Long Ta
Impact in
- Gastroenterology top 5%
- Gastroesophageal reflux and treatments
- Gastrointestinal motility and disorders
- Small Animals top 5%
- Veterinary medicine and infectious diseases
Papers in
- Surgery 7
- Helicobacter pylori-related gastroenterology studies 6
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- Veterinary medicine and infectious diseases 4
- Co-authors
- Hò Thị Dung (6 shared papers)Yoshio Yamaoka (5 shared papers)Toshio Fujioka (5 shared papers)Masaaki Kodama (5 shared papers)Tadayoshi Okimoto (5 shared papers)Kazunari Murakami (5 shared papers)Takeshi Matsuhisa (5 shared papers)Yoshiyuki Tsukamoto (4 shared papers)
- Journals
- BMC Microbiology (1 paper)Digestive Diseases and Sciences (1 paper)Veterinary Immunology and Immunopathology (1 paper)Irish Veterinary Journal (1 paper)Journal of Clinical Gastroenterology (1 paper)
- Partner nations
- VietnamJapanUnited States
In The Last Decade
Long Ta
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 55
- Gastroenterology 109
- Small Animals 57
- Surgery 253
- Immunology 108
- Microbiology 29
Countries citing papers authored by Long Ta
This map shows the geographic impact of Long Ta'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 Long Ta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ta more than expected).
Fields of papers citing papers by Long Ta
This network shows the impact of papers produced by Long Ta. 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 Long Ta. The network helps show where Long Ta may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Ta, 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 | 2010 | 67 | |
| 2 | 2003 | 64 | |
| 3 | 2012 | 51 | |
| 4 | 2009 | 42 | |
| 5 | 2010 | 39 | |
| 6 | 2017 | 27 | |
| 7 | Influence of laboratory test volume and geographic location on maternal alpha-fetoprotein results. Information from the College of American Pathologists Maternal alpha-fetoprotein Survey. | 1991 | 18 |
| 8 | 2009 | 15 | |
| 9 | 2009 | 11 | |
| 10 | Advancement in Study on Development of Ecological Risk Assessment Framework | 2015 | 2 |
| 11 | 2017 | 2 |
About Long Ta
Long Ta is a scholar working on Surgery, Small Animals, Immunology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (6 papers), Veterinary medicine and infectious diseases (4 papers), Galectins and Cancer Biology (3 papers), Gastric Cancer Management and Outcomes (3 papers), Microbial infections and disease research (2 papers), Rabies epidemiology and control (1 paper), Genetic Associations and Epidemiology (1 paper) and Evaluation and Optimization Models (1 paper). The work is most often cited by research in Gastroenterology (109 citations), Small Animals (57 citations), Surgery (253 citations), Immunology (108 citations) and Microbiology (29 citations). Long Ta has collaborated with scholars based in Vietnam, Japan and United States. Frequent co-authors include Hò Thị Dung, Yoshio Yamaoka, Toshio Fujioka, Masaaki Kodama, Tadayoshi Okimoto, Kazunari Murakami, Takeshi Matsuhisa, Yoshiyuki Tsukamoto, Masatsugu Moriyama and Tomohisa Uchida. Their work appears in journals such as BMC Microbiology, Digestive Diseases and Sciences, Veterinary Immunology and Immunopathology, Irish Veterinary Journal and Journal of Clinical Gastroenterology.
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.