G. Ibata

19 papers receiving 1.0k citations

Peers

G. Ibata
Comparison fields: 5 of 39
  • Agronomy and Crop Science 976
  • Ecology, Evolution, Behavior and Systematics 670
  • Cardiology and Cardiovascular Medicine 500
  • Animal Science and Zoology 238
  • Infectious Diseases 401
Replace A.J. de Smit with:
A.J. de Smit Netherlands
J. J. Sands United Arab Emirates
P.L. Eblé Netherlands
N. J. Knowles United Kingdom
K. Weerdmeester Netherlands
T. Sandvik Norway
Jajati K. Mohapatra India
Gediminas Pridotkas Lithuania
Ana Cristina Sbaraini Mósena Brazil
Begoña Valdazo‐González United Kingdom
G. Ibata relative to A.J. de Smit Netherlands A.J. de Smit's profile →
Citations per field
00.5×1.5×2.0×
A.J. de Smit · 1×
Citations per year

Countries citing papers authored by G. Ibata

Since Specialization
Citations

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

Fields of papers citing papers by G. Ibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001310
2 1996171
3
A proposed division of the pestivirus genus using monoclonal antibodies, supported by cross-neutralisation assays and genetic sequencing.
1995113
4 199983
5 199877
6 199953
7 199152
8 200950
9 199934
10 200731
11 199321
12 199520
13 200720
14 199917
15 199117
16
A blocking ELISA to differentiate hog cholera virus antibodies in pig sera from those due to other pestiviruses.
199011
17 200810
18 20127
19 19895

About G. Ibata

G. Ibata is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Viral Infections and Immunology Research (10 papers), Animal Virus Infections Studies (8 papers), Vector-Borne Animal Diseases (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Streptococcal Infections and Treatments (1 paper), Animal health and immunology (1 paper) and Livestock Farming and Management (1 paper). The work is most often cited by research in Agronomy and Crop Science (976 citations), Ecology, Evolution, Behavior and Systematics (670 citations), Cardiology and Cardiovascular Medicine (500 citations), Animal Science and Zoology (238 citations) and Infectious Diseases (401 citations). G. Ibata has collaborated with scholars based in United Kingdom, United Arab Emirates and Italy. Frequent co-authors include David J. Paton, S. Edwards, Paul Lowings, J. R. Needham, Adrian McGoldrick, Ayman S. Moussa, W. Rossmanith, Angelika Loitsch, Štefan Vilček and Ladislav Strojný. Their work appears in journals such as Veterinary Record, Veterinary Microbiology, Epidemiology and Infection, Archives of Virology and Archives of Disease in Childhood.

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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