Long Ta

478 citations
12 papers · 384 · h-index 10

Impact in

    • Gastrointestinal motility and disorders
    • Gastroesophageal reflux and treatments
  • Surgery top 10%
    • Helicobacter pylori-related gastroenterology studies

Papers in

    • Helicobacter pylori-related gastroenterology studies 7
    • Gastrointestinal motility and disorders 2

Long Ta

12 papers receiving 367 citations

Peers

Long Ta
Comparison fields: 5 of 34
  • Gastroenterology 65
  • Surgery 254
  • Microbiology 26
  • Obstetrics and Gynecology 9
  • Pediatrics, Perinatology and Child Health 11
Replace Kiran Bidari with:
Kiran Bidari United States
Alcides José Branco Filho Brazil
S R Potts United Kingdom
Н. Н. Дехнич Russia
José María Pajares García Italy
Merve Usta Türkiye
Kuang Horng Kang United States
Sundramoorthy Mahendra Raj Malaysia
Sidney L. Levinson United States
Arnon Lambroza United States
Long Ta relative to Kiran Bidari United States Kiran Bidari's profile →
Citations per field
00.5×2×3.5×
Kiran Bidari · 1×
Citations per year

Countries citing papers authored by Long Ta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Long Ta Line = papers co-authored together Long Ta links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201077
2 200370
3 201252
4 200948
5 201041
6 201728
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.
199119
8 200916
9 202316
10 200913
11 20172
12 20242

About Long Ta

Long Ta is a scholar working on Surgery, Gastroenterology, Microbiology, Infectious Diseases and Physiology, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (7 papers), Gastrointestinal motility and disorders (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Tuberculosis Research and Epidemiology (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Gastroenterology (65 citations), Surgery (254 citations), Microbiology (26 citations), Obstetrics and Gynecology (9 citations) and Pediatrics, Perinatology and Child Health (11 citations). Long Ta has collaborated with scholars based in Vietnam, Japan and China. Frequent co-authors include Ho Dang Quy Dung, Yoshio Yamaoka, Toshio Fujioka, Tadayoshi Okimoto, Masaaki Kodama, Kazunari Murakami, Takeshi Matsuhisa, John H. Eckfeldt, Tomohisa Uchida and Yoshiyuki Tsukamoto. Their work appears in journals such as Clinical and Vaccine Immunology, European Journal of Clinical Microbiology & Infectious Diseases, Digestive Diseases and Sciences, BMC Gastroenterology and Frontiers in Medicine.

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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