D. Basham

18.0k citations
9 papers · 14.9k · 7 hit papers · h-index 9

Impact in

Papers in

    • Bacterial Infections and Vaccines 2
    • Yersinia bacterium, plague, ectoparasites research 3
    • Bacterial Genetics and Biotechnology 1

D. Basham

9 papers receiving 14.3k citations

D. Basham's Hit Papers

Comparative analysis of the genome sequences of Bordetella pertussis, Bordetella parapertussis and Bordetella bronchiseptica 2003 · 844 citations
8440+9+18Years since publication2.0k4.0k6.0k

Peers

D. Basham
Comparison fields: 5 of 149
  • Infectious Diseases 6.4k
  • Endocrinology 1.4k
  • Molecular Medicine 1.2k
  • Microbiology 1.0k
  • Epidemiology 4.8k
Replace Simon A. Holroyd with:
Simon A. Holroyd United Kingdom
N. Hamlin United Kingdom
Tracey Chillingworth United Kingdom
Jason Skelton United Kingdom
Sally Whitehead United Kingdom
Kay Jagels United Kingdom
Sharon Moule United Kingdom
Theresa Feltwell United Kingdom
Mark Simmonds United Kingdom
Patrick Trieu‐Cuot France
D. Basham relative to Simon A. Holroyd United Kingdom Simon A. Holroyd's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Basham

Since Specialization
Citations

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

Fields of papers citing papers by D. Basham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Basham. 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 D. Basham. The network helps show where D. Basham may publish in the future.

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All Works

9 of 9 papers shown
#Work
1
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Hit paper breakdown →
19986682
2
The genome sequence of the food-borne pathogen Campylobacter jejuni reveals hypervariable sequences
Hit paper breakdown →
20001685
3
Massive gene decay in the leprosy bacillus
Hit paper breakdown →
20011445
4
The genome sequence of Schizosaccharomyces pombe
Hit paper breakdown →
20021316
5
Complete genome sequence of a multiple drug resistant Salmonella enterica serovar Typhi CT18
Hit paper breakdown →
20011063
6
Genome sequence of Yersinia pestis, the causative agent of plague
Hit paper breakdown →
20011004
7
Comparative analysis of the genome sequences of Bordetella pertussis, Bordetella parapertussis and Bordetella bronchiseptica
Hit paper breakdown →
2003844
8 2000607
9 1999267

About D. Basham

D. Basham is a scholar working on Microbiology, Genetics, Molecular Biology, Infectious Diseases and Food Science, having authored 9 papers that have together received 14.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), RNA and protein synthesis mechanisms (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Bacterial Infections and Vaccines (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Infectious Diseases (6.4k citations), Endocrinology (1.4k citations), Molecular Medicine (1.2k citations), Microbiology (1.0k citations) and Epidemiology (4.8k citations). D. Basham has collaborated with scholars based in United Kingdom, France and Germany. Their work appears in journals such as Nature and Nature Genetics.

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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