J C Williams

486 citations
7 papers · 365 indexed · h-index 6
Topics
Vector-borne infectious diseases (7 papers)Viral Infections and Vectors (3 papers)Vector-Borne Animal Diseases (3 papers)
Partner nations
Canada

In The Last Decade

J C Williams

7 papers receiving 339 citations

Peers

J C Williams
Comparison fields: 5 of 32
  • Parasitology 334
  • Infectious Diseases 203
  • Ecology, Evolution, Behavior and Systematics 183
  • Public Health, Environmental and Occupational Health 71
  • Virology 51
Replace H. Tissot Dupont with:
H. Tissot Dupont France
C R Greene United States
J.E. Jardine South Africa
Jeroen J. A. Schellekens Netherlands
Joshua S. Self United States
Myriam Prigent France
Anne Touratier France
Satoshi Zakimi Japan
Sarah Porter Belgium
Gemma Vincent Australia
J C Williams relative to H. Tissot Dupont France H. Tissot Dupont's profile →
Citations per field
00.5×1.5×
H. Tissot Dupont · 1×
Citations per year

Countries citing papers authored by J C Williams

Since Specialization
Citations

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

Fields of papers citing papers by J C Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J C Williams. 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 J C Williams. The network helps show where J C Williams may publish in the future.

Co-authorship network of co-authors of J C Williams

This figure shows the co-authorship network connecting the top 25 collaborators of J C Williams. A scholar is included among the top collaborators of J C Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J C Williams. J C Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Serological response in sheep vaccinated against Coxiella burnetii (Q fever).
6
2
The Genera Coxiella, Wolbachia, and Rickettsiella,
2
3 137
4 64
5 54
6
Placentitis and Abortion in Goats and Sheep in Ontario Caused by Coxiella burnetii.
81
7 21

About J C Williams

J C Williams is a scholar working on Parasitology, Virology and Infectious Diseases, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (3 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Parasitology (334 citations), Infectious Diseases (203 citations) and Virology (51 citations). J C Williams has collaborated with scholars based in Canada. Frequent co-authors include Thomas J. Marrie, Heather Durant, Eric Mintz, David M. Waag, Lynda Yates, H Vellend, Douglas W. Key, M G Peacock, N. Palmer and James D. Fraser. Their work appears in journals such as The Lancet, American Journal of Public Health and The Journal of Infectious Diseases.

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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