Cong Dai

2.1k citations
78 papers · 1.2k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Cong Dai

65 papers receiving 1.1k citations

Hit Papers

The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005–2018 2024 · 60 citations
600+1Years since publication204060

Peers

Cong Dai
Comparison fields: 5 of 110
  • Gastroenterology 222
  • Hepatology 87
  • Genetics 295
  • Pharmacy 46
  • Epidemiology 295
Replace Yun Jeong Lim with:
Yun Jeong Lim South Korea
Kelly C. Cushing United States
Maria DʼArmiento Italy
Grażyna Rydzewska Poland
Gordon W. Moran United Kingdom
Stefan‐Lucian Popa Romania
Vadim Sherman United States
Changhyun Lee South Korea
Yi Cui China
Puneet Gupta United States
Cong Dai relative to Yun Jeong Lim South Korea Yun Jeong Lim's profile →
Citations per field
00.5×5.8×
Yun Jeong Lim · 1×
Citations per year

Countries citing papers authored by Cong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Cong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012134
2 201579
3 202071
4
The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005–2018
Hit paper breakdown →
202460
5 201358
6 201155
7 201554
8 202046
9 202241
10 201339
11 201538
12 201935
13 201134
14 201432
15 201830
16 201930
17 202228
18 201826
19 202023
20 202422

About Cong Dai

Cong Dai is a scholar working on Genetics, Epidemiology, Surgery, Molecular Biology and Gastroenterology, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (31 papers), Microscopic Colitis (19 papers), Gastrointestinal motility and disorders (9 papers), Particle Detector Development and Performance (7 papers), Gut microbiota and health (7 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Dark Matter and Cosmic Phenomena (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Gastroenterology (222 citations), Hepatology (87 citations), Genetics (295 citations), Pharmacy (46 citations) and Epidemiology (295 citations). Cong Dai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Min Jiang, Li-Xuan Sang, Min Jiang, Weixin Liu, Qin Cao, Zheng Zhou, Changqing Zheng, Yu‐Hong Huang, Mingjun Sun and Yühong Huang. Their work appears in journals such as Inflammatory Bowel Diseases, Journal of Crohn s and Colitis, Journal of Clinical Gastroenterology, International Immunopharmacology and Journal of Instrumentation.

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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