20 | 1971 | 28 |
About M A Lambert
M A Lambert is a scholar working on Clinical Biochemistry, Endocrinology, Food Science, Spectroscopy and Microbiology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (15 papers), Salmonella and Campylobacter epidemiology (6 papers), Analytical Chemistry and Chromatography (5 papers), Legionella and Acanthamoeba research (5 papers), Biochemical and biochemical processes (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Microbial infections and disease research (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Clinical Biochemistry (315 citations), Endocrinology (250 citations), Food Science (432 citations), Microbiology (76 citations) and Biochemistry (73 citations). M A Lambert has collaborated with scholars based in United States. Frequent co-authors include C W Moss, Gordon O. Guerrant, Charlotte M. Patton, Timothy J. Barrett, D J Brenner, Carolyn N. Baker, Paul Edmonds, Dannie G. Hollis, W F Bibb and David J. Goldsmith. Their work appears in journals such as Journal of Clinical Microbiology, Applied and Environmental Microbiology, Analytical Biochemistry, Journal of Chromatography A and Sexually Transmitted Infections.
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.