Jo Hardstaff

509 citations
17 papers · 344 · h-index 9

Impact in

Papers in

Jo Hardstaff

15 papers receiving 332 citations

Peers

Jo Hardstaff
Comparison fields: 5 of 64
  • Agronomy and Crop Science 87
  • Small Animals 56
  • Neurology 102
  • Genetics 44
  • Microbiology 27
Replace JRW GLASTONBURY with:
JRW GLASTONBURY Australia
Angélica Terezinha Barth Wouters Brazil
I. Fernández France
James G. Thorne United States
Verónica Spalenza Italy
Siân Mitchell United Kingdom
Bart Sustronck Belgium
Hyun‐Joo Sohn South Korea
Kevin E. Washburn United States
Graciela Nora Arenas Argentina
Jo Hardstaff relative to JRW GLASTONBURY Australia JRW GLASTONBURY's profile →
Citations per field
00.5×10×15×21.5×
JRW GLASTONBURY · 1×
Citations per year

Countries citing papers authored by Jo Hardstaff

Since Specialization
Citations

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

Fields of papers citing papers by Jo Hardstaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007117
2 201393
3 201631
4 201519
5 201919
6 202115
7 202314
8 201410
9 201310
10 20125
11 20224
12 20182
13 20122
14
Estimating Quality Adjusted Life Years and Willingness to Pay Values for Microbiological Foodborne Disease (Phase 2)
20172
15 20201
16 20230
17 20230

About Jo Hardstaff

Jo Hardstaff is a scholar working on Epidemiology, Agronomy and Crop Science, Food Science, Infectious Diseases and Small Animals, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Mycobacterium research and diagnosis (2 papers), Data-Driven Disease Surveillance (2 papers), Agricultural safety and regulations (2 papers), Animal Behavior and Welfare Studies (2 papers), Food Allergy and Anaphylaxis Research (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Agronomy and Crop Science (87 citations), Small Animals (56 citations), Neurology (102 citations), Genetics (44 citations) and Microbiology (27 citations). Jo Hardstaff has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Christopher E. Shaw, Clare Johnston, P. Nigel Leigh, Biba Stanton, Robert Howard, Mohamed Sakel, J.A. Clarke, Ammar Al‐Chalabi, Richard W. Orrell and Katharina D.C. Stärk. Their work appears in journals such as Epidemiology and Infection, Veterinary Record, Preventive Veterinary Medicine, Influenza and Other Respiratory Viruses and BMC Veterinary Research.

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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