J. J. Giambrone

2.2k citations
106 papers · 1.8k indexed · h-index 23
Topics
Virology and Viral Diseases (36 papers)Vector-Borne Animal Diseases (30 papers)Animal Virus Infections Studies (26 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

J. J. Giambrone

105 papers receiving 1.5k citations

Peers

J. J. Giambrone
Comparison fields: 5 of 76
  • Epidemiology 808
  • Animal Science and Zoology 736
  • Infectious Diseases 438
  • Plant Science 314
  • Ecology, Evolution, Behavior and Systematics 282
Replace A. A. Bickford with:
A. A. Bickford United States
Frederic J. Hoerr United States
E.D. Heller Israel
Parimal Roy India
Masami Mochizuki Japan
Silke Rautenschlein Germany
Tsuneo FUKATA Japan
Koichi Otsuki Japan
B. S. Pomeroy United States
Robert A. Heckert United States
J. J. Giambrone relative to A. A. Bickford United States A. A. Bickford's profile →
Citations per field
00.5×1.5×2.0×
A. A. Bickford · 1×
Citations per year

Countries citing papers authored by J. J. Giambrone

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Giambrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Giambrone

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Giambrone. A scholar is included among the top collaborators of J. J. Giambrone 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. J. Giambrone. J. J. Giambrone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Effect of Maternal Antibodies on the Pathogenesis of Avian Reovirus Infections in Broiler Chickens Using Real-Time Reverse Transcriptase Polymerase Chain Reaction
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2 2
3 3
4 10
5 5
6 8
7 12
8 8
9 32
10 40
11 7
12 13
13 12
14 12
15 26
16 1
17 55
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19 7
20
In vivo function tests of the effect of tilorone and niridazole on cell-mediated immunity in chickens.
4

About J. J. Giambrone

J. J. Giambrone is a scholar working on Animal Science and Zoology, Infectious Diseases and Parasitology, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (36 papers), Vector-Borne Animal Diseases (30 papers) and Animal Virus Infections Studies (26 papers). The work is most often cited by research in Animal Science and Zoology (736 citations), Parasitology (205 citations) and Infectious Diseases (438 citations). J. J. Giambrone has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Teresa Dormitorio, Frederic J. Hoerr, V S Panangala, U. L. Diener, N. D. Davis, C. S. Eidson, Hung‐Jen Liu, P.H. Klesius, Byron L. Blagburn and K.S. Macklin. Their work appears in journals such as Journal of Clinical Microbiology, Poultry Science and Biotechnology Letters.

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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