Grant Hill-Cawthorne

4.1k citations
56 papers · 2.5k indexed · 1 hit paper · h-index 25

Grant Hill-Cawthorne

55 papers receiving 2.4k citations

Hit Papers

Rapid determination of anti-tuberculosis drug resistance ...282201520262018202250100150200250

Peers

Grant Hill-Cawthorne
Comparison fields: 5 of 140
  • Applied Microbiology and Biotechnology 147
  • Molecular Medicine 295
  • Infectious Diseases 902
  • Epidemiology 929
  • Endocrinology 130
Replace Virginia Pierce with:
Virginia Pierce United States
Su‐Mi Choi South Korea
Helen Brown United Kingdom
Dan Takeuchi Japan
Cheng-Yi Liu China
Brigitte König Germany
Anita H.J. van den Biggelaar Australia
Matthias Maiwald Singapore
Vikram Mehraj Canada
Christopher C. Kibbler United Kingdom
Grant Hill-Cawthorne relative to Virginia Pierce United States Virginia Pierce's profile →
Citations per field
00.5×4.6×
Virginia Pierce · 1×
Citations per year

Countries citing papers authored by Grant Hill-Cawthorne

Since Specialization
Citations

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

Fields of papers citing papers by Grant Hill-Cawthorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant Hill-Cawthorne. 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 Grant Hill-Cawthorne. The network helps show where Grant Hill-Cawthorne may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Grant Hill-Cawthorne, 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 Grant Hill-Cawthorne Line = papers co-authored together Grant Hill-Cawthorne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20225
3 20214
4 202179
5 2020134
6 202012
7 202021
8 20204
9 201911
10 201839
11 201865
12 201636
13 201619
14 20156
15 201519
16
Rapid determination of anti-tuberculosis drug resistance from whole-genome sequencesbreakdown →
2015282
17 201443
18 201422
19 201447
20 201356

About Grant Hill-Cawthorne

Grant Hill-Cawthorne is a scholar working on Applied Microbiology and Biotechnology, Endocrinology and Molecular Medicine, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (17 papers), Travel-related health issues (10 papers), Vibrio bacteria research studies (9 papers), Antibiotic Resistance in Bacteria (9 papers), Salmonella and Campylobacter epidemiology (6 papers), Antibiotic Use and Resistance (5 papers) and Diagnosis and treatment of tuberculosis (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (147 citations), Molecular Medicine (295 citations) and Infectious Diseases (902 citations). Grant Hill-Cawthorne has collaborated with scholars based in Australia, United Kingdom and Saudi Arabia. Frequent co-authors include Moataz Abd El Ghany, Arnab Pain, Krisna Nur Andriana Pangesti, Taane G. Clark, Alasdair Coles, Joanne Jones, Michael Fahey, Orla Tuohy, Francesc Coll and Ruth McNerney. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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