H. Chart
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Escherichia coli research studies 62
- Vibrio bacteria research studies 4
- Enterobacteriaceae and Cronobacter Research 1
- Food Science 37
- Salmonella and Campylobacter epidemiology 37
- Co-authors
- B. Rowe (61 shared papers)Henry R. Smith (13 shared papers)Arthur Baskerville (9 shared papers)T. J. Humphrey (9 shared papers)S. M. Scotland (5 shared papers)Trevor J. TRUST (3 shared papers)Claire Jenkins (9 shared papers)THOMAS CHEASTY (10 shared papers)
- Journals
- Letters in Applied Microbiology (17 papers)Epidemiology and Infection (15 papers)Journal of Applied Microbiology (13 papers)Veterinary Record (8 papers)Journal of Clinical Pathology (6 papers)
- Partner nations
- United KingdomSri LankaGermany
In The Last Decade
H. Chart
111 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 96
- Endocrinology 1.3k
- Food Science 889
- Microbiology 82
- Immunology 232
- Genetics 220
Countries citing papers authored by H. Chart
This map shows the geographic impact of H. Chart'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 H. Chart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Chart more than expected).
Fields of papers citing papers by H. Chart
This network shows the impact of papers produced by H. Chart. 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 H. Chart. The network helps show where H. Chart may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Chart, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 139 | |
| 2 | 2000 | 106 | |
| 3 | 1989 | 98 | |
| 4 | 1998 | 93 | |
| 5 | 1984 | 89 | |
| 6 | 1994 | 82 | |
| 7 | 1992 | 76 | |
| 8 | 1993 | 73 | |
| 9 | 1991 | 71 | |
| 10 | 1989 | 68 | |
| 11 | 1996 | 68 | |
| 12 | 1993 | 65 | |
| 13 | 1987 | 61 | |
| 14 | 1994 | 61 | |
| 15 | 1983 | 57 | |
| 16 | 1990 | 56 | |
| 17 | 1991 | 54 | |
| 18 | 1985 | 53 | |
| 19 | 1989 | 51 | |
| 20 | 1990 | 51 |
About H. Chart
H. Chart is a scholar working on Endocrinology, Food Science, Genetics, Immunology and Clinical Biochemistry, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Escherichia coli research studies (62 papers), Salmonella and Campylobacter epidemiology (37 papers), Bacterial Genetics and Biotechnology (7 papers), Aquaculture disease management and microbiota (4 papers), Vibrio bacteria research studies (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Enterobacteriaceae and Cronobacter Research (1 paper). The work is most often cited by research in Endocrinology (1.3k citations), Food Science (889 citations), Microbiology (82 citations), Immunology (232 citations) and Genetics (220 citations). H. Chart has collaborated with scholars based in United Kingdom, Sri Lanka and Germany. Frequent co-authors include B. Rowe, Henry R. Smith, Arthur Baskerville, T. J. Humphrey, S. M. Scotland, Trevor J. TRUST, Claire Jenkins, THOMAS CHEASTY, Moyra M. McConnell and Alison Thomas. Their work appears in journals such as Letters in Applied Microbiology, Epidemiology and Infection, Journal of Applied Microbiology, Veterinary Record and Journal of Clinical Pathology.
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.