G. A. Paiba
- Endocrinology top 1%
- Escherichia coli research studies 9
- Vibrio bacteria research studies 3
- Parasitology top 5%
- Vector-borne infectious diseases 4
- Food Science top 2%
- Salmonella and Campylobacter epidemiology 10
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 4
- Biotechnology top 5%
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- Animal Disease Management and Epidemiology 4
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- Yersinia bacterium, plague, ectoparasites research 4
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- Fecal contamination and water quality 3
- Co-authors
- Richard P. SmithT. CheastyR. DalzielS. J. EvansDiane G. NewellRob DaviesF.A. Clifton-HadleyJohanne Ellis‐Iversen
- Journals
- Epidemiology and Infection (4 papers)Veterinary Record (4 papers)Journal of Applied Microbiology (2 papers)
- Partner nations
- United KingdomUnited StatesNepal
In The Last Decade
G. A. Paiba
23 papers receiving 745 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 311
- Parasitology 148
- Food Science 382
- Infectious Diseases 331
- Biotechnology 115
Countries citing papers authored by G. A. Paiba
This map shows the geographic impact of G. A. Paiba'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. A. Paiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. A. Paiba more than expected).
Fields of papers citing papers by G. A. Paiba
This network shows the impact of papers produced by G. A. Paiba. 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. A. Paiba. The network helps show where G. A. Paiba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. A. Paiba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 11 | |
| 2 | 2010 | 45 | |
| 3 | 2010 | 19 | |
| 4 | 2009 | 3 | |
| 5 | 2009 | 35 | |
| 6 | 2008 | 15 | |
| 7 | 2008 | 19 | |
| 8 | 2007 | 107 | |
| 9 | 2007 | 29 | |
| 10 | 2007 | 44 | |
| 11 | 2005 | 23 | |
| 12 | 2005 | 21 | |
| 13 | 2005 | 20 | |
| 14 | 2004 | 112 | |
| 15 | 2004 | 85 | |
| 16 | 2004 | 20 | |
| 17 | 2003 | 13 | |
| 18 | 2002 | 15 | |
| 19 | 2001 | 4 | |
| 20 | 1999 | 32 |
About G. A. Paiba
G. A. Paiba is a scholar working on Endocrinology, Parasitology, Food Science, Molecular Medicine and Agronomy and Crop Science, having authored 23 papers that have together received 786 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Escherichia coli research studies (9 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Disease Management and Epidemiology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Vector-borne infectious diseases (4 papers), Vibrio bacteria research studies (3 papers) and Fecal contamination and water quality (3 papers). The work is most often cited by research in Endocrinology (311 citations), Parasitology (148 citations), Food Science (382 citations), Infectious Diseases (331 citations) and Biotechnology (115 citations). G. A. Paiba has collaborated with scholars based in United Kingdom, United States and Nepal. Frequent co-authors include Richard P. Smith, T. Cheasty, R. Dalziel, S. J. Evans, Diane G. Newell, Rob Davies, F.A. Clifton-Hadley, Johanne Ellis‐Iversen, A. J. C. Cook and Alan McNally. Their work appears in journals such as Epidemiology and Infection, Veterinary Record, Journal of Applied Microbiology, Preventive Veterinary Medicine and Journal of Clinical Microbiology.
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.