John Wu

465 citations
16 papers · 361 indexed · h-index 10

John Wu

16 papers receiving 330 citations

Peers

John Wu
Comparison fields: 5 of 54
  • Parasitology 89
  • Biotechnology 107
  • Food Science 154
  • Endocrinology 31
  • Agronomy and Crop Science 60
Replace Laura Chiavacci with:
Laura Chiavacci Italy
Rosa Maria Piatti Brazil
Nathan Bauer United States
Yusuf Yakubu Nigeria
Boris Skalka Czechia
J. Scheftel United States
J. S. Kaminjolo Trinidad and Tobago
K. Porteen India
Pär-Gunnar Lantz Sweden
V. M. Vaidya India
John Wu relative to Laura Chiavacci Italy Laura Chiavacci's profile →
Citations per field
00.5×1.5×
Laura Chiavacci · 1×
Citations per year

Countries citing papers authored by John Wu

Since Specialization
Citations

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

Fields of papers citing papers by John Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20242
2 20249
3 20125
4
Pig and herd level prevalence of Toxoplasma gondii in Ontario finisher pigs in 2001, 2003, and 2004.
200813
5
Seroprevalence of and agroecological risk factors for Mycobacterium avium subspecies paratuberculosis and neospora caninum infection among adult beef cattle in cow-calf herds in Alberta, Canada.
200720
6 200722
7 2006124
8 20061
9 200547
10
Evaluation of a covalent mix-enzyme linked immunosorbent assay for screening of Salmonella antibodies in pig serum.
20043
11 20032
12
Mycobacterium paratuberculosis in dairy herds in Alberta.
200330
13
Validation of 2 commercial Neospora caninum antibody enzyme linked immunosorbent assays.
200234
14
Seroprevalence of Neospora caninum in beef cattle in northern Alberta.
200120
15
Reproductive performance of a cow-calf herd following a Neospora caninum-associated abortion epidemic.
200127
16 20012

About John Wu

John Wu is a scholar working on Parasitology, Biotechnology, Food Science, Microbiology and Small Animals, having authored 16 papers that have together received 361 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Toxoplasma gondii Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Parasitic Infections and Diagnostics (3 papers), Listeria monocytogenes in Food Safety (3 papers), Mycobacterium research and diagnosis (3 papers), Infectious Diseases and Mycology (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Parasitology (89 citations), Biotechnology (107 citations), Food Science (154 citations), Endocrinology (31 citations) and Agronomy and Crop Science (60 citations). John Wu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ken Manninen, Robin King, Valerie Bohaychuk, Lynn M. McMullen, Gary Gensler, Michael E. Stiles, Ole E. Sørensen, Eudora Y. Chow, Sally A. Dreger and Cheryl Waldner. Their work appears in journals such as Journal of Food Protection, Bioresource Technology, Foodborne Pathogens and Disease, Drug Discovery Today and Nature Reviews Drug Discovery.

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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2026