Frances Dang

12 papers receiving 447 citations

Frances Dang's Hit Papers

FODMAPs alter symptoms and the metabolome of patients with IBS: a randomised controlled trial 2016 · 353 citations
3530+3+6Years since publication100200300

Peers

Frances Dang
Comparison fields: 5 of 58
  • Gastroenterology 273
  • Complementary and Manual Therapy 17
  • Obstetrics and Gynecology 45
  • Pharmacy 24
  • Physiology 117
Replace Yasuhiro Kodaka with:
Yasuhiro Kodaka Japan
Sameer Zar United Kingdom
Nick Trott United Kingdom
Carolina Bolino Canada
Alexandru Cosmin Pantazi Romania
Jarosław Kwiecień Poland
Corinne Regimbeau France
JO Hunter United Kingdom
Randi K. Johnson United States
Tatiana Chisnoiu Romania
Frances Dang relative to Yasuhiro Kodaka Japan Yasuhiro Kodaka's profile →
Citations per field
00.5×10×17×
Yasuhiro Kodaka · 1×
Citations per year

Countries citing papers authored by Frances Dang

Since Specialization
Citations

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

Fields of papers citing papers by Frances Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
FODMAPs alter symptoms and the metabolome of patients with IBS: a randomised controlled trial
Hit paper breakdown →
2016353
2 201731
3 201624
4 202115
5 202312
6 202111
7 20215
8 20234
9 20242
10 20231
11 20251
12 20221
13 20240
14 20240
15 20240
16 20250
17 20250
18 20240
19 20240

About Frances Dang

Frances Dang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Speech and Hearing, having authored 19 papers that have together received 460 indexed citations. Recurring topics across this work include Esophageal and GI Pathology (4 papers), Surgical Simulation and Training (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Adolescent and Pediatric Healthcare (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Pregnancy and preeclampsia studies (1 paper), Gyrotron and Vacuum Electronics Research (1 paper) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Gastroenterology (273 citations), Complementary and Manual Therapy (17 citations), Obstetrics and Gynecology (45 citations), Pharmacy (24 citations) and Physiology (117 citations). Frances Dang has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Ammar Hassanzadeh Keshteli, Karen Madsen, Stephen Vanner, Theresa Schneider, Přemysl Berčík, Giada De Palma, Keith McIntosh, David E. Reed, Ernesto Antônio Figueiró-Filho and B. Anne Croy. Their work appears in journals such as Gastrointestinal Endoscopy, The American Journal of Gastroenterology, Gut, The American Journal of Surgery and Journal of Surgical Research.

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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