Yi Dai

2.6k citations
50 papers · 958 indexed · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Neurology top 5%
    • Autoimmune Neurological Disorders and Treatments
    • Peripheral Neuropathies and Disorders

Papers in

Yi Dai

45 papers receiving 948 citations

Peers

Yi Dai
Comparison fields: 5 of 84
  • Virology 96
  • Neurology 232
  • Obstetrics and Gynecology 91
  • Genetics 65
  • Pediatrics, Perinatology and Child Health 110
Replace Ingrid Laurendeau with:
Ingrid Laurendeau France
Simon Biddolph United Kingdom
James M. Gardner United States
Maria Luisa Dell’Acqua Italy
Hongyan Lu China
Marita Lipsanen‐Nyman Finland
Paméla Thébault Canada
Magdalena Polanczyk United States
Laurence Loubière United Kingdom
Kristi A. Koelsch United States
Yi Dai relative to Ingrid Laurendeau France Ingrid Laurendeau's profile →
Citations per field
00.5×5.3×
Ingrid Laurendeau · 1×
Citations per year

Countries citing papers authored by Yi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 20237
4 20211
5 202113
6 202110
7 20209
8 20203
9 202010
10 202013
11 2019109
12 20194
13 201947
14 201827
15 201891
16 201640
17 20150
18 201526
19 201447
20
Expression of Activator from Comamonas testosteroni with tac Promoter Containing Different-10 Consensus Sequences
20051

About Yi Dai

Yi Dai is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Virology, Genetics and Molecular Biology, having authored 50 papers that have together received 958 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), RNA Research and Splicing (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Endometriosis Research and Treatment (6 papers), Neurogenetic and Muscular Disorders Research (6 papers), Genetic Neurodegenerative Diseases (4 papers), Nuclear Structure and Function (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (96 citations), Neurology (232 citations), Obstetrics and Gynecology (91 citations), Genetics (65 citations) and Pediatrics, Perinatology and Child Health (110 citations). Yi Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liying Cui, Haitao Ren, Taisheng Li, Lan Hu, Zhifeng Qiu, Jing Xie, Yang Han, Jia Wang, Yutao Li and Jie Yang. Their work appears in journals such as Orphanet Journal of Rare Diseases, Frontiers in Neurology, The Journal of Urology, Frontiers in Microbiology and Multiple Sclerosis and Related Disorders.

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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