Anh Do

1.9k citations
30 papers · 1.1k indexed · 1 hit paper · h-index 14

Anh Do

28 papers receiving 1.1k citations

Hit Papers

Nasal Gene Expression of Angiotensin-Converting Enzyme 2 ...5382020202620222024100200300400500

Peers

Anh Do
Comparison fields: 5 of 125
  • Infectious Diseases 419
  • Obstetrics and Gynecology 121
  • Gastroenterology 77
  • Modeling and Simulation 42
  • Neurology 126
Replace Jun Ye with:
Jun Ye China
Yigang Zeng China
Yan Xiong China
Huiying Shi China
Yu Gong China
Vaishali R. Moulton United States
Qiang Xiao China
Alfin G. Vicencio United States
Linda Wittkop France
Ram Doolman Israel
Anh Do relative to Jun Ye China Jun Ye's profile →
Citations per field
00.5×6.7×
Jun Ye · 1×
Citations per year

Countries citing papers authored by Anh Do

Since Specialization
Citations

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

Fields of papers citing papers by Anh Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20232
4 20229
5 202247
6 202217
7 20222
8 202215
9 202218
10 202113
11 20201
12 202050
13
A 12-week multidisciplinary integrated treatment approach is superior to standard care for symptom reduction in patients with functional gastrointestinal disorders: A case-control study
20191
14 201869
15 201733
16 201637
17 20137
18 200733
19 200540
20 20019

About Anh Do

Anh Do is a scholar working on Gastroenterology, Immunology and Allergy and Safety Research, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (5 papers), Gut microbiota and health (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Asthma and respiratory diseases (3 papers), Health, psychology, and well-being (2 papers), Cervical Cancer and HPV Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Gastrointestinal disorders and treatments (1 paper). The work is most often cited by research in Infectious Diseases (419 citations), Obstetrics and Gynecology (121 citations) and Gastroenterology (77 citations). Anh Do has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Supinda Bunyavanich, Alfin G. Vicencio, Paul F. Lambert, Elsa R. Flores, Stefan Duensing, Karl Münger, Anette Duensing, Tomomi Nakahara, David P. Fairlie and Robert C. Reid. Their work appears in journals such as Gastroenterology, Journal of Allergy and Clinical Immunology, Nature Communications, Journal of Virology and Clinical Epigenetics.

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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