C.J. Howard

2.3k citations
61 papers · 1.8k indexed · h-index 27

C.J. Howard

60 papers receiving 1.6k citations

Peers

C.J. Howard
Comparison fields: 5 of 73
  • Microbiology 758
  • Agronomy and Crop Science 602
  • Infectious Diseases 657
  • Parasitology 193
  • Immunology 537
Replace Glynn H. Frank with:
Glynn H. Frank United States
Elisabeth Liebler–Tenorio Germany
J. Storz United States
Ryô Harasawa Japan
P E Shewen Canada
I. M. Parsonson Australia
Howard D. Lehmkuhl United States
John B. Bashiruddin United Kingdom
Robert E. Briggs United States
Timothy B. Crawford United States
C.J. Howard relative to Glynn H. Frank United States Glynn H. Frank's profile →
Citations per field
00.5×1.5×2.4×
Glynn H. Frank · 1×
Citations per year

Countries citing papers authored by C.J. Howard

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200728
2 200635
3 200444
4 200330
5 200213
6 20005
7 199823
8 199641
9 19945
10 199322
11 198735
12 198723
13
Pathogenesis and epidemiology of bovine virus diarrhoea virus infection of cattle.
1987138
14 19814
15 198028
16 19803
17 197814
18 197641
19 197614
20 197516

About C.J. Howard

C.J. Howard is a scholar working on Microbiology, Parasitology, Immunology, Agronomy and Crop Science and Small Animals, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial infections and disease research (40 papers), Aquaculture disease management and microbiota (11 papers), Toxoplasma gondii Research Studies (10 papers), Bacteriophages and microbial interactions (7 papers), Herpesvirus Infections and Treatments (7 papers), Animal Disease Management and Epidemiology (7 papers), Mycobacterium research and diagnosis (5 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Microbiology (758 citations), Agronomy and Crop Science (602 citations), Infectious Diseases (657 citations), Parasitology (193 citations) and Immunology (537 citations). C.J. Howard has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include J. Brownlie, R.N. Gourlay, L.H. Thomas, Martin Clarke, Jayne C. Hope, G. Michael Taylor, S. G. Wyld, Bernardo Villarreal‐Ramos, R. Glyn Hewinson and Geraldine Taylor. Their work appears in journals such as Research in Veterinary Science, Veterinary Immunology and Immunopathology, Infection and Immunity, Veterinary Microbiology and Clinical & Experimental 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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