H. Chart

3.3k citations
107 papers · 2.7k indexed · h-index 32
  • Endocrinology top 0.2%
    • Escherichia coli research studies 68
    • Enterobacteriaceae and Cronobacter Research 8
    • Viral gastroenteritis research and epidemiology 50
    • Clostridium difficile and Clostridium perfringens research 15
  • Food Science top 0.5%
    • Salmonella and Campylobacter epidemiology 40
    • Antibiotic Resistance in Bacteria 11
    • Bacteriophages and microbial interactions 19
    • Bacterial Genetics and Biotechnology 11

H. Chart

107 papers receiving 2.4k citations

Peers

H. Chart
Comparison fields: 5 of 114
  • Endocrinology 1.4k
  • Infectious Diseases 1.2k
  • Food Science 1.1k
  • Molecular Medicine 206
  • Biotechnology 321
Replace Nobuhiko Okada with:
Nobuhiko Okada Japan
S. C. Whipp United States
Craig T. Parker United States
Andrey V. Karlyshev United Kingdom
Helene Andrews‐Polymenis United States
Manja Barthel Switzerland
Nick Dorrell United Kingdom
Shawn M. D. Bearson United States
Catherine A. Lee United States
J. Daniel Dubreuil Canada
H. Chart relative to Nobuhiko Okada Japan Nobuhiko Okada's profile →
Citations per field
00.5×1.5×
Nobuhiko Okada · 1×
Citations per year

Countries citing papers authored by H. Chart

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20115
2 200719
3 20027
4 20022
5 200012
6 200040
7 199814
8 19973
9 199482
10 199359
11 19935
12 199318
13 199225
14 199269
15 19915
16 199049
17 198928
18 198914
19 198731
20 19851

About H. Chart

H. Chart is a scholar working on Endocrinology, Infectious Diseases and Food Science, having authored 107 papers that have together received 2.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (68 papers), Viral gastroenteritis research and epidemiology (50 papers), Salmonella and Campylobacter epidemiology (40 papers), Bacteriophages and microbial interactions (19 papers), Clostridium difficile and Clostridium perfringens research (15 papers), Antibiotic Resistance in Bacteria (11 papers), Bacterial Genetics and Biotechnology (11 papers) and Enterobacteriaceae and Cronobacter Research (8 papers). The work is most often cited by research in Endocrinology (1.4k citations), Infectious Diseases (1.2k citations) and Food Science (1.1k citations). H. Chart has collaborated with scholars based in United Kingdom, Nepal and United States. Frequent co-authors include B. Rowe, Henry R. Smith, T. J. Humphrey, A. Baskerville, S. M. Scotland, T J Trust, Claire Jenkins, T. Cheasty, E. J. Threlfall and Moyra M. McConnell. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026